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Answer SheetISDS 361BHW5YOUR FULL NAME Answer.docx
Answer Sheet ISDS 361B
HW5
YOUR FULL NAME:
Answer
Optional for Partial Credit
1.
[12 pts.]
Forecast for Saturday in week 6:
No. of Periods of Data Collected =
No. of Periods in Season =
MSE =
MAD =
MAPE =
LAD =
2.
[18 pts.]
a.
Forecast (exponential smoothing):
No. of Periods of Data Collected =
Smoothing Constant (alpha) =
Initial Forecast Value =
b.
Forecast (weighted MA):
MSE =
MAD =
MAPE =
LAD =
c.
I would recommend weighted MA (True/ False):
3.
[12 pts.]
Forecast for year 8:
MSE =
MAD =
MAPE =
LAD =
4.
[18 pts.]
Forecast for Summer Year 5:
No. of Periods of Data Collected =
No. of Periods in Season =
Coefficients:
Intercept =
Period =
1 =
2 =
Page 1 of 2
1) What is the critical F value for a sample of 7 observations in the numerator and 6 in the denominator? Use a two-tailed test and the 0.1 significance level. (Round your answer to 2 decimal places.)
F
2) Arbitron Media Research Inc. conducted a study of the iPod listening habits of men and women. One facet of the study involved the mean listening time. It was discovered that the mean listening time for men was 29 minutes per day. The standard deviation of the sample of the 10 men studied was 8 minutes per day. The mean listening time for the 12 women studied was also 29 minutes, but the standard deviation of the sample was 15 minutes. At the .10 significance level, can we conclude that there is a difference in the variation in the listening times for men and women? (Round your answer to 3 decimal places.)
The test statistic is . Decision
3) The following is sample information. Test the hypothesis that the treatment means are equal. Use the 0.01 significance level.
Treatment 1
Treatment 2
Treatment 3
7
4
4
4
5
7
6
5
6
6
4
5
(a)
State the null hypothesis and the alternate hypothesis.
H0
H1
(b)
What is the decision rule? (Round your answer to 2 decimal places.)
H0 if the test statistic is greater than .
(c&d)
Compute SST, SSE, and SS total and complete an ANOVA table. (Round SS, MS and F values to 3 decimal places.)
Source
SS
df
MS
F
Treatments
Error
Total
(e)
State your decision regarding the null hypothesis.
H0
4) A senior accounting major at Midsouth State University has job offers from four CPA firms. To explore the offers further, she asked a sample of recent trainees how many months each worked for the firm before receiving a raise in salary. The sample information is submitted to MINITAB with the following results:
Analysis of Variance
Source
DF
SS
MS
F
Factor
5
36.39
7.28
1.92
Error
12
45.54
3.80
Total
17
81.93
Reject if F > . (Round your answer to 2 .
PSY520 – Module 6Answer SheetSubmit your answers in the boxe.docx
PSY520 – Module 6
Answer Sheet
Submit your answers in the boxes provided. No credit will be given for responses not found in the correct answer area.
Chapter 16:
16.9 Given the aggression scores below for Outcome A of the sleep deprivation experiment, verify that, as suggested earlier, these mean differences shouldn’t be taken seriously by testing the null hypothesis at the .05 level of significance. Use the computation formulas for the various sums of squares and summarize results with an ANOVA table.
Hours of Sleep Deprivation
Zero
Twenty-Four
Forty-Eight
3
4
2
5
8
4
7
6
6
Group Mean:
5
6
4
Grand Mean: 5
Question:
Steps:
Calculations or Logic:
Answer:
Use the computation formulas for the various sums of squares and summarize results with an ANOVA table.
What is the research hypothesis?
What is the null hypothesis?
What are the degrees of freedom?
What is the calculated ?
What is the calculated ?
What is the calculated ?
What is the calculated ?
What is the calculated ?
What is the F?
Complete the ANOVA table:
Source
SS
df
MS
F Ratio
Treatment (between)
Error (within)
Total
16.10 Another psychologist conducts a sleep deprivation experiment. For reasons beyond his control, unequal numbers of subjects occupy the different groups. (Therefore, when calculating in SS between and SS within , you must adjust the denominator term, n , to reflect the unequal numbers of subjects in the group totals.)
Hours of Sleep Deprivation
Zero
Twenty-Four
Forty-Eight
1
4
7
3
7
12
6
5
10
2
9
1
Summarize the results with an ANOVA table. You need not do a step-by-step hypothesis test procedure:
Source
SS
df
MS
F
Treatment (between)
Error (within)
Total
If hand calculating, include formulas and calculations below. If using SPSS, include a picture, screenshot, or cut/paste of the output below.
Question:
Calculations or Logic:
Answer:
Are the results statistically significant? Yes or no?
If appropriate, estimate the effect size with η2
If appropriate, use Tukey’s HSD test (with for the sample size, n) to identify pairs of means that contribute to the significant F, given that , and
What is the HSD?
Which pairs are significant at the .05 level?
If appropriate, estimate effect sizes with Cohen’s d.
Indicate how all of the above results would be reported in the literature, given sample standard deviations of s0= 2.07, s24 =1.53, and s48=2.08.
16.12 For some experiment, imagine four possible outcomes, as described in the following ANOVA table.
A.
Source
SS
df
MS
F
Between
900
3
300
3
Within
8000
80
100
Total
8900
83
B.
Source
SS
df
MS
F
Between
1500
3
500
5
Within
8000
80
100
Total
9500
83
C.
Source
SS
df
MS
F
Between
300
3
100
1
Within
8000
80
100
Total
8300
83
D.
Source
SS
df
MS
F
Between
300
3
100
1
Within
400
4
100
Total
700
7
Question:
Calculations or Logic:
Answer:
How many groups are in Outcome D?
Assuming groups of equal size, what’s t ...
test_using_one-way_analysis_of_varianceANOVA_063847.pptx
A ppt about testing hypothesis using one way ANOVA
11.1. While a t test is used to compare two means, the o.docx
11.1. While a
t
test is used to compare
two
means
,
the one
-
way ANOV
A
c
a
n be used to simultaneously compare ____ groups.
11.2. An ANOV A is considered to be an extension of the
t
test
f
o
r
independent samples because both investigate differences bet
w
een ______.
11.3. By conducting a one-way ANOVA test to compare multiple (more than 2) group means
simultaneously
instead of conducting a series of
t
tes
ts
to compare these means
,
the potential level of ____ is reduced
.
11.4. In order to appl
y
the ANOV A test
,
the data should be measured on a
(n)
_____
or
______
scale .
•
11.5. The one-way ANOV A is used when there is/are ____indepe
n
d
ent
variable(s).
11
.
6
.
With 3 groups
,
the null h
y
pothesis
(H
o
) in
ANOV
A
is
: __________.
11.7. The
total
(or
grand)
mean in ANOV A can be thought of as the mean o
f ____.
11.8. The SSw
(within
-
group
s
sum of squares) and the SSg
(betwee
n
-
groups
sum of squares) are equal to thesum of squares.
11.9. To find the MS
g
,
we divide the SSg by _________.
11.10. To compute the
F
ratio, we divide the ______ mean squar
e
b
y t
he
_________
mean square.
11.11
.
Factorial ANOVA is commonly used when there are at lea
s
t ______ independent variables.
Circle the
correct
answer:
11
.
12. The following is an example of a(n)
null/alternative
h
y
pothesi
s i
n
AN
O
VA:
Mean one does not equal mean 2 and/or mean one does not equal mean 2 and/or mean 2 does not equal mean 3
11.13
.
Post hoc comparisons should be conducted in cases
w
here the
F
ra
t
io
is/is not
statistically significant.
11
.
14
.
The
F
ratio is likely to be statistically significant when the differenc
es
be
tw
e
en
the group means are
small/large
.
.
11.15
.
The
F
ratio is more likely to be statistically significant when it is used
t
o
anal
y
ze scores from groups that are
homogenous/heterogeneous
in regar
d t
o the characteristic or behavior being measured.
11
.
16. An ANOVA procedure is used to analyze data from a study comparin
g
s
cores of three
groups
.
Following are the obtained mean squares and
t
he appropr
i
at
e
critical
values
for the
F
ratio at
p=.05
and
p=.01
F
crit
(.
05
,
2
,2
0)
= 3.49 and
F
c
r
i
t
(
.
O1,2
,
20)
= 5.85
Compute the
obtained F
ratio.
Determine whether the results are statistically significan
t
.
Report your conclusions.
1
1
.17. Three different age groups of consumers (ages 18-25
,
26-35
,
36
-45) in two
different regions of the country (Midwest
,
South) were sur
v
e
y
ed
a
b
out the
i
r
likelihood of buying a new product. Following are the means a
n
d
st
and
ard
deviations obtained by the three age groups in each of the two regions
:
Means
Standard Deviations
Ages
Ages
Ages
Ages
Ages
Age
s
Region
18-25
26-35
36-45
18-25
26-35
3
6
-45
Midwest
50.2
52.8
53.3
2.
5
3.1
2.
7
South
41.0
48.5
55.9
2.
7
3.
2
2.
8
Two
separate
one-way ANOVA procedures are conducte.
Exercise 26 photo.docxLesson 26 Exercise File 2.savQue.docx
Exercise 26 photo.docx
Lesson 26 Exercise File 2.sav
Question.docx
Page 1 of 6
SPSS Worksheet 3: (Two-Way ANOVA)
This worksheet was developed by Dr. Kurt Michael of Liberty University © 2015
Name:
Instructions:Lesson 26 Exercise File 2 is located at the end of the chapter under the heading Exercises in your Green and Salkind textbook. Complete the exercise and then complete the worksheet below by filling in the blanks and answering the questions.
Note: The two-way ANOVA looks at three null hypotheses at one time.
H01: There is no significant difference among the amount of time fathers play with their children with no disability, a physical disability, or an intellectual disability.
H02: There is no significant difference between the amount of time fathers play with their male or female children.
H03: There is no significant interaction among the amount of time fathers play with their male or female children with no disability, a physical disability, or an intellectual disability.
Assumptions
Outliers: Create a Box and Whisker plot for each group. Hint: Go to Graph > Legacy Dialog > Boxplot and use the Cluster function. See page 184 in the Salkind and Green textbook for more information on how to display results.
Insert Graph or Table Here
Fill in the blanks:
Group
Outliers (Item #)
Are there any outliers?
Male Typically
Male Physical
Male Mental
Female Typically
Female Physical
Female Mental
< Note: Remove any outliers from the dataset before continuing.>
Assumption of Normality: Run a normality test each group. Hint: Begin by going to Data > Split File > Organize output by groups (see lesson 15, p. 64), then run Analyze > Descriptive > Explore (see lesson 40, p. 327). Insert six Tests of Normality tables below:
Insert Graph or Table Here
Fill in the blanks:
Should you use a Shapiro-Wilks or Kolmogorov-Smirnov test? Why?
Answer:
Groups
Significance
Is the assumption of normality met?
Male Typically
Male Physical
Male Mental
Female Typically
Female Physical
Female Mental
Assumption of Equal Variance: Insert Levene's Test of Equality of Error Variancesa table(s) below. Hint: Begin by going to Data > Split File > RESET > then run the Analyze.
Insert Graph or Table Here
Fill in the blanks:
Significance
Is the assumption of equal variance met?
Results
Insert Tests of Between-Subjects Effects table(s) below:
Insert Graph or Table Here
Differences among disabilities
Fill in the blanks:
Results for Disability:
Value
d.f. between Groups
d.f. within Groups
F-statistic
F-critical (See Appendix C in Warner)
p- value
Partial Eta Squared
Is the F- statistic greater than F-critical?
Answer:
Is the p- value less than .05?
Answer:
Should you reject or fail to reject the null?
Answer:
What is the effect size small, medium, or large (See Table 5.2 in Warner, p. 208)?
Answer:
Should you run post hoc analysis?
Answer:
If so, between which groups do the differences exist?
...
Recommended
Answer SheetISDS 361BHW5YOUR FULL NAME Answer.docx
Answer Sheet ISDS 361B
HW5
YOUR FULL NAME:
Answer
Optional for Partial Credit
1.
[12 pts.]
Forecast for Saturday in week 6:
No. of Periods of Data Collected =
No. of Periods in Season =
MSE =
MAD =
MAPE =
LAD =
2.
[18 pts.]
a.
Forecast (exponential smoothing):
No. of Periods of Data Collected =
Smoothing Constant (alpha) =
Initial Forecast Value =
b.
Forecast (weighted MA):
MSE =
MAD =
MAPE =
LAD =
c.
I would recommend weighted MA (True/ False):
3.
[12 pts.]
Forecast for year 8:
MSE =
MAD =
MAPE =
LAD =
4.
[18 pts.]
Forecast for Summer Year 5:
No. of Periods of Data Collected =
No. of Periods in Season =
Coefficients:
Intercept =
Period =
1 =
2 =
Page 1 of 2
1) What is the critical F value for a sample of 7 observations in the numerator and 6 in the denominator? Use a two-tailed test and the 0.1 significance level. (Round your answer to 2 decimal places.)
F
2) Arbitron Media Research Inc. conducted a study of the iPod listening habits of men and women. One facet of the study involved the mean listening time. It was discovered that the mean listening time for men was 29 minutes per day. The standard deviation of the sample of the 10 men studied was 8 minutes per day. The mean listening time for the 12 women studied was also 29 minutes, but the standard deviation of the sample was 15 minutes. At the .10 significance level, can we conclude that there is a difference in the variation in the listening times for men and women? (Round your answer to 3 decimal places.)
The test statistic is . Decision
3) The following is sample information. Test the hypothesis that the treatment means are equal. Use the 0.01 significance level.
Treatment 1
Treatment 2
Treatment 3
7
4
4
4
5
7
6
5
6
6
4
5
(a)
State the null hypothesis and the alternate hypothesis.
