Encouraging Social Development in Children with Autism Spectrum DisorderCasey Wimsatt
UAB Presentation of Study Results from First Randomized Controlled Study of FaceSay. Published with permission of the author, Dr. Maria Hopkins, University of Alabama, Birmingham
In the initial stage, aspirants preparing for civil service exam are generally confused. Many of them are unsure on how to begin and what to study. They have numerous queries in their mind regarding exam eligibility, exam dates etc. Many are not sure if coaching is a must or not. But wrong guidance can cost any aspirant a lot of time and waste of money. Many coaching institutes are unsure how to properly guide students as per the latest requirements of the Union Public Service Commission (UPSC), leaving the student with poor coaching and low-quality study materials.
Basic college mathematics 8th edition by tobey slater blair crawford solution...tokahenrbar
link full download https://bit.ly/2I033GX
Language: English
ISBN-10: 0134178998
ISBN-13: 978-0134178998
ISBN-13: 9780134178998
Relate keywords:
solutions manual for Basic College Mathematics 8th Edition free download
Basic College Mathematics 8th Edition by Tobey download solutions manual
Basic College Mathematics 8th Edition by Tobey Slater download pdf
solutions manual for Basic College Mathematics 8th Edition by Tobey pdf
download solutions manual for Basic College Mathematics 8th Edition by Tobey
Measures of Central Tendency are numerical descriptive measures which indicate or locate the center of a distribution or data set.
Measures of Central Tendency
The MEAN
The MEDIAN
The MODE
The MEAN of a set of values or measurements is the sum of all the measurements divided by the number of measurements in the set.
It is sometimes called the ARITHMETIC MEAN
Population Mean Sample Mean
흁=(∑▒푿)/푵 풙 ̅=(∑▒풙)/풏
where N – total number of observations in the population
n – total number of observations in the sample
The MEDIAN is the middle value of the sample when the data are ranked in order according to size
The MODE is the value which occurs most frequently in a set of measurements or values.
The MEAN = The average
The MEDIAN = the number or average of the numbers in the middle
The MODE= the number that occurs the most.
Encouraging Social Development in Children with Autism Spectrum DisorderCasey Wimsatt
UAB Presentation of Study Results from First Randomized Controlled Study of FaceSay. Published with permission of the author, Dr. Maria Hopkins, University of Alabama, Birmingham
In the initial stage, aspirants preparing for civil service exam are generally confused. Many of them are unsure on how to begin and what to study. They have numerous queries in their mind regarding exam eligibility, exam dates etc. Many are not sure if coaching is a must or not. But wrong guidance can cost any aspirant a lot of time and waste of money. Many coaching institutes are unsure how to properly guide students as per the latest requirements of the Union Public Service Commission (UPSC), leaving the student with poor coaching and low-quality study materials.
Basic college mathematics 8th edition by tobey slater blair crawford solution...tokahenrbar
link full download https://bit.ly/2I033GX
Language: English
ISBN-10: 0134178998
ISBN-13: 978-0134178998
ISBN-13: 9780134178998
Relate keywords:
solutions manual for Basic College Mathematics 8th Edition free download
Basic College Mathematics 8th Edition by Tobey download solutions manual
Basic College Mathematics 8th Edition by Tobey Slater download pdf
solutions manual for Basic College Mathematics 8th Edition by Tobey pdf
download solutions manual for Basic College Mathematics 8th Edition by Tobey
Measures of Central Tendency are numerical descriptive measures which indicate or locate the center of a distribution or data set.
Measures of Central Tendency
The MEAN
The MEDIAN
The MODE
The MEAN of a set of values or measurements is the sum of all the measurements divided by the number of measurements in the set.
It is sometimes called the ARITHMETIC MEAN
Population Mean Sample Mean
흁=(∑▒푿)/푵 풙 ̅=(∑▒풙)/풏
where N – total number of observations in the population
n – total number of observations in the sample
The MEDIAN is the middle value of the sample when the data are ranked in order according to size
The MODE is the value which occurs most frequently in a set of measurements or values.
The MEAN = The average
The MEDIAN = the number or average of the numbers in the middle
The MODE= the number that occurs the most.
This presentation explains the procedure involved in two-way repeated measures ANOVA(within-within design). An illustration has been discussed by using the functionality of SPSS.
This is a presentation reporting the results of a study conducted at The University of New Orleans on the Effects of Self-Talk on the Level of Success in College Students.
