SlideShare a Scribd company logo
1 of 13
1) The null and alternative hypotheses are giving. Determine
whether the hypothesis is left tailed; right tailed; or two tailed.
What parameter is being tested?
H0: p= 0.76
H1:p> 0.76
Chose the correct answer below
- Left tailed
-Right tailed
-Two tailed
What parameter is being tested?
a-σ
b-µ
c-p
2) Test the hypothesis using the classical approach and the P-
value approach.
H0: p=0.45 versus H1: p<0.45
n=150, x=62, a=0.05
a) Perform the test using the classical approach; choose the
correct answer below.
_Reject the null hypothesis
_There is not enough information to test the hypothesis
_Do not reject the null hypothesis
b) Perform the test using T-value approach.
P-value =………. (Round to four decimal places as needed)
Choose the correct answer below.
_ Reject the null hypothesis
_There is not enough information to test the hypothesis
_Do not reject the null hypothesis
3) In the poll 51% of the people polled answered yes to the
question “Are you in the favor of death venality for a person
convicted of murder?” The margin of error in the poll was 2%
and the estimate was made with 94% confidence. At least how
many people were surveyed?
The minimum number of surveyed people was ……… (Round up
to the nearest integer)
4) A simple random sample of size n is drawn from a population
that is normally distributed. The sample mean, x, is found to be
107, and the sample standard deviation, s, is found to be 10.
a- Construct a 95% confidence interval about µ if the sample
size, n, is 14
b- Construct a 95% confidence interval about µ if the sample
size, n, is 26
c- Construct a 96% confidence interval about µ if the sample
size, n, is 14
d-Could we have computed the confidence intervals in part (a)-
(c) if the population had not been normally distributed?
a- Construct a 95% confidence interval about µ if the sample
size, n, is 14
(……..),(……..) (use ascending order. Round to one decimal
place as needed)
b- Construct a 95% confidence interval about µ if the sample
size, n, is 26
(…….),(……...) (use ascending order. Round to one decimal
place as needed)
How does increasing he sample size affect the margin of error,
E?
a-As the sample size increases the margin of error stays the
same
b- As the sample size increases the margin of error decreases
c- As the sample size increases the margin of error increases
c- Construct a 96% confidence interval about µ if the sample
size, n, is 14
(…..),(…..) (use ascending order. Round to one decimal place as
needed)
Compare the results to those obtained in part (a) How does
increase the level of confidence affect the size f margin error?
a-As the percentage of confidence increases, the size of the
interval stay the same
b- As the percentage of confidence increases, the size of the
interval decreases
c- As the percentage of confidence increases, the size of the
interval increases
d-Could we have computed the confidence intervals in part (a)-
(c) if the population had not been normally distributed?
a-Yes, the population does not need to be normally distributed
b-No, the population needs to be normally distributed
c-Yes, the population needs to be normally distributed
d-No, the population does not need to be normally distributed
5) State the conclusion based on the results of the test.
According to the report, the mean monthly cell phone bill was
$48.52 three years ago. A researcher suspects that the mean
monthly cell phone bill is different today. The null hypothesis
is rejected.
Choose the correct answer below
a- There is sufficient evidence to conclude that the mean
monthly cell phone bill is different from its level three years
ago of $48.52.
b- There is sufficient evidence to conclude that the mean
monthly cell phone bill is higher than its level three years ago
of $48.52.
c- There is not sufficient evidence to conclude that the mean
monthly cell phone bill is different from its level three years
ago of $48.52.
6) Determine the point estimate of the population mean and
margin of error for the confidence interval.
Lower bound is 16, Upper bound is 28.
The point estimate of the population mean is ……….
The margin of error for the confidence interval is ………..
7) In a survey, 39% of the respondents stated that they talk to
their pets on the answering machine or telephone. A
veterinarian believed this result to be too high, so he randomly
selected 250 pets’ owners and discovered that 85 of them spoke
to their pet on the answering machine or telephone. Does he
veterinarian have a right to be skeptical? Use the a = 0.1 level
of significance. Does the veterinarian have a right to be
skeptical?
a- There is sufficient evidence to conclude that the true
proportion of the pet owners who talk to their pets on the
answering machine or telephone is 39%
b- There is not sufficient evidence to conclude that the true
proportion of the pet owners who talk to their pets on the
answering machine or telephone is 39%
c- There is not sufficient evidence to conclude that the true
proportion of the pet owners who talk to their pets on the
answering machine or telephone is less than 39%
d- There is sufficient evidence to conclude that the true
proportion of the pet owners who talk to their pets on the
answering machine or telephone is less than 39%
8) A real estate agent wants to estimate the average age of that
baying investment property in his area. He randomly selects 15
of his client who purchase investment properly and obtain the
data shown. Assume that σ = 10.2. Use this information to
answer the following questions.
50 56 55 47 39
31 40 62 62 49
35 55 39 61 56
Use a data to compute a point estimate for the population mean
age of real estate agent’s who purchased investment property.
………..(Round to three decimal places as needed)
The buyer ages are approximately normally distributed and the
sample does not contain any outlier. Construct a 95%
confidence interval for the mean age for all the real estate
agent’s clients who purchased investment properly.