H0
H1
(b)
What is the decision rule? (Round your answer to 2 decimal places.)
H0 if the test statistic is greater than .
(c&d)
Compute SST, SSE, and SS total and complete an ANOVA table. (Round SS, MS and F values to 3 decimal places.)
Source
SS
df
MS
F
Treatments
Error
Total
(e)
State your decision regarding the null hypothesis.
H0
4) A senior accounting major at Midsouth State University has job offers from four CPA firms. To explore the offers further, she asked a sample of recent trainees how many months each worked for the firm before receiving a raise in salary. The sample information is submitted to MINITAB with the following results:
Analysis of Variance
Source
DF
SS
MS
F
Factor
5
36.39
7.28
1.92
Error
12
45.54
3.80
Total
17
81.93
Reject if F > . (Round your answer to 2 .
PSY520 – Module 6Answer SheetSubmit your answers in the boxe.docx
PSY520 – Module 6
Answer Sheet
Submit your answers in the boxes provided. No credit will be given for responses not found in the correct answer area.
Chapter 16:
16.9 Given the aggression scores below for Outcome A of the sleep deprivation experiment, verify that, as suggested earlier, these mean differences shouldn’t be taken seriously by testing the null hypothesis at the .05 level of significance. Use the computation formulas for the various sums of squares and summarize results with an ANOVA table.
Hours of Sleep Deprivation
Zero
Twenty-Four
Forty-Eight
3
4
2
5
8
4
7
6
6
Group Mean:
5
6
4
Grand Mean: 5
Question:
Steps:
Calculations or Logic:
Answer:
Use the computation formulas for the various sums of squares and summarize results with an ANOVA table.
What is the research hypothesis?
What is the null hypothesis?
What are the degrees of freedom?
What is the calculated ?
What is the calculated ?
What is the calculated ?
What is the calculated ?
What is the calculated ?
What is the F?
Complete the ANOVA table:
Source
SS
df
MS
F Ratio
Treatment (between)
Error (within)
Total
16.10 Another psychologist conducts a sleep deprivation experiment. For reasons beyond his control, unequal numbers of subjects occupy the different groups. (Therefore, when calculating in SS between and SS within , you must adjust the denominator term, n , to reflect the unequal numbers of subjects in the group totals.)
Hours of Sleep Deprivation
Zero
Twenty-Four
Forty-Eight
1
4
7
3
7
12
6
5
10
2
9
1
Summarize the results with an ANOVA table. You need not do a step-by-step hypothesis test procedure:
Source
SS
df
MS
F
Treatment (between)
Error (within)
Total
If hand calculating, include formulas and calculations below. If using SPSS, include a picture, screenshot, or cut/paste of the output below.
Question:
Calculations or Logic:
Answer:
Are the results statistically significant? Yes or no?
If appropriate, estimate the effect size with η2
If appropriate, use Tukey’s HSD test (with for the sample size, n) to identify pairs of means that contribute to the significant F, given that , and
What is the HSD?
Which pairs are significant at the .05 level?
If appropriate, estimate effect sizes with Cohen’s d.
Indicate how all of the above results would be reported in the literature, given sample standard deviations of s0= 2.07, s24 =1.53, and s48=2.08.
16.12 For some experiment, imagine four possible outcomes, as described in the following ANOVA table.
A.
Source
SS
df
MS
F
Between
900
3
300
3
Within
8000
80
100
Total
8900
83
B.
Source
SS
df
MS
F
Between
1500
3
500
5
Within
8000
80
100
Total
9500
83
C.
Source
SS
df
MS
F
Between
300
3
100
1
Within
8000
80
100
Total
8300
83
D.
Source
SS
df
MS
F
Between
300
3
100
1
Within
400
4
100
Total
700
7
Question:
Calculations or Logic:
Answer:
How many groups are in Outcome D?
Assuming groups of equal size, what’s t ...
test_using_one-way_analysis_of_varianceANOVA_063847.pptx
A ppt about testing hypothesis using one way ANOVA
11.1. While a t test is used to compare two means, the o.docx
11.1. While a
t
test is used to compare
two
means
,
the one
-
way ANOV
A
c
a
n be used to simultaneously compare ____ groups.
11.2. An ANOV A is considered to be an extension of the
t
test
f
o
r
independent samples because both investigate differences bet
w
een ______.
11.3. By conducting a one-way ANOVA test to compare multiple (more than 2) group means
simultaneously
instead of conducting a series of
t
tes
ts
to compare these means
,
the potential level of ____ is reduced
.
11.4. In order to appl
y
the ANOV A test
,
the data should be measured on a
(n)
_____
or
______
scale .
•
11.5. The one-way ANOV A is used when there is/are ____indepe
n
d
ent
variable(s).
11
.
6
.
With 3 groups
,
the null h
y
pothesis
(H
o
) in
ANOV
A
is
: __________.
11.7. The
total
(or
grand)
mean in ANOV A can be thought of as the mean o
f ____.
11.8. The SSw
(within
-
group
s
sum of squares) and the SSg
(betwee
n
-
groups
sum of squares) are equal to thesum of squares.
11.9. To find the MS
g
,
we divide the SSg by _________.
11.10. To compute the
F
ratio, we divide the ______ mean squar
e
b
y t
he
_________
mean square.
11.11
.
Factorial ANOVA is commonly used when there are at lea
s
t ______ independent variables.
Circle the
correct
answer:
11
.
12. The following is an example of a(n)
null/alternative
h
y
pothesi
s i
n
AN
O
VA:
Mean one does not equal mean 2 and/or mean one does not equal mean 2 and/or mean 2 does not equal mean 3
11.13
.
Post hoc comparisons should be conducted in cases
w
here the
F
ra
t
io
is/is not
statistically significant.
11
.
14
.
The
F
ratio is likely to be statistically significant when the differenc
es
be
tw
e
en
the group means are
small/large
.
.
11.15
.
The
F
ratio is more likely to be statistically significant when it is used
t
o
anal
y
ze scores from groups that are
homogenous/heterogeneous
in regar
d t
o the characteristic or behavior being measured.
11
.
16. An ANOVA procedure is used to analyze data from a study comparin
g
s
cores of three
groups
.
Following are the obtained mean squares and
t
he appropr
i
at
e
critical
values
for the
F
ratio at
p=.05
and
p=.01
F
crit
(.
05
,
2
,2
0)
= 3.49 and
F
c
r
i
t
(
.
O1,2
,
20)
= 5.85
Compute the
obtained F
ratio.
Determine whether the results are statistically significan
t
.
Report your conclusions.
1
1
.17. Three different age groups of consumers (ages 18-25
,
26-35
,
36
-45) in two
different regions of the country (Midwest
,
South) were sur
v
e
y
ed
a
b
out the
i
r
likelihood of buying a new product. Following are the means a
n
d
st
and
ard
deviations obtained by the three age groups in each of the two regions
:
Means
Standard Deviations
Ages
Ages
Ages
Ages
Ages
Age
s
Region
18-25
26-35
36-45
18-25
26-35
3
6
-45
Midwest
50.2
52.8
53.3
2.
5
3.1
2.
7
South
41.0
48.5
55.9
2.
7
3.
2
2.
8
Two
separate
one-way ANOVA procedures are conducte.
Exercise 26 photo.docxLesson 26 Exercise File 2.savQue.docx
Exercise 26 photo.docx
Lesson 26 Exercise File 2.sav
Question.docx
Page 1 of 6
SPSS Worksheet 3: (Two-Way ANOVA)
This worksheet was developed by Dr. Kurt Michael of Liberty University © 2015
Name:
Instructions:Lesson 26 Exercise File 2 is located at the end of the chapter under the heading Exercises in your Green and Salkind textbook. Complete the exercise and then complete the worksheet below by filling in the blanks and answering the questions.
Note: The two-way ANOVA looks at three null hypotheses at one time.
H01: There is no significant difference among the amount of time fathers play with their children with no disability, a physical disability, or an intellectual disability.
H02: There is no significant difference between the amount of time fathers play with their male or female children.
H03: There is no significant interaction among the amount of time fathers play with their male or female children with no disability, a physical disability, or an intellectual disability.
Assumptions
Outliers: Create a Box and Whisker plot for each group. Hint: Go to Graph > Legacy Dialog > Boxplot and use the Cluster function. See page 184 in the Salkind and Green textbook for more information on how to display results.
Insert Graph or Table Here
Fill in the blanks:
Group
Outliers (Item #)
Are there any outliers?
Male Typically
Male Physical
Male Mental
Female Typically
Female Physical
Female Mental
< Note: Remove any outliers from the dataset before continuing.>
Assumption of Normality: Run a normality test each group. Hint: Begin by going to Data > Split File > Organize output by groups (see lesson 15, p. 64), then run Analyze > Descriptive > Explore (see lesson 40, p. 327). Insert six Tests of Normality tables below:
Insert Graph or Table Here
Fill in the blanks:
Should you use a Shapiro-Wilks or Kolmogorov-Smirnov test? Why?
Answer:
Groups
Significance
Is the assumption of normality met?
Male Typically
Male Physical
Male Mental
Female Typically
Female Physical
Female Mental
Assumption of Equal Variance: Insert Levene's Test of Equality of Error Variancesa table(s) below. Hint: Begin by going to Data > Split File > RESET > then run the Analyze.
Insert Graph or Table Here
Fill in the blanks:
Significance
Is the assumption of equal variance met?
Results
Insert Tests of Between-Subjects Effects table(s) below:
Insert Graph or Table Here
Differences among disabilities
Fill in the blanks:
Results for Disability:
Value
d.f. between Groups
d.f. within Groups
F-statistic
F-critical (See Appendix C in Warner)
p- value
Partial Eta Squared
Is the F- statistic greater than F-critical?
Answer:
Is the p- value less than .05?
Answer:
Should you reject or fail to reject the null?
Answer:
What is the effect size small, medium, or large (See Table 5.2 in Warner, p. 208)?
Answer:
Should you run post hoc analysis?
Answer:
If so, between which groups do the differences exist?
...
Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Follo.docx
Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Following ANOVA
Analysis of variance (ANOVA)
is a statistical procedure that compares data between two or more groups or conditions to investigate the presence of differences between those groups on some continuous dependent variable (see
Exercise 18
). In this exercise, we will focus on the
one-way ANOVA
, which involves testing one independent variable and one dependent variable (as opposed to other types of ANOVAs, such as factorial ANOVAs that incorporate multiple independent variables).
Why ANOVA and not a
t
-test? Remember that a
t
-test is formulated to compare two sets of data or two groups at one time (see
Exercise 23
for guidance on selecting appropriate statistics). Thus, data generated from a clinical trial that involves four experimental groups, Treatment 1, Treatment 2, Treatments 1 and 2 combined, and a Control, would require 6
t
-tests. Consequently, the chance of making a Type I error (alpha error) increases substantially (or is inflated) because so many computations are being performed. Specifically, the chance of making a Type I error is the number of comparisons multiplied by the alpha level. Thus, ANOVA is the recommended statistical technique for examining differences between more than two groups (
Zar, 2010
).
ANOVA is a procedure that culminates in a statistic called the
F
statistic. It is this value that is compared against an
F
distribution (see
Appendix C
) in order to determine whether the groups significantly differ from one another on the dependent variable. The formulas for ANOVA actually compute two estimates of variance: One estimate represents differences between the groups/conditions, and the other estimate represents differences among (within) the data.
Research Designs Appropriate for the One-Way ANOVA
Research designs that may utilize the one-way ANOVA include the randomized experimental, quasi-experimental, and comparative designs (
Gliner, Morgan, & Leech, 2009
). The independent variable (the “grouping” variable for the ANOVA) may be active or attributional. An active independent variable refers to an intervention, treatment, or program. An attributional independent variable refers to a characteristic of the participant, such as gender, diagnosis, or ethnicity. The ANOVA can compare two groups or more. In the case of a two-group design, the researcher can either select an independent samples
t
-test or a one-way ANOVA to answer the research question. The results will always yield the same conclusion, regardless of which test is computed; however, when examining differences between more than two groups, the one-way ANOVA is the preferred statistical test.
Example 1: A researcher conducts a randomized experimental study wherein she randomizes participants to receive a high-dosage weight loss pill, a low-dosage weight loss pill, or a placebo. She assesses the number of pounds lost from baseline to post-treatment
378
for the thre ...
QNT Weekly learning assessments - Questions and Answers | UOP E Assignments
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1. A law firm wants to determine the trend in its annual billings .docx
1. A law firm wants to determine the trend in its annual billings so that it can better forecast revenues. It plots the data on its billings for the past 10 years and finds that the scatter plot appears to be linear. What formula should they use to determine the trend line?
σ = ∑√(x - μ)2 ÷ N
F = s12 ÷ s22
t = (x̄ - μx-bar) ÷ s/√n
Tt = b0 + b1t
3 points
QUESTION 2
1. A set of subjects, usually randomly sampled, selected to participate in a research study is called:
Population
Sample
Mode group
Partial selection
3 points
QUESTION 3
1. If a researcher accepts a null hypothesis when that hypothesis is actually true, she has committed:
a type I error
a type II error
no error
a causation
3 points
QUESTION 4
1. A binomial probability distribution is a discrete distribution (i.e., the x-variable is discrete).
True
False
3 points
QUESTION 5
1. The tdistribution is wider and flatter (i.e., has more variation) than the normal distribution.
True
False
3 points
QUESTION 6
1. A physician wants to estimate the average amount of time that patients spend in his waiting room. He asks his receptionist to record the waiting times for 28 of his patients and finds that the sample mean (x̄) is 37 minutes and the sample standard deviation (s) is 12 minutes. What formula would you use to construct the 95% confidence interval for the population mean of waiting times?
t = (x̄ - μx-bar) ÷ s/√n
µ = ∑ x ÷ N
x̄ - t(s ÷ √n) < µ < x̄ + t(s ÷ √n)
z = (x - µ) ÷ σ
3 points
QUESTION 7
1. When the alternative hypothesis states that the difference between two groups can only be in one direction, we call this a:
One-tailed test
Bi-directional test
Two-tailed test
Non-parametric test
3 points
QUESTION 8
1. For any probability distribution, the probability of any x-value occurring within any given range is equal to the area under the distribution and above that range.