Identify each of the following as examples of nominal, ordinal, inte.docxscuttsginette
Identify each of the following as examples of nominal, ordinal, interval, or ratio scales of measurement. (4 points each)
A poll of registered voters in Florida asking which candidate they support
The length of time required for a wound to heal when using a new medicine
The number of telephone calls arriving at a switchboard per five-minute period
The distance first-year college football players can kick a ball
Mental health diagnoses present in an elderly population
The rankings of employees on their job performance
(Points : 24)
Question 2.
2.
Two hundred raffle tickets are sold. Your friend has five people in her family who each bought two raffle tickets. What is the probability that someone from her family will win the raffle?
(Points : 4)
Question 3.
3.
Jolie has 45 minutes to do her statistics homework. If the mean is 38 minutes and the standard deviation is 3, calculate Jolie's z score. Once calculated, interpret your findings in terms of Jolie's performance.
(
HINT:
use the normal distribution and the probability that other students performed better or worse.) (Points : 8)
Question 4.
4.
A psychologist measures units of change for a memory test after students are given an opportunity to sleep only four hours. The following change units were obtained: 7, -12, 4, -7, 3, -10. Find the a) mean, b) median, c) mode, d) standard deviation, e) range, and f) variance. (Points : 24)
Question 5.
5.
A student scored 81 on a chemistry test and 75 on a history test. For the chemistry test, the mean was 70 and the standard deviation was 20. For the history test, the mean was 65 and the standard deviation was 8. Did the student do better on the chemistry test or the history test? Explain your answer. (Points : 12)
Question 6.
6.
Suppose you want to figure out what to do with your degree in psychology. You ask some fellow students from your psychology program who recently graduated to find out what they are doing with their degree and how much it pays. What type of sampling is this? What are the limitations of this sampling approach? (Points : 8)
Question 7.
7.
Variables in which the values are categories are known as (Points : 4)
Interval variables
Nominal variables
Ordinal variables
Ratio variables
Question 8.
8.
Before the researcher can conduct a statistical test, the research question must be translated into (Points : 4)
A testable hypothesis
Additional observations
Mathematical symbols
Numbers
Question 9.
9.
The hypothesis stating that there are no differences, effects, or relationships is (Points : 4)
The alternative hypothesis
The baseline hypothesis
The null hypothesis
The reasonable hypothesis
Question 10.
10.
A group of students made the following scores on a 10-item quiz in psychological statistics: {5, 6, 7, 7, 7, 8, 8, 9, 9, 10, 10} What is the mean score? (Points : 4)
6.6.
1) You want to compare improvement in depression scores on the PHQ-9.docxlindorffgarrik
1) You want to compare improvement in depression scores on the PHQ-9 Quick Depression Assessment (on a scale of 0-27 where 0 represents no depression and 27 represents severe depression) between one group of 35 teenagers who participate in a singing class and a second group of 38 teenagers who participate in a boxing class. Mean improvement in depression scores over a 2-month period are:
Change in depression score
Standard deviation
Singing Class
-5.72
1.43
Boxing Class
-8.46
2.19
What statistic will show you how much the boxing class reduced the teenagers’ depression scores?
a) R
b) R^2
c) r
d) r^2
e) p
f) X^2
g) d
h) F
i) t
2) Individuals experiencing depression were divided into three groups. Each group was counseled for different amounts of time (1 month, 6 months, or 12 months) to see how they scored on measures of psychological wellbeing.
What is the best test to find differences among the groups?
t-test of independent means
t-test of dependent means
ANOVA
Chi-square
Pearson r
3) You want to learn whether women named Sarah are more likely to have grown up in the Midwest and whether women named Sara are more likely to have grown up in the East.
What is the best test?
t-test of independent means
t-test of dependent means
ANOVA
Chi-square
Pearson r
4) You need to find whether different levels of happiness are associated with different levels of income.
What is the best test?
t-test of independent means
t-test of dependent means
ANOVA
Chi-square
Pearson r
5)
Which of these values in an ANOVA table is of greatest interest?
Mean squares.
The value of p.
The value of F.
6) If you read,
F
= 3.50,
df
= 2, 20,
p
< .05, what conclusion do you draw?
a) The means tested differed.
b) More than two groups or multiple measurement points were employed in the study.
c) The relationship tested is statistically significant.
d) All of the above.
e) None of the above.
7) Equating a significant difference with a large difference is a mistake.
True
False
8) In an experiment with a treatment and control group, what does
d
= 2 mean?
a) The average participant in the experimental group did two standard deviations better on some measure than the average participant in the control group.
b) The average participant in the experimental group did two standard deviations worse on some measure than the average participant in the control group.