True
False
3 points
QUESTION 9
1. The formula for ____________ is (Row total X Column total)/T
Observed frequencies
Degrees of freedom
Expected frequencies
Sampling error
3 points
QUESTION 10
1. State Senator Hanna Rowe has ordered an investigation of the large number of boating accidents that have occurred in the state in recent summers. Acting on her instructions, her aide, Geoff Spencer, has randomly selected 9 summer months within the last few years and has compiled data on the number of boating accidents that occurred during each of these months. The mean number of boating accidents to occur in these 9 months was 31 (x̄), and the standard deviation (s) in this sample was 9 boating accidents per month. Geoff was told to construct a 90% confidence interval for the true mean number of boating accidents per month. What formula should Geoff use?
x̄ - t(s ÷ √n) < µ < x̄ + t(s ÷ √n)
F = s12 ÷ s22
z = (x - µ) ÷ σ
x̄ - z(σ ÷ √n) < µ < x̄ + z(σ ÷ √n)
.
PSYC 317 – Spring 2015 Exam 3Answer the questions below to th.docx
PSYC 317 – Spring 2015: Exam 3
Answer the questions below to the best of your ability. Partial credit will be awarded where possible. You MUST SHOW YOUR WORK for full credit for calculation problems.
Completion (37 points)
Complete each sentence or statement.
1. For a one-way Analysis of Variance, if the variance between groups is due only to chance we expect our F-test statistic to be equal to ________ (1 point).
2. A 2x4 factorial ANOVA analyzes _____ independent variable(s) (1 point).
3. If repeated administrations of a test to the same individual leads to identical scores on the test, we say that the test is _________________, however if a test accurately measures the intended psychological construct, we say that a test is _________________ (2 points).
4. One needs to use a __________________ test after an ANOVA only if it is significant (1 point).
5. The SS-within will never be _________________ (greater or smaller) than the SS-error (1 point).
6. Main effects test for differences among ______________ means, whereas the interaction tests for leftover differences among the _________________ means (2 points).
7. A correlation between a dichotomous (2 category) variable and a continuous variable is called a _______________________ correlation, whereas a correlation between two continuous variables is called a ___________________ correlation (2 points).
8. In regression, ________________ represents the predicted change in Y when X is increased one point/unit (1 point).
9. For regression, the ___________________ reflects the typical deviation between a predicted Y and actual Y (1 point).
10. Complete the following ANOVA table for a one-way design with 5 different treatment conditions with n = 12 people in each condition. (8 points)
Source
SS
df
MS
F
p
Between Groups
10
Within Groups
Total
150
11. Complete the following ANOVA table for a factorial design. Dr. Sousa wanted to see if gender and/or dog ownership influences the number of digital songs a person own. He found out how many digital songs each person owned (the DV). He also recorded their gender (either male or female) and whether they owned a dog (yes or no). n = 10 for each condition (17 points)
#Source
SS
df
MS
F
p
Between treatments
24
Gender
Dog Ownership
12
4
Gender x Dog
4
Within
3
Total
Short Answer (19 points)
Choose one of the following two short answer problems.
1. Describe at least two of the commonly used applications/purposes for which researchers use correlations (2 points).
2. Describe briefly two situations when one would use a Spearman correlation instead of a Pearson correlation. (2 points)
Choose one of the following two short answer problems.
3. Describe the two stages for computing a repeated-measures ANOVA by hand. (2 points)
4. Describe at least two advantages to using an ANOVA or Factorial ANOVA to analyze your data rather than multiple t tests ...
One-Way ANOVA
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Chapter 12: Analysis of Variance
12.1: One-Way ANOVA
Week 5 HomeworkHomework #1Ms. Lisa Monnin is the budget dire.docx
Week 5 Homework
Homework #1
Ms. Lisa Monnin is the budget director for Nexus Media Inc. She would like to compare the daily travel expenses for the sales staff and the audit staff. She collected the following sample information.
Sales ($)
129
137
142
162
137
145
Audit ($)
128
98
128
140
148
110
132
At the 0.1 significance level, can she conclude that the mean daily expenses are greater for the sales staff than the audit staff?
(a)
State the decision rule. (Round your answer to 3 decimal places.)
Reject H0 if t >
(b)
Compute the pooled estimate of the population variance. (Round your answer to 2 decimal places.)
Pooled variance
(c)
Compute the test statistic. (Round your answer to 3 decimal places.)
Value of the test statistic
(d)
State your decision about the null hypothesis.
H0 : μs ≤ μa
(e)
Estimate the p-value. (Round your answers to 3 decimal places.)
p-value
Homework #2
Suppose you are an expert on the fashion industry and wish to gather information to compare the amount earned per month by models featuring Liz Claiborne attire with those of Calvin Klein. Assume the population standard deviations are not the same. The following is the amount ($000) earned per month by a sample of Claiborne models:
$5.4
$4.3
$3.7
$6.7
$4.9
$5.9
$3.1
$5.2
$4.7
$3.5
5.8
4
3.1
5.6
6.9
The following is the amount ($000) earned by a sample of Klein models.
$2.5
$2.6
$3.5
$3.4
$2.8
$3.1
$4
$2.5
$2
$2.9
2.7
2.3
(1)
Find the degrees of freedom for unequal variance test. (Round down your answer to the nearest whole number.)
Degrees of freedom
(2)
State the decision rule for 0.01 significance level: H0: μLC ≤ μCK; H1: μLC > μCK. (Round your answer to 3 decimal places.)
Reject H0 if t>
(3)
Compute the value of the test statistic. (Round your answer to 3 decimal places.)
Value of the test statistic
(4)
Is it reasonable to conclude that Claiborne models earn more? Use the 0.01 significance level.
H0. It is to conclude that Claiborne models earn more.
Homework #3
A recent study focused on the number of times men and women who live alone buy take-out dinner in a month. The information is summarized below.
Statistic
Men
Women
Sample mean
23.82
21.38
Population standard deviation
5.91
4.87
Sample size
34
36
At the .01 significance level, is there a difference in the mean number of times men and women order take-out dinners in a month?
(a)
Compute the value of the test statistic. (Round your answer to 2 decimal places.)
Value of the test statistic
(b)
What is your decision regarding on null hypothesis?
The decision is the null hypothesis that the means are the same.
(c)
What is the p-value? (Round your answer to 4 decimal places.)
p-value
rev: 04_04_2012, 04_25_2014_QC_48145
Homework #4
Suppose the manufacturer of Advil, a common headache remedy, recently developed a new formulation of the drug that is claimed to be more effective. To evaluate the new drug, a s.
Directions The purpose of Project 8 is to prepare you for the final.docx
Directions: The purpose of Project 8 is to prepare you for the final, comprehensive exam and is set up EXACTLY the same. Questions 1 and 2 are not graded in this exercise, but are on the final. Be sure to answer them still so you can receive feedback. Once done with these, move into the calculation questions.
Be advised that you will need to decide which type of test to use in most of the problems. Please write out all pertinent information for each of the 4 steps of hypothesis testing. For the calculations, you only need to provide the values of all statistics for that test. There is no need to show work.
List the four Steps of the Hypothesis test:
Step 1 –
Step 2 –
Step 3 –
Step 4 –
This semester we have discussed the following statistical analyses.
Z-test
One-Sample
t
-test
Independent Groups
t
-test
Repeated Measures
t
-test
One-Way ANOVA
Repeated Measures ANOVA
Correlation
When do you use them? Please type your answer in the Test Used column.
ơ is given
µ is given
Groups Compared
Test Used
No
No
Looks at the same group at 2 different times or across two different conditions
Yes
Yes
Sample against population
Examines the degree to which two variables relate to one another
No
No
Looks at the same group at 2 or more times or across 2 or more conditions
No
No
Examines mean differences between two different groups
No
Yes
Sample against population
No
No
Examines mean differences between 2 or more groups
1. A researcher for a cereal company wanted to demonstrate the health benefits of eating oatmeal. A sample of 9 volunteers was obtained and each participant ate a fixed diet without any oatmeal for 30 days. At the end of the 30-day period, cholesterol was measured for each individual. Then the participants began a second 30-day period in which they repeated exactly the same diet except that they added 2 cups of oatmeal each day. After the second 30-day period, cholesterol levels were measured again and the researcher recorded the difference between the two scores for each participant. For this sample, cholesterol scores average M = 16 points lower with the oatmeal diet with SS = 538 for the difference scores.
10 points
·
Are the data sufficient to indicate a significant change in cholesterol level? Use a two-tailed test with α = .01.
·
Compute r
2
to measure the size of the treatment effect.
2. One possible explanation for why some birds migrate and others maintain year round residency in a single location is intelligence. Specifically, birds with smaller brain, relative to their body size, are not simply smart enough to find food during the winter and must migrate to warmer climates where food is easily available. Birds with bigger brains, on the other hand, are more creative and can find food even when the weather turns harsh. Following are hypothetical data similar to the actual results. The numbers represent relative brain size for the individual birds in each sample.
10 points
Non-Migrating
S.
8.5 End-of-Chapter Practice Problems1. Suppose that you wa.docx
8.5 End-of-Chapter Practice Problems
1. Suppose that you wanted to study the trend in hospital births per year over the
past 10 years for four hospitals under your organization’s management: A, B, C,
and D. Suppose, further, that you have collected the data presented in Fig. 8.6.
You have been asked to analyze the data to determine if there was any significant
difference in the number of births per year between the four hospitals over the
past decade.
(a) Enter these data on an Excel spreadsheet.
(b) Perform a one-way ANOVA test on these data, and show the resulting
ANOVA table underneath the input data for the four hospitals.
(c) If the F-value in the ANOVA table is significant, create an Excel formula to
compute the ANOVA t-test comparing the average for HOSPITAL A against
HOSPITAL D and show the results below the ANOVA table on the
Fig. 8.6 Worksheet Data
for Chap. 8: Practice
Problem #1
spreadsheet (put the standard error and the ANOVA t-test value on separate
lines of your spreadsheet, and use two decimal places for each value)
(d) Print out the resulting spreadsheet so that all of the information fits onto one
page
(e) Save the spreadsheet as: BIRTHS3
Now, write the answers to the following questions using your Excel printout:
1. What are the null hypothesis and the research hypothesis for the ANOVA
F-test?
2. What is MSb on your Excel printout?
3. What is MSw on your Excel printout?
4. Compute F ¼ MSb/MSw using your calculator.
5. What is the critical value of F on your Excel printout?
6. What is the result of the ANOVA F-test?
7. What is the conclusion of the ANOVA F-test in plain English?
8. If the ANOVA F-test produced a significant difference between the four
hospitals in births per year, what is the null hypothesis and the research
hypothesis for the ANOVA t-test comparing HOSPITAL A versus HOSPI-
TAL D?
9. What is the mean (average) for HOSPITAL A on your Excel printout?
10. What is the mean (average) for HOSPITAL D on your Excel printout?
11. What are the degrees of freedom (df) for the ANOVA t-test comparing
HOSPITAL A versus HOSPITAL D?
12. What is the critical t value for this ANOVA t-test in Appendix E for these
degrees of freedom?
13. Compute the s.e.ANOVA using your calculator.
14. Compute the ANOVA t-test value comparing HOSPITAL A versus HOS-
PITAL D using your calculator.
15. What is the result of the ANOVA t-test comparing HOSPITAL A versus
HOSPITAL D?
16. What is the conclusion of the ANOVA t-test comparing HOSPITAL A
versus HOSPITAL D in plain English?
Note: Since there are four hospitals and they comprise six pairs of hospitals
between them, you need to do six ANOVA t-tests to determine what the
significant differences are between the four hospitals in births per year.
Since you have just completed the ANOVA t-test comparing HOSPITAL A
versus HOSPITAL D, you would also need to do the ANOVA t-test
comparing:
HOSPITAL A versus HOSPITAL B
HOSPITAL A versus HOSPITAL C
HOS ...
Chapter 18 – Pricing Setting in the Business WorldThere are few .docx
Chapter 18 – Pricing Setting in the Business World
There are few Methods for setting pricing – costs methods vs demand methods
Formulas considering costs and mark up will help you to do the Problem set assignment:
1. Markup for setting prices (Mark up $ = SP-CP); MARK UP % = (MU $/SP) X100)
Formula for setting price with the markup method
SP = Cost/(1- Markup %)
Example - retailer buys A hat for $15 and wants a 40% markup, his selling price would be….
SP = 15/(1-.40)=.60
= $25.00
2. Understand Role of different costs – fixed, variable, total costs and average costs
3. What is the breakeven point? Formula for calculating the Break Even point.
BE = Total Fixed Cost/Fixed cost contribution
Fixed Cost Contribution=Price – variable cost
4. Average Cost = when there are many flavors/types of the same product, producer determines average cost and then add the mark up to set a common selling price.
.ANOVA
Analysis of Variance is a method of testing the equality of three or more population
means by analyzing sample variance.
One-Way ANOVA
The one-way ANOVA is used to compare three or more population means when there is
one factor of interest.
Requirements
The populations have distributions that are approximately normal.
The populations have the same variance.
The samples are simple random samples of quantitative data.
The samples are independent of each other.
The different samples are from populations that are categorized in only one.
way
One-Way ANOVA is a hypothesis test. There are seven steps for a hypothesis test.
Example
A professor at a local University believes there is a relationship between head size and
the major of the students in her biostatistics classes. She takes a random sample of 20
students from each of three classes and records their major and head circumference.
The data are shown in the following table.
Step 1: State the null hypothesis.
Mean 1 equals mean 2 equals mean 3 equals mean 4.
Step 2: State the Alternative hypothesis.
At least one mean is different.
Step 3: State the Level of Significance.
The level of significance is 0.05.
Step 4: State the test statistic.
variance between samples
variance within samples
F
The test statistic follows the F distribution which has two degrees of freedom, one for
the numerator and one for the denominator.
The calculations for the test statistic are complicated, so a software program is
generally used for the calculations. We will be using Microsoft Excel for this example.
Step 5: Calculate
The calculations are done in Microsoft Excel using the data analysis toolpak. Enter the
data into the spread sheet as shown here. Click on data and the data analysis tookpak
button is on the right.
When you click on the button a dialogue box appears.
Choose ANOVA One Factor. Then another dialogue box appears.
Input range is where the data is in the table. Be sure to put a check in the box for labels
in.
HomeworkPartnership Tax Year and Limited Liability Partnerships.docx
Homework
Partnership Tax Year and Limited Liability Partnerships
Please respond to the following:
--The IRC restricts the choices for a partnership‘s tax year to prevent the deferral of tax. This causes most partnerships to adopt a calendar year for tax reporting. From the e-Activity, create a scenario using a fiscal tax year which allows a partnership to defer taxes that meet the requirements of Sections 706 and 444 of the IRC.
--As discussed in the text, large accounting firms and other professional firms operate as limited liability partnerships (LLPs). Contrast the LLP form of business under state laws to the LLP for tax purposes. Next, suggest the major reasons why a new entity would choose an LLP over a traditional partnership for tax purposes. [350 words -- 1-2 references]
ANOVA
Instead of looking at the difference between population means, ANOVA (analysis of variance) calculates the variance between population means
ANOVA
Sample pop. 1
Sample pop. 2
Sample pop. 3
H0: μ1 = μ2 = μ3
ANOVA
Calculating ANOVA is different than calculating t-tests
How much sampling error do we expect under H0? (i.e., how much should our sample(s) vary just by chance?)
How do we calculate the equivalent of the standard error?
t-tests
Observed difference in sample means
Expected difference in pop. means
ANOVA
Observed variance in sample means
Expected variance in pop. means
ANOVA
Rock
Country
Classical
Mclassical
16.4
Mrock
6.0
Mcountry
10.8
Moverall
11.07
Under H0, all of these scores come from the same H0 distribution with M = 11.07. Based on the spread of each group, does that seem likely?
Under H0, all of these scores come from the same H0 distribution with M = 11.07. Based on the spread of each set, does that seem likely?
3
Y-Values 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 14 8 1 3 4 5 7 11 13 18 7 16 17 20 22
Score
ANOVA
Rock
Country
Classical
Mclassical
16.4
Mrock
6.0
Mcountry
10.8
Under H0, all of these scores come from the same H0 distribution with M = 11.07. Based on the spread of each group, does that seem likely?
Moverall
11.07
Under H0, all of these scores come from the same H0 distribution with M = 11.07. Based on the spread of each set, does that seem likely?
4
Y-Values 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 2 3 7 8 10 6 10 11 12 15 13 14 15 19 21
Score
ANOVA
Rock
Country
Classical
Mclassical
16.4
Mrock
6.0
Mcountry
10.8
Under H0, all of these scores come from the same H0 distribution with M = 11.07. Based on the spread of each group, does that seem likely?
Moverall
11.07
Under H0, all of these scores come from the same H0 distribution with M = 11.07. Based on the spread of each set, does that seem likely?
5
Y-Values 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 4 5 6 7 8 8.8000000000000007 9.8000000000000007 10.8 11.8 12.8 14.4 15.4 16.399999999999999 17.399999999999999 18.399999999999999
Score
ANOVA
The amount of variation within each group contributes to the expected variance in population means
Steps of hypothesis testing.
Analysis of variance (ANOVA)
ANOVA is very important statistical tool for analysis of data in specific case.
Use the SPSS software and the data set (2004)GSS.SAV (attached).docx
Use the SPSS software and the data set:
(2004)GSS.SAV (attached)
recode the variable for political party identification (PARTYID) into a NEW variable that uses the following old values to create the following new
categories:
Data set:
2004gssnew-6.sav
binge1-2.sav
1 thru 2 = 1= Democrat
3 thru 5 = 2 = Independent
6 thru 7 = 3 = Republican
8 = 4 = Other
(Answer the following questions; use the (new) recoded variable with a variable premarsx and compare them- crosstab)
Note:
Variable PREMARSX will be a dependent variable (place it in the row), variable NEW PARTID will be an independent variable (place it in the column).
Remember to request column percentages.
Show your work (attach all tables).
1. Of all the respondents who are
Republicans
, what
percentage
believes that premarital sex is always wrong?
________________________________________________
2. Of all the respondents who are
Democrats
, what
percentage
believes that premarital sex in
not
wrong at all?
_________________________________________________
3. Of all the people who are
Independents
, what
percentage
believes that premarital sex is always wrong or almost always wrong?
________________________________________________________
4.
Seven detention centers are surveyed. The current number of inmates in each detention center is 30, 11, 22, 15, 5, 42, and 99. What is the median number of inmates?
Answer: _________________________
5. When do we use a Chi square?
_______________________________________________
6. Participants in a research study have been classified as lower, middle, or upper class in terms of their socioeconomic status. We can say that the variable of social class has been measured at the ____________________ level of measurement.
7. A distribution has 14 scores. Each score is represented only once in the distribution, with two exceptions. The score of 72, appears three times, and the score of 48 appears four times.
What is the mode of the distribution?
8. Assume that the mean of a distribution of test scores is 40 and the standard deviation is 10. You have been told that your test score
is one standard deviation above the mean.
What is your test score?
9. Assume that the mean of a distribution of test scores is 60, with a standard deviation of 20. What would be the value of the score that
falls two standard deviations below the mean?
10. What menu across the top of the SPSS data editor window will let you access the FREQUENCIES command?
(a)
Analyze
(d)
Summarize
(b)
Data
(e)
Window
(c)
Transform
Answer: ___________________________
11. Briefly explain the difference between
percent
and
valid percent
in a frequency table.
12. In a survey instrument, a question asks “In a typical week, how often do you exercise enough to raise your heart rate?”
The response categories are never; 1 time per week; 2 times per w.
In the t test for independent groups, ____.we estimate µ1 µ2.docx
In the t test for independent groups, ____.
we estimate µ1 µ2
we estimate 2
we estimate X1-X2
df = N 1
Exhibit 14-1
A professor of women's studies is interested in determining if stress affects the menstrual cycle. Ten women are randomly sampled for an experiment and randomly divided into two groups. One of the groups is subjected to high stress for two months while the other lives in a relatively stress-free environment. The professor measures the menstrual cycle (in days) of each woman during the second month. The following data are obtained.
High stress
20
23
18
19
22
Relatively stress free
26
31
25
26
30
Refer to Exhibit 14-1. The obtained value of the appropriate statistic is ____.
tobt = 4.73
tobt = 4.71
tobt = 3.05
tobt = 0.47
Refer to Exhibit 14-1. The df for determining tcrit are ____.
4
9
8
3
Refer to Exhibit 14-1. Using = .052 tail, tcrit = ____.
+2.162
+2.506
±2.462
±2.306
Refer to Exhibit 14-1. Using = .052 tail, your conclusion is ____.
accept H0; stress does not affect the menstrual cycle
retain H0; we cannot conclude that stress affects the menstrual cycle
retain H0; stress affects the menstrual cycle
reject H0; stress affects the menstrual cycle
Refer to Exhibit 14-1. Estimate the size of the effect. = ____
0.8102
0.6810
0.4322
0.5776
A major advantage to using a two condition experiment (e.g. control and experimental groups) is ____.
the test has more power
the data are easier to analyze
the experiment does not need to know population parameters
the test has less power
Which of the following tests analyzes the difference between the means of two independent samples?
correlated t test
t test for independent groups
sign test
test of variance
If n1 = n2 and n is relatively large, then the t test is relatively robust against ____.
violations of the assumptions of homogeneity of variance and normality
violations of random samples
traffic violations
violations by the forces of evil
Exhibit 14-3
Five students were tested before and after taking a class to improve their study habits. They were given articles to read which contained a known number of facts in each story. After the story each student listed as many facts as he/she could recall. The following data was recorded.
Before
10
12
14
16
12
After
15
14
17
17
20
Refer to Exhibit 14-3. The obtained value of the appropriate statistic is ____.
3.92
3.06
4.12
2.58
Refer to Exhibit 14-3. What do you conclude using = 0.052 tail?
reject H0; the class appeared to improve study habits
retain H0; the class had no effect on study habits
retain H0; we cannot conclude that the class improved study habits
accept H0; the class appeared to improve study habits
Which of the following is (are) assumption(s) underlying the use of the F test?
the raw score populations are normally distributed
the variances of the raw score populations are the same
the mean of the populations differ
the raw score popul.
For this Portfolio Project, you will write a paper about John A.docx
For this Portfolio Project, you will write a paper about "John Adams" as well as any event in U.S. history that is relevant to your major area of study or of interest to you. You will write about John Adams from the perspective of another historical personality who lived at the same time as the person or event you are going to describe.
For your historical personality, try to select someone from an under-represented population (examples of possible perspectives include that of Anne Hutchinson, Pocahontas, or Sojourner Truth). This analysis is to make you think about how events/people’s actions were interpreted at the time.
Key Points::
Remember that you will be writing from the perspective of a historical person about another person or an event from a period of U.S. history up to Reconstruction. From your historical person’s perspective, provide a thorough summary of the person or event you’ve chosen to write about, including the incidents that took place and any key individuals involved or affected.
Address the general importance of the person or event in the context of U.S. history.
Now, explain specifically how the person or event changed “your” daily life—“you” being the historical persona you have adopted.
Think long-term: How will the person or the event you are describing make a long-term impact in the lives of people who are in the under-represented group to which your historical person/perspective belongs?
Paper Requirements:
Your paper must be four to six pages, not including the required references and title pages.
Use at least five sources, not including the textbook. Include a scholarly journal article. Include at least one
primary
source from those identified in the syllabus.
Definition of a Primary Source
: A primary source is any source, document or artifact that was created at the time of the event. It was usually created by someone who witnessed the event, lived during or even shortly afterwards, or somehow would have first-hand knowledge of that event. A secondary source, by contrast, is written by a historian or someone writing about the event after it happened.
Have an introduction and strong thesis statement. Make use of support and examples supporting your thesis
Finish with a forceful conclusion reiterating your main idea.
Format your paper according to the
CSU-Global Guide to Writing and APA Requirements
(Links to an external site.)
.
.
For this portfolio assignment, you are required to research and anal.docx
For this portfolio assignment, you are required to research and analyze a TV program that ran between 1955 and 1965.
To successfully complete this essay, you will need to answer the following questions:
What is the background of this show? Explain what years it was on TV, describe the channel it aired on, the main characters, setting, etc..
What social issues and historical events were taking place at the time the show was being broadcast?
Did these issues affect the television show in any way?
Did the television show make an impact on popular culture?
Your thesis for the essay should attempt to answer this question:
Explain the cultural relevance of the show, given the information gathered from the show's background, and cultural history. How can television act as a reflection of the social, political, and cultural current events?
.
More Related Content
Similar to A computer supplies retailer wishes to open a store in one of two .docx
Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Follo.docx
Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Following ANOVA
Analysis of variance (ANOVA)
is a statistical procedure that compares data between two or more groups or conditions to investigate the presence of differences between those groups on some continuous dependent variable (see
Exercise 18
). In this exercise, we will focus on the
one-way ANOVA
, which involves testing one independent variable and one dependent variable (as opposed to other types of ANOVAs, such as factorial ANOVAs that incorporate multiple independent variables).
Why ANOVA and not a
t
-test? Remember that a
t
-test is formulated to compare two sets of data or two groups at one time (see
Exercise 23
for guidance on selecting appropriate statistics). Thus, data generated from a clinical trial that involves four experimental groups, Treatment 1, Treatment 2, Treatments 1 and 2 combined, and a Control, would require 6
t
-tests. Consequently, the chance of making a Type I error (alpha error) increases substantially (or is inflated) because so many computations are being performed. Specifically, the chance of making a Type I error is the number of comparisons multiplied by the alpha level. Thus, ANOVA is the recommended statistical technique for examining differences between more than two groups (
Zar, 2010
).
ANOVA is a procedure that culminates in a statistic called the
F
statistic. It is this value that is compared against an
F
distribution (see
Appendix C
) in order to determine whether the groups significantly differ from one another on the dependent variable. The formulas for ANOVA actually compute two estimates of variance: One estimate represents differences between the groups/conditions, and the other estimate represents differences among (within) the data.
Research Designs Appropriate for the One-Way ANOVA
Research designs that may utilize the one-way ANOVA include the randomized experimental, quasi-experimental, and comparative designs (
Gliner, Morgan, & Leech, 2009
). The independent variable (the “grouping” variable for the ANOVA) may be active or attributional. An active independent variable refers to an intervention, treatment, or program. An attributional independent variable refers to a characteristic of the participant, such as gender, diagnosis, or ethnicity. The ANOVA can compare two groups or more. In the case of a two-group design, the researcher can either select an independent samples
t
-test or a one-way ANOVA to answer the research question. The results will always yield the same conclusion, regardless of which test is computed; however, when examining differences between more than two groups, the one-way ANOVA is the preferred statistical test.