9) A large effect size might represent an unimportant result
True or False
10) To determine whether Adderall enhances studying, you give the drug to a group of 14 students and engage another 14 students as a control group. Both groups then solve 40 mathematical problems. The lowest score students can receive is zero; the highest is 40. Students who took Adderall received these scores: 32, 25, 17, 12, 17, 22, 27, 30, 27, 21, 19, 25, 23, 28. Students in the control group received these scores: 33, 21, 14, 20, 36, 11, 32, 12, 15, 18, 19, 22, 14, 13
For the Adderall gr.
Wearing Pink Socks: The Effects of Feminine Objects on Physical SportsLan Tran
This is a self-funded research project by Lan Tran and Kristin Belessis, in fulfillment of the requirements for PSY 4013 Status, Power, and Dominance at Green Mountain College (VT).
Stats HomeworkChapter 12Please show all work. With each p.docxdessiechisomjj4
Stats Homework
Chapter 12
Please show all work. With each problem please do the correct Measure of Association (M of A) and the PRE that goes with the problem. Then tell me what you found.
1. The tables below report relationships between several variables and victimization of individuals. Compute the MofA for each and PRE.Please report what you found as to which groups experienced more victimization?
Sex
Victimized?
Male
Females
Totals
X2 = 4.31
Yes
10
21
31
No
31720
Totals
13
38
51
Age
Victimized?
21 & below
22 & above
Totals
X2 = 5.73
Yes
32
21
53
No
121628
Totals
44
37
81
Race
Victimized?
Black
White
Totals
X2 = 5.19
Yes
21
18
39
No
31922
Totals
24
37
61
2. A sociologist is researching public attitudes toward crime and is asking residents of his city if they think that the crime rate in their neighborhoods is rising. Is there a relationship between sex and the issue of crime rates, and is there one between race and the issue of crime rates? Compute the correct MofA and PRE.
Sex
Crime
Rate
Male
Female
Totals
X2 = 7.46
Rising
200
225
425
Stable
175
150
325
Falling
125125250
Totals
500
500
1000
Race
Crime
Rate
White
Black
Totals
X2 = 11.25
Rising
250
275
525
Stable
180
85
265
Falling
17040210
Totals
600
400
1000
Relevant Study Results
“The sample consisted of 23 men with a mean age of 42.2 years (SD = 8.2), length of time since
diagnosis with HIV was 9.2 years (SD = 5.3); and 17 women with a mean age of 36.8 years (SD = 5.2), and length of time since diagnosis with HIV was 7.2 years (SD = 4.8). For men, 23 were HIV-positive and 9 had a diagnosis of AIDS; and for women, 17 were HIV positive, and 5 had a diagnosis of AIDS. There was no significant difference in demographic characteristics of the sample by age, gender, HIV disease status, and time living with HIV.
Participants reported a net increase in weight from 3 months prior (M = 2.4 lb, SD = 12.9 lb) and
12 months prior (M = 10.9 lb, SD = 19.1 lb) and that their weight was greater than their ideal weight (M = 9.2 lb, SD = 22.9 lb). SDs for the data indicated a wide range on weight at both 3 and 12 months before participation in the study.
Body image scores (0–100 scale) were significantly (F(1, 37) = 5.41, p =.03) higher for women
(73.1 ± 17.0) than men (60.2 ± 17.0). Although HIV-positive participants had slightly higher body image scores (M = 68.0, SD = 17.0) compared with participants with AIDS (M = 60.5, SD = 18.8), there was no significant difference (F(1, 37) = 1.56, p =.22) in body image scores between [those with HIV and AIDS]. There was a weak, but significant, inverse association between body image score and weight changes from 3 months prior (r = −.30, p =.04). Body image and weight scores are summarized in Table 1” (Corless et al., 2004, p. 294).
Table 1 Body Image and weight measures for men and women..
This presentation explains the procedure involved in two-way repeated measures ANOVA(within-within design). An illustration has been discussed by using the functionality of SPSS.
This is a presentation reporting the results of a study conducted at The University of New Orleans on the Effects of Self-Talk on the Level of Success in College Students.
Identify each of the following as examples of nominal, ordinal, inte.docxscuttsginette
Identify each of the following as examples of nominal, ordinal, interval, or ratio scales of measurement. (4 points each)
A poll of registered voters in Florida asking which candidate they support
The length of time required for a wound to heal when using a new medicine
The number of telephone calls arriving at a switchboard per five-minute period
The distance first-year college football players can kick a ball
Mental health diagnoses present in an elderly population
The rankings of employees on their job performance
(Points : 24)
Question 2.
2.