Example 1: A researcher conducts a randomized experimental study wherein she randomizes participants to receive a high-dosage weight loss pill, a low-dosage weight loss pill, or a placebo. She assesses the number of pounds lost from baseline to post-treatment
378
for the thre ...
QNT Weekly learning assessments - Questions and Answers | UOP E Assignments
What the benefits of learning QNT 561 Weekly Learning Assessments ? Know from UOP E Assignments which is the largest going online educational portal whose motive is to provide best knowledge to UOP students for final exam. You get QNT 561 weekly learning assessments question and answers, QNT 561 weekly learning assessments 30 questions, QNT 561 weekly learning assessments quiz 1 answers etc in USA.
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1. A law firm wants to determine the trend in its annual billings .docx
1. A law firm wants to determine the trend in its annual billings so that it can better forecast revenues. It plots the data on its billings for the past 10 years and finds that the scatter plot appears to be linear. What formula should they use to determine the trend line?
σ = ∑√(x - μ)2 ÷ N
F = s12 ÷ s22
t = (x̄ - μx-bar) ÷ s/√n
Tt = b0 + b1t
3 points
QUESTION 2
1. A set of subjects, usually randomly sampled, selected to participate in a research study is called:
Population
Sample
Mode group
Partial selection
3 points
QUESTION 3
1. If a researcher accepts a null hypothesis when that hypothesis is actually true, she has committed:
a type I error
a type II error
no error
a causation
3 points
QUESTION 4
1. A binomial probability distribution is a discrete distribution (i.e., the x-variable is discrete).
True
False
3 points
QUESTION 5
1. The tdistribution is wider and flatter (i.e., has more variation) than the normal distribution.
True
False
3 points
QUESTION 6
1. A physician wants to estimate the average amount of time that patients spend in his waiting room. He asks his receptionist to record the waiting times for 28 of his patients and finds that the sample mean (x̄) is 37 minutes and the sample standard deviation (s) is 12 minutes. What formula would you use to construct the 95% confidence interval for the population mean of waiting times?
t = (x̄ - μx-bar) ÷ s/√n
µ = ∑ x ÷ N
x̄ - t(s ÷ √n) < µ < x̄ + t(s ÷ √n)
z = (x - µ) ÷ σ
3 points
QUESTION 7
1. When the alternative hypothesis states that the difference between two groups can only be in one direction, we call this a:
One-tailed test
Bi-directional test
Two-tailed test
Non-parametric test
3 points
QUESTION 8
1. For any probability distribution, the probability of any x-value occurring within any given range is equal to the area under the distribution and above that range.
True
False
3 points
QUESTION 9
1. The formula for ____________ is (Row total X Column total)/T
Observed frequencies
Degrees of freedom
Expected frequencies
Sampling error
3 points
QUESTION 10
1. State Senator Hanna Rowe has ordered an investigation of the large number of boating accidents that have occurred in the state in recent summers. Acting on her instructions, her aide, Geoff Spencer, has randomly selected 9 summer months within the last few years and has compiled data on the number of boating accidents that occurred during each of these months. The mean number of boating accidents to occur in these 9 months was 31 (x̄), and the standard deviation (s) in this sample was 9 boating accidents per month. Geoff was told to construct a 90% confidence interval for the true mean number of boating accidents per month. What formula should Geoff use?
x̄ - t(s ÷ √n) < µ < x̄ + t(s ÷ √n)
F = s12 ÷ s22
z = (x - µ) ÷ σ
x̄ - z(σ ÷ √n) < µ < x̄ + z(σ ÷ √n)
.
PSYC 317 – Spring 2015 Exam 3Answer the questions below to th.docx
PSYC 317 – Spring 2015: Exam 3
Answer the questions below to the best of your ability. Partial credit will be awarded where possible. You MUST SHOW YOUR WORK for full credit for calculation problems.
Completion (37 points)
Complete each sentence or statement.
1. For a one-way Analysis of Variance, if the variance between groups is due only to chance we expect our F-test statistic to be equal to ________ (1 point).
2. A 2x4 factorial ANOVA analyzes _____ independent variable(s) (1 point).
3. If repeated administrations of a test to the same individual leads to identical scores on the test, we say that the test is _________________, however if a test accurately measures the intended psychological construct, we say that a test is _________________ (2 points).
4. One needs to use a __________________ test after an ANOVA only if it is significant (1 point).
5. The SS-within will never be _________________ (greater or smaller) than the SS-error (1 point).
6. Main effects test for differences among ______________ means, whereas the interaction tests for leftover differences among the _________________ means (2 points).
7. A correlation between a dichotomous (2 category) variable and a continuous variable is called a _______________________ correlation, whereas a correlation between two continuous variables is called a ___________________ correlation (2 points).
8. In regression, ________________ represents the predicted change in Y when X is increased one point/unit (1 point).
9. For regression, the ___________________ reflects the typical deviation between a predicted Y and actual Y (1 point).
10. Complete the following ANOVA table for a one-way design with 5 different treatment conditions with n = 12 people in each condition. (8 points)
Source
SS
df
MS
F
p
Between Groups
10
Within Groups
Total
150
11. Complete the following ANOVA table for a factorial design. Dr. Sousa wanted to see if gender and/or dog ownership influences the number of digital songs a person own. He found out how many digital songs each person owned (the DV). He also recorded their gender (either male or female) and whether they owned a dog (yes or no). n = 10 for each condition (17 points)
#Source
SS
df
MS
F
p
Between treatments
24
Gender
Dog Ownership
12
4
Gender x Dog
4
Within
3
Total
Short Answer (19 points)
Choose one of the following two short answer problems.
1. Describe at least two of the commonly used applications/purposes for which researchers use correlations (2 points).
2. Describe briefly two situations when one would use a Spearman correlation instead of a Pearson correlation. (2 points)
Choose one of the following two short answer problems.
3. Describe the two stages for computing a repeated-measures ANOVA by hand. (2 points)
4. Describe at least two advantages to using an ANOVA or Factorial ANOVA to analyze your data rather than multiple t tests ...
One-Way ANOVA
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Chapter 12: Analysis of Variance
12.1: One-Way ANOVA
Week 5 HomeworkHomework #1Ms. Lisa Monnin is the budget dire.docx
Week 5 Homework
Homework #1
Ms. Lisa Monnin is the budget director for Nexus Media Inc. She would like to compare the daily travel expenses for the sales staff and the audit staff. She collected the following sample information.
Sales ($)
129
137
142
162
137
145
Audit ($)
128
98
128
140
148
110
132
At the 0.1 significance level, can she conclude that the mean daily expenses are greater for the sales staff than the audit staff?
(a)
State the decision rule. (Round your answer to 3 decimal places.)
Reject H0 if t >
(b)
Compute the pooled estimate of the population variance. (Round your answer to 2 decimal places.)
Pooled variance
(c)
Compute the test statistic. (Round your answer to 3 decimal places.)
Value of the test statistic
(d)
State your decision about the null hypothesis.
H0 : μs ≤ μa
(e)
Estimate the p-value. (Round your answers to 3 decimal places.)
p-value
Homework #2
Suppose you are an expert on the fashion industry and wish to gather information to compare the amount earned per month by models featuring Liz Claiborne attire with those of Calvin Klein. Assume the population standard deviations are not the same. The following is the amount ($000) earned per month by a sample of Claiborne models:
$5.4
$4.3
$3.7
$6.7
$4.9
$5.9
$3.1
$5.2
$4.7
$3.5
5.8
4
3.1
5.6
6.9
The following is the amount ($000) earned by a sample of Klein models.
$2.5
$2.6
$3.5
$3.4
$2.8
$3.1
$4
$2.5
$2
$2.9
2.7
2.3
(1)
Find the degrees of freedom for unequal variance test. (Round down your answer to the nearest whole number.)
Degrees of freedom
(2)
State the decision rule for 0.01 significance level: H0: μLC ≤ μCK; H1: μLC > μCK. (Round your answer to 3 decimal places.)
Reject H0 if t>
(3)
Compute the value of the test statistic. (Round your answer to 3 decimal places.)
Value of the test statistic
(4)
Is it reasonable to conclude that Claiborne models earn more? Use the 0.01 significance level.
H0. It is to conclude that Claiborne models earn more.
Homework #3
A recent study focused on the number of times men and women who live alone buy take-out dinner in a month. The information is summarized below.
Statistic
Men
Women
Sample mean
23.82
21.38
Population standard deviation
5.91
4.87
Sample size
34
36
At the .01 significance level, is there a difference in the mean number of times men and women order take-out dinners in a month?
(a)
Compute the value of the test statistic. (Round your answer to 2 decimal places.)
Value of the test statistic
(b)
What is your decision regarding on null hypothesis?
The decision is the null hypothesis that the means are the same.
(c)
What is the p-value? (Round your answer to 4 decimal places.)
p-value
rev: 04_04_2012, 04_25_2014_QC_48145
Homework #4
Suppose the manufacturer of Advil, a common headache remedy, recently developed a new formulation of the drug that is claimed to be more effective. To evaluate the new drug, a s.
Directions The purpose of Project 8 is to prepare you for the final.docx
Directions: The purpose of Project 8 is to prepare you for the final, comprehensive exam and is set up EXACTLY the same. Questions 1 and 2 are not graded in this exercise, but are on the final. Be sure to answer them still so you can receive feedback. Once done with these, move into the calculation questions.
Be advised that you will need to decide which type of test to use in most of the problems. Please write out all pertinent information for each of the 4 steps of hypothesis testing. For the calculations, you only need to provide the values of all statistics for that test. There is no need to show work.
List the four Steps of the Hypothesis test:
Step 1 –
Step 2 –
Step 3 –
Step 4 –
This semester we have discussed the following statistical analyses.
Z-test
One-Sample
t
-test
Independent Groups
t
-test
Repeated Measures
t
-test
One-Way ANOVA
Repeated Measures ANOVA
Correlation
When do you use them? Please type your answer in the Test Used column.
ơ is given
µ is given
Groups Compared
Test Used
No
No
Looks at the same group at 2 different times or across two different conditions
Yes
Yes
Sample against population
Examines the degree to which two variables relate to one another
No
No
Looks at the same group at 2 or more times or across 2 or more conditions
No
No
Examines mean differences between two different groups
No
Yes
Sample against population
No
No
Examines mean differences between 2 or more groups
1. A researcher for a cereal company wanted to demonstrate the health benefits of eating oatmeal. A sample of 9 volunteers was obtained and each participant ate a fixed diet without any oatmeal for 30 days. At the end of the 30-day period, cholesterol was measured for each individual. Then the participants began a second 30-day period in which they repeated exactly the same diet except that they added 2 cups of oatmeal each day. After the second 30-day period, cholesterol levels were measured again and the researcher recorded the difference between the two scores for each participant. For this sample, cholesterol scores average M = 16 points lower with the oatmeal diet with SS = 538 for the difference scores.
10 points
·
Are the data sufficient to indicate a significant change in cholesterol level? Use a two-tailed test with α = .01.
·
Compute r
2
to measure the size of the treatment effect.
2. One possible explanation for why some birds migrate and others maintain year round residency in a single location is intelligence. Specifically, birds with smaller brain, relative to their body size, are not simply smart enough to find food during the winter and must migrate to warmer climates where food is easily available. Birds with bigger brains, on the other hand, are more creative and can find food even when the weather turns harsh. Following are hypothetical data similar to the actual results. The numbers represent relative brain size for the individual birds in each sample.
10 points
Non-Migrating
S.
8.5 End-of-Chapter Practice Problems1. Suppose that you wa.docx
8.5 End-of-Chapter Practice Problems
1. Suppose that you wanted to study the trend in hospital births per year over the
past 10 years for four hospitals under your organization’s management: A, B, C,
and D. Suppose, further, that you have collected the data presented in Fig. 8.6.
You have been asked to analyze the data to determine if there was any significant
difference in the number of births per year between the four hospitals over the
past decade.
(a) Enter these data on an Excel spreadsheet.
(b) Perform a one-way ANOVA test on these data, and show the resulting
ANOVA table underneath the input data for the four hospitals.
(c) If the F-value in the ANOVA table is significant, create an Excel formula to
compute the ANOVA t-test comparing the average for HOSPITAL A against
HOSPITAL D and show the results below the ANOVA table on the
Fig. 8.6 Worksheet Data
for Chap. 8: Practice
Problem #1
spreadsheet (put the standard error and the ANOVA t-test value on separate
lines of your spreadsheet, and use two decimal places for each value)
(d) Print out the resulting spreadsheet so that all of the information fits onto one
page
(e) Save the spreadsheet as: BIRTHS3
Now, write the answers to the following questions using your Excel printout:
1. What are the null hypothesis and the research hypothesis for the ANOVA
F-test?
2. What is MSb on your Excel printout?
3. What is MSw on your Excel printout?
4. Compute F ¼ MSb/MSw using your calculator.
5. What is the critical value of F on your Excel printout?
6. What is the result of the ANOVA F-test?
7. What is the conclusion of the ANOVA F-test in plain English?
8. If the ANOVA F-test produced a significant difference between the four
hospitals in births per year, what is the null hypothesis and the research
hypothesis for the ANOVA t-test comparing HOSPITAL A versus HOSPI-
TAL D?
9. What is the mean (average) for HOSPITAL A on your Excel printout?
10. What is the mean (average) for HOSPITAL D on your Excel printout?
11. What are the degrees of freedom (df) for the ANOVA t-test comparing
HOSPITAL A versus HOSPITAL D?
12. What is the critical t value for this ANOVA t-test in Appendix E for these
degrees of freedom?
13. Compute the s.e.ANOVA using your calculator.
14. Compute the ANOVA t-test value comparing HOSPITAL A versus HOS-
PITAL D using your calculator.
15. What is the result of the ANOVA t-test comparing HOSPITAL A versus
HOSPITAL D?
16. What is the conclusion of the ANOVA t-test comparing HOSPITAL A
versus HOSPITAL D in plain English?
Note: Since there are four hospitals and they comprise six pairs of hospitals
between them, you need to do six ANOVA t-tests to determine what the
significant differences are between the four hospitals in births per year.
Since you have just completed the ANOVA t-test comparing HOSPITAL A
versus HOSPITAL D, you would also need to do the ANOVA t-test
comparing:
HOSPITAL A versus HOSPITAL B
HOSPITAL A versus HOSPITAL C
HOS ...
Chapter 18 – Pricing Setting in the Business WorldThere are few .docx
Chapter 18 – Pricing Setting in the Business World
There are few Methods for setting pricing – costs methods vs demand methods
Formulas considering costs and mark up will help you to do the Problem set assignment:
1. Markup for setting prices (Mark up $ = SP-CP); MARK UP % = (MU $/SP) X100)
Formula for setting price with the markup method
SP = Cost/(1- Markup %)
Example - retailer buys A hat for $15 and wants a 40% markup, his selling price would be….
SP = 15/(1-.40)=.60
= $25.00
2. Understand Role of different costs – fixed, variable, total costs and average costs
3. What is the breakeven point? Formula for calculating the Break Even point.
BE = Total Fixed Cost/Fixed cost contribution
Fixed Cost Contribution=Price – variable cost
4. Average Cost = when there are many flavors/types of the same product, producer determines average cost and then add the mark up to set a common selling price.
.ANOVA
Analysis of Variance is a method of testing the equality of three or more population
means by analyzing sample variance.
One-Way ANOVA
The one-way ANOVA is used to compare three or more population means when there is
one factor of interest.
Requirements
The populations have distributions that are approximately normal.
The populations have the same variance.
The samples are simple random samples of quantitative data.
The samples are independent of each other.
The different samples are from populations that are categorized in only one.
way
One-Way ANOVA is a hypothesis test. There are seven steps for a hypothesis test.
Example
A professor at a local University believes there is a relationship between head size and
the major of the students in her biostatistics classes. She takes a random sample of 20
students from each of three classes and records their major and head circumference.
The data are shown in the following table.
Step 1: State the null hypothesis.
Mean 1 equals mean 2 equals mean 3 equals mean 4.
Step 2: State the Alternative hypothesis.
At least one mean is different.
Step 3: State the Level of Significance.
The level of significance is 0.05.
Step 4: State the test statistic.
variance between samples
variance within samples
F
The test statistic follows the F distribution which has two degrees of freedom, one for
the numerator and one for the denominator.
The calculations for the test statistic are complicated, so a software program is
generally used for the calculations. We will be using Microsoft Excel for this example.
Step 5: Calculate
The calculations are done in Microsoft Excel using the data analysis toolpak. Enter the
data into the spread sheet as shown here. Click on data and the data analysis tookpak
button is on the right.
When you click on the button a dialogue box appears.
Choose ANOVA One Factor. Then another dialogue box appears.
Input range is where the data is in the table. Be sure to put a check in the box for labels
in.
HomeworkPartnership Tax Year and Limited Liability Partnerships.docx
Homework
Partnership Tax Year and Limited Liability Partnerships
Please respond to the following:
--The IRC restricts the choices for a partnership‘s tax year to prevent the deferral of tax. This causes most partnerships to adopt a calendar year for tax reporting. From the e-Activity, create a scenario using a fiscal tax year which allows a partnership to defer taxes that meet the requirements of Sections 706 and 444 of the IRC.
--As discussed in the text, large accounting firms and other professional firms operate as limited liability partnerships (LLPs). Contrast the LLP form of business under state laws to the LLP for tax purposes. Next, suggest the major reasons why a new entity would choose an LLP over a traditional partnership for tax purposes. [350 words -- 1-2 references]
ANOVA
Instead of looking at the difference between population means, ANOVA (analysis of variance) calculates the variance between population means
ANOVA
Sample pop. 1
Sample pop. 2
Sample pop. 3
H0: μ1 = μ2 = μ3
ANOVA
Calculating ANOVA is different than calculating t-tests
How much sampling error do we expect under H0? (i.e., how much should our sample(s) vary just by chance?)
How do we calculate the equivalent of the standard error?
t-tests
Observed difference in sample means
Expected difference in pop. means
ANOVA
Observed variance in sample means
Expected variance in pop. means
ANOVA
Rock
Country
Classical
Mclassical
16.4
Mrock
6.0
Mcountry
10.8
Moverall
11.07
Under H0, all of these scores come from the same H0 distribution with M = 11.07. Based on the spread of each group, does that seem likely?
Under H0, all of these scores come from the same H0 distribution with M = 11.07. Based on the spread of each set, does that seem likely?
3
Y-Values 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 14 8 1 3 4 5 7 11 13 18 7 16 17 20 22
Score
ANOVA
Rock
Country
Classical
Mclassical
16.4
Mrock
6.0
Mcountry
10.8
Under H0, all of these scores come from the same H0 distribution with M = 11.07. Based on the spread of each group, does that seem likely?
Moverall
11.07
Under H0, all of these scores come from the same H0 distribution with M = 11.07. Based on the spread of each set, does that seem likely?
4
Y-Values 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 2 3 7 8 10 6 10 11 12 15 13 14 15 19 21
Score
ANOVA
Rock
Country
Classical
Mclassical
16.4
Mrock
6.0
Mcountry
10.8
Under H0, all of these scores come from the same H0 distribution with M = 11.07. Based on the spread of each group, does that seem likely?
Moverall
11.07
Under H0, all of these scores come from the same H0 distribution with M = 11.07. Based on the spread of each set, does that seem likely?
5
Y-Values 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 4 5 6 7 8 8.8000000000000007 9.8000000000000007 10.8 11.8 12.8 14.4 15.4 16.399999999999999 17.399999999999999 18.399999999999999
Score
ANOVA
The amount of variation within each group contributes to the expected variance in population means
Steps of hypothesis testing.
Analysis of variance (ANOVA)
ANOVA is very important statistical tool for analysis of data in specific case.
Use the SPSS software and the data set (2004)GSS.SAV (attached).docx
Use the SPSS software and the data set:
(2004)GSS.SAV (attached)
recode the variable for political party identification (PARTYID) into a NEW variable that uses the following old values to create the following new
categories:
Data set:
2004gssnew-6.sav
binge1-2.sav
1 thru 2 = 1= Democrat
3 thru 5 = 2 = Independent
6 thru 7 = 3 = Republican
8 = 4 = Other
(Answer the following questions; use the (new) recoded variable with a variable premarsx and compare them- crosstab)
Note:
Variable PREMARSX will be a dependent variable (place it in the row), variable NEW PARTID will be an independent variable (place it in the column).
Remember to request column percentages.
Show your work (attach all tables).
1. Of all the respondents who are
Republicans
, what
percentage
believes that premarital sex is always wrong?
________________________________________________
2. Of all the respondents who are
Democrats
, what
percentage
believes that premarital sex in
not
wrong at all?
_________________________________________________
3. Of all the people who are
Independents
, what
percentage
believes that premarital sex is always wrong or almost always wrong?
________________________________________________________
4.
Seven detention centers are surveyed. The current number of inmates in each detention center is 30, 11, 22, 15, 5, 42, and 99. What is the median number of inmates?
Answer: _________________________
5. When do we use a Chi square?
_______________________________________________
6. Participants in a research study have been classified as lower, middle, or upper class in terms of their socioeconomic status. We can say that the variable of social class has been measured at the ____________________ level of measurement.
7. A distribution has 14 scores. Each score is represented only once in the distribution, with two exceptions. The score of 72, appears three times, and the score of 48 appears four times.
What is the mode of the distribution?
8. Assume that the mean of a distribution of test scores is 40 and the standard deviation is 10. You have been told that your test score
is one standard deviation above the mean.
What is your test score?
9. Assume that the mean of a distribution of test scores is 60, with a standard deviation of 20. What would be the value of the score that
falls two standard deviations below the mean?
10. What menu across the top of the SPSS data editor window will let you access the FREQUENCIES command?
(a)
Analyze
(d)
Summarize
(b)
Data
(e)
Window
(c)
Transform
Answer: ___________________________
11. Briefly explain the difference between
percent
and
valid percent
in a frequency table.
12. In a survey instrument, a question asks “In a typical week, how often do you exercise enough to raise your heart rate?”
The response categories are never; 1 time per week; 2 times per w.
In the t test for independent groups, ____.we estimate µ1 µ2.docx
In the t test for independent groups, ____.
we estimate µ1 µ2
we estimate 2
we estimate X1-X2
df = N 1
Exhibit 14-1
A professor of women's studies is interested in determining if stress affects the menstrual cycle. Ten women are randomly sampled for an experiment and randomly divided into two groups. One of the groups is subjected to high stress for two months while the other lives in a relatively stress-free environment. The professor measures the menstrual cycle (in days) of each woman during the second month. The following data are obtained.
High stress
20
23
18
19
22
Relatively stress free
26
31
25
26
30
Refer to Exhibit 14-1. The obtained value of the appropriate statistic is ____.
tobt = 4.73
tobt = 4.71
tobt = 3.05
tobt = 0.47
Refer to Exhibit 14-1. The df for determining tcrit are ____.
4
9
8
3
Refer to Exhibit 14-1. Using = .052 tail, tcrit = ____.
+2.162
+2.506
±2.462
±2.306
Refer to Exhibit 14-1. Using = .052 tail, your conclusion is ____.
accept H0; stress does not affect the menstrual cycle
retain H0; we cannot conclude that stress affects the menstrual cycle
retain H0; stress affects the menstrual cycle
reject H0; stress affects the menstrual cycle
Refer to Exhibit 14-1. Estimate the size of the effect. = ____
0.8102
0.6810
0.4322
0.5776
A major advantage to using a two condition experiment (e.g. control and experimental groups) is ____.
the test has more power
the data are easier to analyze
the experiment does not need to know population parameters
the test has less power
Which of the following tests analyzes the difference between the means of two independent samples?
correlated t test
t test for independent groups
sign test
test of variance
If n1 = n2 and n is relatively large, then the t test is relatively robust against ____.
violations of the assumptions of homogeneity of variance and normality
violations of random samples
traffic violations
violations by the forces of evil
Exhibit 14-3
Five students were tested before and after taking a class to improve their study habits. They were given articles to read which contained a known number of facts in each story. After the story each student listed as many facts as he/she could recall. The following data was recorded.
Before
10
12
14
16
12
After
15
14
17
17
20
Refer to Exhibit 14-3. The obtained value of the appropriate statistic is ____.
3.92
3.06
4.12
2.58
Refer to Exhibit 14-3. What do you conclude using = 0.052 tail?
reject H0; the class appeared to improve study habits
retain H0; the class had no effect on study habits
retain H0; we cannot conclude that the class improved study habits
accept H0; the class appeared to improve study habits
Which of the following is (are) assumption(s) underlying the use of the F test?
the raw score populations are normally distributed
the variances of the raw score populations are the same
the mean of the populations differ
the raw score popul.
Similar to A computer supplies retailer wishes to open a store in one of two .docx (20)
Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Follo.docx
Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Follo.docx
QNT Weekly learning assessments - Questions and Answers | UOP E Assignments
QNT Weekly learning assessments - Questions and Answers | UOP E Assignments
1. A law firm wants to determine the trend in its annual billings .docx
1. A law firm wants to determine the trend in its annual billings .docx
PSYC 317 – Spring 2015 Exam 3Answer the questions below to th.docx
PSYC 317 – Spring 2015 Exam 3Answer the questions below to th.docx
Week 5 HomeworkHomework #1Ms. Lisa Monnin is the budget dire.docx
Week 5 HomeworkHomework #1Ms. Lisa Monnin is the budget dire.docx
Directions The purpose of Project 8 is to prepare you for the final.docx
Directions The purpose of Project 8 is to prepare you for the final.docx
8.5 End-of-Chapter Practice Problems1. Suppose that you wa.docx
8.5 End-of-Chapter Practice Problems1. Suppose that you wa.docx
Chapter 18 – Pricing Setting in the Business WorldThere are few .docx
Chapter 18 – Pricing Setting in the Business WorldThere are few .docx
anovappt-141025002857-conversion-gate01 (1)_240403_185855 (2).docx
anovappt-141025002857-conversion-gate01 (1)_240403_185855 (2).docx
HomeworkPartnership Tax Year and Limited Liability Partnerships.docx
HomeworkPartnership Tax Year and Limited Liability Partnerships.docx
Use the SPSS software and the data set (2004)GSS.SAV (attached).docx
Use the SPSS software and the data set (2004)GSS.SAV (attached).docx
In the t test for independent groups, ____.we estimate µ1 µ2.docx
In the t test for independent groups, ____.we estimate µ1 µ2.docx
More from evonnehoggarth79783
For this Portfolio Project, you will write a paper about John A.docx
For this Portfolio Project, you will write a paper about "John Adams" as well as any event in U.S. history that is relevant to your major area of study or of interest to you. You will write about John Adams from the perspective of another historical personality who lived at the same time as the person or event you are going to describe.
For your historical personality, try to select someone from an under-represented population (examples of possible perspectives include that of Anne Hutchinson, Pocahontas, or Sojourner Truth). This analysis is to make you think about how events/people’s actions were interpreted at the time.
Key Points::
Remember that you will be writing from the perspective of a historical person about another person or an event from a period of U.S. history up to Reconstruction. From your historical person’s perspective, provide a thorough summary of the person or event you’ve chosen to write about, including the incidents that took place and any key individuals involved or affected.
Address the general importance of the person or event in the context of U.S. history.
Now, explain specifically how the person or event changed “your” daily life—“you” being the historical persona you have adopted.
Think long-term: How will the person or the event you are describing make a long-term impact in the lives of people who are in the under-represented group to which your historical person/perspective belongs?