Two hundred raffle tickets are sold. Your friend has five people in her family who each bought two raffle tickets. What is the probability that someone from her family will win the raffle?
(Points : 4)
Question 3.
3.
Jolie has 45 minutes to do her statistics homework. If the mean is 38 minutes and the standard deviation is 3, calculate Jolie's z score. Once calculated, interpret your findings in terms of Jolie's performance.
(
HINT:
use the normal distribution and the probability that other students performed better or worse.) (Points : 8)
Question 4.
4.
A psychologist measures units of change for a memory test after students are given an opportunity to sleep only four hours. The following change units were obtained: 7, -12, 4, -7, 3, -10. Find the a) mean, b) median, c) mode, d) standard deviation, e) range, and f) variance. (Points : 24)
Question 5.
5.
A student scored 81 on a chemistry test and 75 on a history test. For the chemistry test, the mean was 70 and the standard deviation was 20. For the history test, the mean was 65 and the standard deviation was 8. Did the student do better on the chemistry test or the history test? Explain your answer. (Points : 12)
Question 6.
6.
Suppose you want to figure out what to do with your degree in psychology. You ask some fellow students from your psychology program who recently graduated to find out what they are doing with their degree and how much it pays. What type of sampling is this? What are the limitations of this sampling approach? (Points : 8)
Question 7.
7.
Variables in which the values are categories are known as (Points : 4)
Interval variables
Nominal variables
Ordinal variables
Ratio variables
Question 8.
8.
Before the researcher can conduct a statistical test, the research question must be translated into (Points : 4)
A testable hypothesis
Additional observations
Mathematical symbols
Numbers
Question 9.
9.
The hypothesis stating that there are no differences, effects, or relationships is (Points : 4)
The alternative hypothesis
The baseline hypothesis
The null hypothesis
The reasonable hypothesis
Question 10.
10.
A group of students made the following scores on a 10-item quiz in psychological statistics: {5, 6, 7, 7, 7, 8, 8, 9, 9, 10, 10} What is the mean score? (Points : 4)
6.6.
1) You want to compare improvement in depression scores on the PHQ-9.docxlindorffgarrik
1) You want to compare improvement in depression scores on the PHQ-9 Quick Depression Assessment (on a scale of 0-27 where 0 represents no depression and 27 represents severe depression) between one group of 35 teenagers who participate in a singing class and a second group of 38 teenagers who participate in a boxing class. Mean improvement in depression scores over a 2-month period are:
Change in depression score
Standard deviation
Singing Class
-5.72
1.43
Boxing Class
-8.46
2.19
What statistic will show you how much the boxing class reduced the teenagers’ depression scores?
a) R
b) R^2
c) r
d) r^2
e) p
f) X^2
g) d
h) F
i) t
2) Individuals experiencing depression were divided into three groups. Each group was counseled for different amounts of time (1 month, 6 months, or 12 months) to see how they scored on measures of psychological wellbeing.
What is the best test to find differences among the groups?
t-test of independent means
t-test of dependent means
ANOVA
Chi-square
Pearson r
3) You want to learn whether women named Sarah are more likely to have grown up in the Midwest and whether women named Sara are more likely to have grown up in the East.
What is the best test?
t-test of independent means
t-test of dependent means
ANOVA
Chi-square
Pearson r
4) You need to find whether different levels of happiness are associated with different levels of income.
What is the best test?
t-test of independent means
t-test of dependent means
ANOVA
Chi-square
Pearson r
5)
Which of these values in an ANOVA table is of greatest interest?
Mean squares.
The value of p.
The value of F.
6) If you read,
F
= 3.50,
df
= 2, 20,
p
< .05, what conclusion do you draw?
a) The means tested differed.
b) More than two groups or multiple measurement points were employed in the study.
c) The relationship tested is statistically significant.
d) All of the above.
e) None of the above.
7) Equating a significant difference with a large difference is a mistake.
True
False
8) In an experiment with a treatment and control group, what does
d
= 2 mean?
a) The average participant in the experimental group did two standard deviations better on some measure than the average participant in the control group.
b) The average participant in the experimental group did two standard deviations worse on some measure than the average participant in the control group.
9) A large effect size might represent an unimportant result
True or False
10) To determine whether Adderall enhances studying, you give the drug to a group of 14 students and engage another 14 students as a control group. Both groups then solve 40 mathematical problems. The lowest score students can receive is zero; the highest is 40. Students who took Adderall received these scores: 32, 25, 17, 12, 17, 22, 27, 30, 27, 21, 19, 25, 23, 28. Students in the control group received these scores: 33, 21, 14, 20, 36, 11, 32, 12, 15, 18, 19, 22, 14, 13
For the Adderall gr.