Paper Requirements:
Your paper must be four to six pages, not including the required references and title pages.
Use at least five sources, not including the textbook. Include a scholarly journal article. Include at least one
primary
source from those identified in the syllabus.
Definition of a Primary Source
: A primary source is any source, document or artifact that was created at the time of the event. It was usually created by someone who witnessed the event, lived during or even shortly afterwards, or somehow would have first-hand knowledge of that event. A secondary source, by contrast, is written by a historian or someone writing about the event after it happened.
Have an introduction and strong thesis statement. Make use of support and examples supporting your thesis
Finish with a forceful conclusion reiterating your main idea.
Format your paper according to the
CSU-Global Guide to Writing and APA Requirements
(Links to an external site.)
.
.
For this portfolio assignment, you are required to research and anal.docx
For this portfolio assignment, you are required to research and analyze a TV program that ran between 1955 and 1965.
To successfully complete this essay, you will need to answer the following questions:
What is the background of this show? Explain what years it was on TV, describe the channel it aired on, the main characters, setting, etc..
What social issues and historical events were taking place at the time the show was being broadcast?
Did these issues affect the television show in any way?
Did the television show make an impact on popular culture?
Your thesis for the essay should attempt to answer this question:
Explain the cultural relevance of the show, given the information gathered from the show's background, and cultural history. How can television act as a reflection of the social, political, and cultural current events?
.
For this paper, discuss the similarities and differences of the .docx
For this paper, discuss the similarities and differences of the impacts of the causes of the 2008 Great Recession and the current world crisis with the CoVID-19 virus*
How did the regulations you've studied over the past few chapters and in the Financial Crisis Chapter (Chapter 12) prepare banks and other financial institutions to better weather the effects of the stay-at-home orders and other impacts of the pandemic? Are there other regulations that could be placed on the banking industry that would make sense and help them through these trying times?
*Note: I am not trying to downplay or minimize in any way the "human" impact or any other non-economic impacts of the virus; this paper is just focusing on one component of the costs, among the many different impacts (perhaps much more important impacts)
4 pages 4 resources
.
For this paper, discuss the similarities and differences of the impa.docx
For this paper, discuss the similarities and differences of the impacts of the causes of the 2008 Great Recession and the current world crisis with the CoVID-19 virus*
How did the regulations you've studied over the past few chapters and in the Financial Crisis Chapter (Chapter 12) prepare banks and other financial institutions to better weather the effects of the stay-at-home orders and other impacts of the pandemic? Are there other regulations that could be placed on the banking industry that would make sense and help them through these trying times?
*Note: I am not trying to downplay or minimize in any way the "human" impact or any other non-economic impacts of the virus; this paper is just focusing on one component of the costs, among the many different impacts (perhaps much more important impacts)
.
For this paper choose two mythological narratives that we have exami.docx
For this paper choose two mythological narratives that we have examined so far in this course, or that you are otherwise personally familiar with. The two myths that you choose should have one or more elements in common, possibly including (but not limited to):
Overarching story (e.g., creation, flood) or story elements (e.g., descent into the underworld, establishment of divine rulership, rapture of mortals by gods, divine disguise)
Narrative structure (e.g., repetitive patterns, discursion)
Themes (e.g., love, jealousy, mortality, revenge, mutability/transformation, limits of human power/knowledge)
Characters (e.g., tricksters)
Cultural functions (e.g., reinforcement of societal norms, explanation of origins of society, explanation of natural phenomena, incorporation in ritual practices, entertainment)
Compare and contrast the two myths you choose, taking into consideration the various elements noted above and any others you deem relevant. (In making comparisons, you do not necessarily need to apply the specifically "comparativist" approach discussed in the course as one historical strand of mythological analysis.)
While you are welcome to reference external sources, this is not a research paper and the use of secondary sources is not required or expected. If you choose to examine a myth not discussed in the course, however, please indicate the source from which you have taken this.
.
For this module, there is only one option. You are to begin to deve.docx
For this module, there is only one option. You are to begin to develop your diversity consciousness by
identifying a current event in the news pertaining to social inequality in terms social class, gender, or racial ethnicity.
You are to
provide the link to this news article and analyze
the report including in your discussion the following:
What social inequality is being demonstrated in this current even? Describe it
What relationship is going on between the “majority” and “minority group.” Define who is the majority and who is the minority. Describe why you have identified the group as minority and majority.
Who is being marginalized in this event? How? Why do you believe they are being marginalized?
Is any group being “blamed” in this event? Is this “blame” at the individual level or the societal level – or both?
Who has the power in this situation? What is that power?
Who has the privilege in this situation? What is that privilege?
What suggestions do you have that would assist in addressing this social inequality?
What did you learn? (How did this develop your diversity consciousness?)
need to cite using apa and needs to be at least 250 words
.
For this Major Assignment 2, you will finalize your analysis in .docx
For this Major Assignment 2, you will finalize your analysis in your Part 3, Results section, and finalize your presentation of results from the different data sources. Also, for this week, you will complete the Part 4, Trustworthiness and Summary section to finalize the last part of this Major Assignment 2.
To prepare for this Assignment:
· Review the social change articles found in this week’s Learning Resources.
Part 4: Trustworthiness and Summary
D. Trustworthiness—summarize across the different data sources and respond to the following:
o What themes are in common?
o What sources have different themes?
o Explain the trustworthiness of your findings, in terms of:
§ Credibility
§ Transferability
§ Dependability strategies
§ Confirmability
Summary
· Based on the results of your analyses, how would you answer the question: “What is the meaning of social change for Walden graduate students?”
· Self-Reflection—Has your own understanding of you as a positive social change agent changed? Explain your reasoning.
· Based on your review of the three articles on social change, which one is aligned with your interests regarding social change and why?
By Day 7
Submit
Parts 1, 2, 3, and 4 of your Major Assignment 2.
.
For this Final Visual Analysis Project, you will choose one website .docx
For this Final Visual Analysis Project, you will choose one website that you visit frequently (it must be a professional business website, not your own personal website). Feel free to use websites such as Nike, Apple, Northwestern Mutual, etc. or a website that applies to your career choices.
Once you choose your website, you will begin to consider the effects the visual elements have on the viewers and
create a thesis statement and outline using the response elements 1-5 below.
For the Thesis & Outline TEMPLATE document click
here
.
APA title page, reference page, and formatting.
Use at least four academic/scholarly sources.
Use properly cited quotes and paraphrases when necessary.
Complete, polished, and error-free cohesive sentences.
Contains an introduction, body, and conclusion.
Sensory Response –
When analyzing the viewer’s sensory response to a particular visual, it is important to consider the visual elements that attract the eyes. Close your eyes when considering a visual. When you open your eyes, what are the first visual elements that you see? When analyzing a viewer’s Sensory Response, you may consider analyzing at least two of the following effects:
Colors
Lines
Shapes
Balance
Contrast
Perceptual Response –
When analyzing a viewer’s perception of visuals, it is important to consider the audience. Consider who is or is not attracted to this type of visual communication. When analyzing a viewer’s Perceptual Response, consider at least two of the following effects:
Target audience specifics (age, profession, gender, financial status, etc.)
Cultural familiarity elements (ethnicity, religious preference, social groups, etc)
Cognitive visuals (viewer’s memories, experiences, values, beliefs, etc.)
Technical Response –
When analyzing a viewer’s response to certain visuals, we need to consider the technical visual aspects that may affect perception. Describe how visuals affect the interpretation of the intended media communication message. Address specific technological elements that impact perception. When analyzing the Technical Response, consider the Laws of Perceptual Organization (similarity, proximity, continuity, common fate, etc), and at least two of the following types of visuals:
Drop-down menus
Hover-over highlighting
Animations
Quality of visuals
Emotional Response
– When analyzing a viewer’s Emotional Response, it is important to consider the targeted audience preferences and emotional intelligence. Discuss what the viewer might want to see and what type of visual presentation will set the tone for that response. When analyzing the Emotional Response, consider the effects of at least two of the following types of visuals:
Mood setting colors
Mood setting lighting
Persuasive images
Positioning of search or purchase buttons
Social media icons and share options
Ethical Response -
When analyzing a viewer’s Ethical Response, it is important to consider the ta.
For this essay, you will select one of the sources you have found th.docx
For this essay, you will select one of the sources you have found through your preliminary research about your research topic (see Assignment 1.1). Which source you choose is up to you; however, it should be substantial enough that you will be able to talk about it at length, and intricate enough that it will keep you (and your reader) interested. For more info see attached document
.
For this discussion, you will address the following prompts. Keep in.docx
For this discussion, you will address the following prompts. Keep in mind that the article or video you’ve chosen should not be about critical thinking, but should be about someone making a statement, claim, or argument related to Povetry & Income equality. One source should demonstrate good critical thinking skills and the other source should demonstrate the lack or absence of critical thinking skills. Personal examples should not be used.
1. Explain at least five elements of critical thinking that you found in the reading material.
2.Search the Internet, media, and find an example in which good critical thinking skills are being demonstrated by the author or speaker. Summarize the content and explain why you think it demonstrates good critical thinking skills.
3.Search the Internet, media, or and find an example in which the author or speaker lacks good critical thinking skills. Summarize the content and explain why you think it demonstrates the absence of good, critical thinking skills.
Your initial post should be at least 250 words in length, which should include a thorough response to each question.
Due midnight Thursday April 22,2020
.
For this discussion, research a recent science news event that h.docx
For this discussion, research a recent science news event that has occurred in the last six months. The event should come from a well-known news source, such as ABC, NBC, CBS, Fox, NPR, PBS, BBC, National Geographic, The New York Times, and so on. Post a link to the news story, and in your initial post:
* Summarize your news story and its contributions to the science or STEM fields
* If your news event is overtly related to globalization, explain how this event contributes to global studies. If your news event does not directly relate to globalization, how could the science behind your event be applied to global studies?
.
For this Discussion, review the case Learning Resources and the .docx
For this Discussion, review the case Learning Resources and the case study excerpt presented. Reflect on the case study excerpt and consider the therapy approaches you might take to assess, diagnose, and treat the patient’s health needs.
Case: An elderly widow who just lost her spouse.
Subjective: A patient presents to your primary care office today with chief complaint of insomnia. Patient is 75 YO with PMH of DM, HTN, and MDD. Her husband of 41 years passed away 10 months ago. Since then, she states her depression has gotten worse as well as her sleep habits. The patient has no previous history of depression prior to her husband’s death. She is awake, alert, and oriented x3. Patient normally sees PCP once or twice a year. Patient denies any suicidal ideations. Patient arrived at the office today by private vehicle. Patient currently takes the following medications:
•
Metformin 500mg BID
•
Januvia 100mg daily
•
Losartan 100mg daily
•
HCTZ 25mg daily
•
Sertraline 100mg daily
Current weight: 88 kg
Current height: 64 inches
Temp: 98.6 degrees F
BP: 132/86
By Day 3 of Week 7
Post
a response to each of the following:
• List three questions you might ask the patient if she were in your office. Provide a rationale for why you might ask these questions.
• Identify people in the patient’s life you would need to speak to or get feedback from to further assess the patient’s situation. Include specific questions you might ask these people and why.
• Explain what, if any, physical exams, and diagnostic tests would be appropriate for the patient and how the results would be used.
• List a differential diagnosis for the patient. Identify the one that you think is most likely and explain why.
• List two pharmacologic agents and their dosing that would be appropriate for the patient’s antidepressant therapy based on pharmacokinetics and pharmacodynamics. From a mechanism of action perspective, provide a rationale for why you might choose one agent over the other.
• For the drug therapy you select, identify any contraindications to use or alterations in dosing that may need to be considered based on the client’s ethnicity. Discuss why the contraindication/alteration you identify exists. That is, what would be problematic with the use of this drug in individuals of other ethnicities?
• Include any “check points” (i.e., follow-up data at Week 4, 8, 12, etc.), and indicate any therapeutic changes that you might make based on possible outcomes that may happen given your treatment options chosen.
Respond to the these discussions. All questions need to be addressed.
Discussion 2 Me
Treatment of a Patient with Insomnia
The case presented this week, is that of a 75-year-old widow who just lost her spouse 10-months ago. Th patient presents with chief complaints of insomnia. Past medical history of DM, HTN, and MDD is reported. Since the passing of her husband, she states her depression has gotten worse .
For this Discussion, give an example of how an event in one part.docx
For this Discussion, give an example of how an event in one part of the world can cause a response elsewhere in the world:
Reviewing the aspects of your event, analyze the cause and effect of global influences through direct or indirect means.
What aspects of diversity are evident in your event?
How can understanding diversity benefit a society?
.
For this discussion, consider the role of the LPN and the RN in .docx
For this discussion, consider the role of the LPN and the RN in the nursing process.
How would the LPN and RN collaborate to develop the nursing plan of care to ensure the patient is achieving their goal?
What are the role expectations for the LPN and RN in the nursing process?
Pls include two references and intext citation.
.
For this discussion, after you have viewed the videos on this topi.docx
For this discussion, after you have viewed the videos on this topic posted in this week's assignment, please answer the questions posted with this week's discussion.
After posting your individual answers to questions, you are required to respond to 2 students answers with meaningful/thoughtful input on their comments. Your responses must be minimum of a paragraph with at least 3 sentences. Your comments to 2 students
Video #1: History of Homosexuality on Film -- https://youtu.be/SeDhMKd83r4
Video #2: The Gay Culture, According to Television -- https://youtu.be/EbdxRZJfRp4
Video #3: Top 10 Groundbreaking Moments for LGBTQ Characters on TV -- https://youtu.be/yXJAzPJFjQ8
Video #4: I'm Gay, But I'm not ... -- https://criticalmediaproject.org/im-gay-but-im-not/
Video #5: Acting Gay - One Word Cut -- https://youtu.be/a4jfiqiIy0A
LGBTQ+ Questions:
· Name some common stereotypes associated with LGBTQ community?
· What role does media play in establishing & perpetuating these stereotypes?
· Name 2 LGBTQ characters, 1 one from current show/movie; 1 from 10-15 years ago
. Are there differences in the characters?
. Have things changed? Evolved? Improved?
· Are LGBTQ characters portrayed differently than straight characters?
· Why do stories involving LGBTQ characters revolve around their sexuality or sexual orientation?
Acting Gay - One Word: What is your one-word association with the saying "Acting Gay"? Why did you choose this word?
Jarrett Kelley
LGBTQ Discussion
COLLAPSE
Top of Form
1. Some common stereotypes that coincide with the LGBTQ community are promiscuous, non-religious, flamboyant, mentally ill, high sex drives, etc.
2. The media plays a role in establishing these stereotypes because the general public is always watching these shows, reading the news, and listening to stories about different cultures and groups and media that they may not see or interact with in their lives. Therefore, media is an outlet to show these things in a easy way to gain knowledge about people without meeting people face-to-face apart of these groups when sometimes the stereotypes shown can't represent everyone in those groups.
3. Currently, in Marvel's Runaways, that ended in December, there are two lesbian superheros that share a kiss at the end of a season. Karolina, one of the characters, wants to get away from her childhood of religious upbringing and wants to pursue her own life with her superpower of glowing colors. Nico is shown with a Gothic appearance and can be seen as aggressive but down to earth as well. The War at Home was a television show on Fox and a character named Kenny, who is sixteen years old, is kicked out of his house by his parents after finding out he is gay.
a. There are some differences in the characters as Karolina is more flamboyant and colorful, compared to Nico who is goth and likes to remain strictly to business. Kenny is quiet most of the time about his life, especially about his gay crush until his p.
For this discussion choose one of the case studies listed bel.docx
For this "discussion" choose
one
of the case studies listed below and mention which case study number you picked. After completing your readings, you should be able to identify the psychological disorder associated to each. After choosing one case study, identify the diagnosis, symptoms in your words and treatment plan for that diagnosis. Provide
in-text citations and references in APA format
to indicate where you are getting information from regarding diagnosis and treatment options).
This is the Case Study I chose:
Martin is a 21 year-old business major at a large university. Over the past few weeks his family and friends have noticed increasingly bizarre behaviors. On many occasions they’ve overheard him whispering in an agitated voice, even though there is no one nearby. Lately, he has refused to answer or make calls on his cell phone, claiming that if he does it will activate a deadly chip that was implanted in his brain by evil aliens. His parents have tried to get him to go with them to a psychiatrist for an evaluation, but he refuses. He has accused them on several occasions of conspiring with the aliens to have him killed so they can remove his brain and put it inside one of their own. He has stopped attended classes altogether. He is now so far behind in his coursework that he will fail if something doesn’t change very soon. Although Martin occasionally has a few beers with his friends, he’s never been known to abuse alcohol or use drugs. He does, however, have an estranged aunt who has been in and out of psychiatric hospitals over the years due to erratic and bizarre behavior.
The Psychological disorder is: SCHIZOPHRENIA
I have attached the reading as well.
Please Consider the following:
APA Format
Only sources from the text
250 words or more
Please let me know if you need anything else.
.
For this assignment, you will use what youve learned about symbolic.docx
For this assignment, you will use what you've learned about symbolic interactionism to develop your own analysis.
Your assignment is to select a television program that you know contains social inequality or social class themes. In 3-5 pages make sure to provide the following:
Provide a brief introduction that includes the program's title, describes the type of program, and explains which social theme you are addressing
Describe and explain scenes that apply to the social theme.
Identify all observed body language, facial expressions, gestures, posture stances, modes of dress, nonverbal cues, symbols, and any other observed nonverbal forms of communication in the scenes.
Explain your interpretation of the meanings of the identified nonverbal communications and symbolism.
Summarize how these interpretations are important to the sociological understanding of your chosen social inequality or social class theme.
Suggest how your interpretation of the respective meanings might be generalized to society as a whole.
.
For this Assignment, you will research various perspectives of a mul.docx
For this Assignment, you will research various perspectives of a multicultural education issue and develop an advocacy plan to effectively communicate and advocate for a culturally responsive solution. During the development of your advocacy plan, synthesize and reflect on the major learning points that are applicable to leading culturally responsive social change in your context.
To prepare for this Assignment, review the issues you identified in the Equity Audit assignment.
Review Chapters 1–5 (pp. 1–64) of “An Introduction to Advocacy: Training Guide.”
Develop and submit your advocacy plan. To complete this Assignment, use the document below:
.
For this assignment, you will be studying a story from the Gospe.docx
For this assignment, you will be studying a story from the Gospels. More specifically, you will be studying Jesus encounter with Mary and Martha in Luke 10:38-42. You will use the template below in order to complete a study of this passage. In your study, you will use the skills of Observation, Interpretation, Correlation, and Application that you have become familiar with through your reading in
Everyday Bible Study
.
.
For this assignment, you will discuss how you see the Design Princip.docx
For this assignment, you will discuss how you see the Design Principles used in a 2D print. You can select a 2D print from your home, workplace, or use the CSU Art Appreciation LibGuide to find a print in an online museum. Take a photograph of the print or save an image of the print, and include it in the worksheet.In Unit II, our assignment was to describe an artwork using the Visual Elements. We can think of the Design Principles as a way that the artist organized the Visual Elements. Instead of focusing on the small parts of the artwork (like line, shape, and mass) the Design Principles look at the whole artwork and how all the elements work together. Provide a detailed description of the design principles in your 2D print, using full and complete sentences. For Design Principles, make sure you describe how the artist used the ones in Chapter 5: unity and variety, balance, emphasis, repetition and rhythm, and scale and proportion. Questions to consider are included below:
Unity: what elements work together to make a harmonious whole?
Variety: What creates diversity?
Balance: Is it symmetrical or asymmetrical?
Emphasis: What is the focal point?
Repetition and rhythm: Is an element repeated?
Scale and proportion: Are the objects in proportion to each other?
Be sure to describe exactly where in the artwork you see each Principle. You'll want to describe each artwork using the terms we learned in this unit's reading. Remember to write in complete sentences and use proper grammar.
.
More from evonnehoggarth79783 (20)
For this Portfolio Project, you will write a paper about John A.docx
For this Portfolio Project, you will write a paper about John A.docx
For this portfolio assignment, you are required to research and anal.docx
For this portfolio assignment, you are required to research and anal.docx
For this paper, discuss the similarities and differences of the .docx
For this paper, discuss the similarities and differences of the .docx
For this paper, discuss the similarities and differences of the impa.docx
For this paper, discuss the similarities and differences of the impa.docx
For this paper choose two mythological narratives that we have exami.docx
For this paper choose two mythological narratives that we have exami.docx
For this module, there is only one option. You are to begin to deve.docx
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- 1. A computer supplies retailer wishes to open a store in one of two Pittsburgh suburbs, Monroeville and Greentree. To decide where to locate its store, the retailer conducts an e-mail survey of randomly selected households in each suburb, in order to measure the average yearly expenditure per household on computer supplies. 13 households from Monroeville responded to the survey: these households spent an average of $81, with a standard deviation of $20. 12 households from Greentree responded to the survey: these households spent an average of $74, with a standard deviation of $22. a) Let 1 and 2 represent the mean expenditures per household in Monroeville and Greentree respectively. Compute the 99% confidence interval for 1 - 2. b) Is the sample evidence sufficient to conclude which suburb spends more? To answer this question, perform a two-sided hypothesis test at = .05. State the alternative and null hypotheses, compute the observed significance level (p-value), and state the conclusion of your test. (For parts a and b, you should assume that both populations are approximately normally distributed, with equal variances.) In a much larger, follow-up survey, 563 households from Monroeville and 587 households from Greentree were polled. The Monroeville households spent an average of $76, with a standard deviation of $19, and the Greentree households spent an average of $80, with a standard deviation of $22. c) Let µ1 and µ2 represent the mean expenditures per household in Monroeville and Greentree respectively. Using the sample evidence from the follow-up survey, compute the 99% confidence interval for µ1 - µ2. d) Is the sample evidence from the follow-up survey sufficient to conclude which suburb spends more? To answer this
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- 3. SS df MS F A-group 150 1 S/A (error) 25 18 Total 175 19 Fill-in the missing A-group MS value: (Points : 5) 5. A researcher is interested in how caffeine affects stress. One group gets no caffeine and the other gets 3 cups of coffee. Complete the ANOVA table ANOVA Summary Table
- 4. Source SS df MS F A-group 150 1 S/A (error) 25 18 Total 175 19 Fill-in the missing S/A MS value: (Points : 5) 6. A researcher is interested in how caffeine affects stress. One group gets no caffeine and the other gets 3 cups of coffee. Complete the ANOVA table
- 5. ANOVA Summary Table Source SS df MS F A-group 150 1 S/A (error) 25 18 Total 175 19 Fill-in the missing F value: (Points : 5) 7. A researcher is interested in how caffeine affects stress. One group gets no caffeine and the other gets 3 cups of coffee.
- 6. Complete the ANOVA table ANOVA Summary Table Source SS df MS F A-group 150 1 S/A (error) 25 18 Total 175 19 Find F-critical. (Points : 3) 8. A researcher is interested in how caffeine affects stress. One group gets no caffeine and the other gets 3 cups of coffee.
- 7. Complete the ANOVA table ANOVA Summary Table Source SS df MS F A-group 150 1 S/A (error) 25 18 Total 175 19 Are the two groups significantly different? (Points : 2) 9. A researcher is interested in how caffeine affects stress. One
- 8. group gets no caffeine and the other gets 3 cups of coffee. Complete the ANOVA table ANOVA Summary Table Source SS df MS F A-group 150 1 S/A (error) 25 18 Total 175 19 Interpret the results (remember to address the research question) (Points : 5) 10.
- 9. A researcher is interested in how caffeine affects stress. One group gets no caffeine and the other gets 3 cups of coffee. Complete the ANOVA table ANOVA Summary Table Source SS df MS F A-group 150 1 S/A (error) 25 18 Total 175 19 Write the results statiscally (Points : 5)
- 10. 11. A clinical psychologist is examining the effects of different types of therapy on reducing schizophrenic symptoms. Patients are assigned to no therapy, psychoanalysis, behavioral therapy, or cognitive therapy. The ANOVA is significant. What should the psychologist do next? (Points : 10) 12. Dr. Iforgot cannot seem to remember how to calculate an ANOVA. Complete the missing information in the ANOVA summary table below. ANOVA Summary Table Source SS df MS F Effect A 5.04 1 Effect B 7.04 1 A X B 7.05
- 11. 1 Within (S/AB) 16.83 20 .84 Total 35.96 23 Fill-in the missing Effect A MS value: (Points : 3) 13. Dr. Iforgot cannot seem to remember how to calculate an ANOVA. Complete the missing information in the ANOVA summary table below. ANOVA Summary Table Source SS df MS F
- 12. Effect A 5.04 1 Effect B 7.04 1 A X B 7.05 1 Within (S/AB) 16.83 20 .84 Total 35.96 23 Fill-in the missing Effect A F value: (Points : 3) 14.
- 13. Dr. Iforgot cannot seem to remember how to calculate an ANOVA. Complete the missing information in the ANOVA summary table below. ANOVA Summary Table Source SS df MS F Effect A 5.04 1 Effect B 7.04 1 A X B 7.05 1 Within (S/AB) 16.83 20
- 14. .84 Total 35.96 23 Fill-in the missing Effect B MS value: (Points : 3) 15. Dr. Iforgot cannot seem to remember how to calculate an ANOVA. Complete the missing information in the ANOVA summary table below. ANOVA Summary Table Source SS df MS F Effect A 5.04 1 Effect B 7.04
- 15. 1 A X B 7.05 1 Within (S/AB) 16.83 20 .84 Total 35.96 23 Fill-in the missing Effect B F value: (Points : 3) 16. Dr. Iforgot cannot seem to remember how to calculate an ANOVA. Complete the missing information in the ANOVA summary table below. ANOVA Summary Table Source SS
- 16. df MS F Effect A 5.04 1 Effect B 7.04 1 A X B 7.05 1 Within (S/AB) 16.83 20 .84 Total 35.96 23
- 17. Fill-in the missing A X B MS value: (Points : 3) 17. Dr. Iforgot cannot seem to remember how to calculate an ANOVA. Complete the missing information in the ANOVA summary table below. ANOVA Summary Table Source SS df MS F Effect A 5.04 1 Effect B 7.04 1 A X B 7.05 1
- 18. Within (S/AB) 16.83 20 .84 Total 35.96 23 Fill-in the missing A X B F value: (Points : 3) 18. Dr. Iforgot cannot seem to remember how to calculate an ANOVA. Complete the missing information in the ANOVA summary table below and answer the question that follows. ANOVA Summary Table Source SS df MS F Effect A 5.04
- 19. 1 Effect B 7.04 1 A X B 7.05 1 Within (S/AB) 16.83 20 .84 Total 35.96 23 What type of ANOVA? (Points : 5) 19. Dr. Iforgot cannot seem to remember how to calculate an ANOVA. Complete the missing information in the ANOVA summary table below and answer the question that follows. ANOVA Summary Table
- 20. Source SS df MS F Effect A 5.04 1 Effect B 7.04 1 A X B 7.05 1 Within (S/AB) 16.83 20 .84 Total 35.96
- 21. 23 Which effects are significant? (Points : 5) Question 2. Question 3. Question 4. Question 5. Question 6. Question 7. Question 8.
- 22. Question 9. Question 10. Question 11. Question 12. Question 13. Question 14. Question 15. Question 16. Question 17.