Wearing Pink Socks: The Effects of Feminine Objects on Physical SportsLan Tran
This is a self-funded research project by Lan Tran and Kristin Belessis, in fulfillment of the requirements for PSY 4013 Status, Power, and Dominance at Green Mountain College (VT).
Stats HomeworkChapter 12Please show all work. With each p.docxdessiechisomjj4
Stats Homework
Chapter 12
Please show all work. With each problem please do the correct Measure of Association (M of A) and the PRE that goes with the problem. Then tell me what you found.
1. The tables below report relationships between several variables and victimization of individuals. Compute the MofA for each and PRE.Please report what you found as to which groups experienced more victimization?
Sex
Victimized?
Male
Females
Totals
X2 = 4.31
Yes
10
21
31
No
31720
Totals
13
38
51
Age
Victimized?
21 & below
22 & above
Totals
X2 = 5.73
Yes
32
21
53
No
121628
Totals
44
37
81
Race
Victimized?
Black
White
Totals
X2 = 5.19
Yes
21
18
39
No
31922
Totals
24
37
61
2. A sociologist is researching public attitudes toward crime and is asking residents of his city if they think that the crime rate in their neighborhoods is rising. Is there a relationship between sex and the issue of crime rates, and is there one between race and the issue of crime rates? Compute the correct MofA and PRE.
Sex
Crime
Rate
Male
Female
Totals
X2 = 7.46
Rising
200
225
425
Stable
175
150
325
Falling
125125250
Totals
500
500
1000
Race
Crime
Rate
White
Black
Totals
X2 = 11.25
Rising
250
275
525
Stable
180
85
265
Falling
17040210
Totals
600
400
1000
Relevant Study Results
“The sample consisted of 23 men with a mean age of 42.2 years (SD = 8.2), length of time since
diagnosis with HIV was 9.2 years (SD = 5.3); and 17 women with a mean age of 36.8 years (SD = 5.2), and length of time since diagnosis with HIV was 7.2 years (SD = 4.8). For men, 23 were HIV-positive and 9 had a diagnosis of AIDS; and for women, 17 were HIV positive, and 5 had a diagnosis of AIDS. There was no significant difference in demographic characteristics of the sample by age, gender, HIV disease status, and time living with HIV.
Participants reported a net increase in weight from 3 months prior (M = 2.4 lb, SD = 12.9 lb) and
12 months prior (M = 10.9 lb, SD = 19.1 lb) and that their weight was greater than their ideal weight (M = 9.2 lb, SD = 22.9 lb). SDs for the data indicated a wide range on weight at both 3 and 12 months before participation in the study.
Body image scores (0–100 scale) were significantly (F(1, 37) = 5.41, p =.03) higher for women
(73.1 ± 17.0) than men (60.2 ± 17.0). Although HIV-positive participants had slightly higher body image scores (M = 68.0, SD = 17.0) compared with participants with AIDS (M = 60.5, SD = 18.8), there was no significant difference (F(1, 37) = 1.56, p =.22) in body image scores between [those with HIV and AIDS]. There was a weak, but significant, inverse association between body image score and weight changes from 3 months prior (r = −.30, p =.04). Body image and weight scores are summarized in Table 1” (Corless et al., 2004, p. 294).
Table 1 Body Image and weight measures for men and women..
The role of individual education plans (IEPs) in post-primary schools in the transition planning process into post-secondary education (PSE) for individuals with an autism spectrum disorder
2. Experimentally examine the impact of
anticipated regret & exercise outcome
expectancies on exercise intentions
Identify gender differences, if any
Examine the explanatory power of the
Theory of Planned Behaviour
Use a hypothetical case study
Objectives
2
Jennifer
8. 10 out of 20 (F=12.0, M=12.5)
8
Exercise will improve my social
standing
1 2 3 4 5
Exercise will make me more at ease
with people
1 2 3 4 5
Exercise will provide
companionship
1 2 3 4 5
Exercise will increase my
acceptance by others
1 2 3 4 5
Strongly
disagree
Disagree Neutral Agree Strongly agree
Possible range (4-20) Midpoint = 12
18. 18
Conclusions & Future
Directions
Gender: Males significantly higher in
relation to control
TPB: Intentions & behaviour link
The experiment: Saliency might result
in exaggeration
Anticipated regret: Positively
influences intentions & behaviour
Expectations: Self-evaluation & social
outcome expectations have roles
The future: Larger scale study, health
promotion appeals, case study