(…….),(……) (used ascending order. Round to one decimal
place as needed)
Interprets this interval
a- We are 95% confidence that the interval actually does
contain the true value of the mean.
b- We are 95% confidence that the interval actually does not
contain the true value of the mean.
c- We are 95% chance that a true value of the mean will fall in
the interval.
d- We are 95% chance that a true value of the mean will not fall
in the interval.
9) It has long been stated that the mean temperature of human is
98.6 Degree F. However, two researchers currently involved in
the subject thought that the mean temperature of the sample
mean is less than 98.6 degree F. The measure the temperature of
148 healthy adults 1 to 4 times daily for 3 days, obtaining 700
measurements. The sample data resulted in a sample of mean of
97.7 degree F. and the sample standard deviation of 0,6 degree
F.
a-Using the classical approach, judge whether the mean
temperature of human is less than 98.6 degree F. at the a = 0.01
level of significance.
b-Approximately the P-value.
(a) Choose the correct answer below.
a- Reject H0 since the test statistic is less than the critical value
b- Do not Reject H0 since the test statistic is not less than the
critical value
c- Do not Reject H0 since the test statistic is less than the
critical value
d- Reject H0 since the test statistic is not less than the critical
value
(b) The P-value is approximately …….. (Round to four decimal
place as needed)
10) A researcher is interested in approximately the mean
number of miles on 4 year old cars of a certain make and model.
She finds a random of 12 such cars in her city and obtains the
results shoen.
45,335 29,005 51,003 44,414
47,974 57,144 30,440 46,171
30,110 54,003 38,797 41,437
Assume that the number of miles driven is normally distributed.
(a) Obtain the point estimate for the population mean number of
miles on 4year old car of the same make and model. X= ………
(Round to one decimal place as needed).
(b) Construct and interpret a 90% confidence interval for the
population mean number of miles on 4 years old car of same
make and model. Assume σ =19,900.
A 90% confidence interval of the population mean number of
miles on 4 year old car of the same make and model is
(……),(…….). (Use ascending order. Round to the nearest
integer)
Choose the correct interpretation of the
confidence interval.
a-The researcher is 90% confident that the mean
number of miles is not in the interval.
b- The researcher is 90% confident that the
mean number of miles is within the interval.
c-The probability that the interval contains the mean
number of miles is 90%.
d- The probability that the interval does not contain the
mean number of miles is 90%.
(c) Construct and interpret a 99% confidence interval for the
population mean number of miles on a 4 year old car of the
same make and model is (…..),(……). (use ascending order.
Round to the nearest integer needed).
Choose the correct interpretation of the confidence interval.
a-The probability that the interval does not contain the mean
number of miles is 99%.
b-The researcher is 99% confidence that the mean number of
miles is not in the interval.
c- The researcher is 99% confidence that the mean number of
miles is within the interval.
d- The probability that the interval contains the mean number of
miles is 99%.
(d) What effect does increasing the level of confidence have on
the interval?
· The width of the interval decreases.
· The width ot the interval increases.
(e) Do the confidence intervals computed in parts (b) and (c)
represent an estimate for the population mean number of miles
on that specific make and model in the country? Why?
a-Yes because the simple size is larger enough, the results can
be generalized to the entire country.
b-Yes because the researcher simple all cars of the same age,
make and model the results can be generalized to the entire
country.
c-No because the researcher only sampled cars in her own city,
the results cannot be generalized to the entire country.
d- No because the researcher simple all cars of the same age,
make and model the results can be generalized to the entire
country.
11) To test H0: µ=100 versus H1:≠100, a random sample of size
n=32 is obtained from a population that is known to be normally
distributed with σ=11.
(a) Does the population need to be normally distributed to
compute the P-value?
(b) If the sample mean is determined to be x=97.2, compute the
P-value.
(c) If the researcher decides to test this hypothesis at the a=0,02
level significance, will the researcher reject the null
hypothesis?
(a)Does the population need to be normally distributed to
compute the P-value?
a-The population need to be normally distributed to compute the
P-value since the sample size is less than 30.
b-The population must be normally distributed to computed the
P-value, regardless of the sample size.
c- The population does not need to be normally distributed to
compute the P-value since the sample size is less than 30.
(b)Compute the P-value. Select the correct choice below and fill
in any answer boxes in your choice.
a- P-value= ……..(Round to four decimal place as needed).
b- The P-value cannot be computed.
(c)Will the researcher reject the null hypothesis?
a-No because the P-value is less than the level of significance.
b- No because the P-value is greater than the level of
significance.
c- Yes because the P-value is greater than the level of
significance.
d- Yes because the P-value is less than the level of significance.
e-It is undetermined; the P-value could not be computed.
12) (a) Determine the null and the alternative hypotheses, (b)
explain what it would mean to make a type I error, (c) explain
what it would mean to make a type II error.
Three years ago, the mean price of a single family home was
$243,771. A real estate broker believes that the mean price has
increased since then.
(a)Which of the following is the hypothesis test to be
conducted?
A- H0: µ= $243,771; H1: µ> $243,771
B- H0: µ= $243,771; H1: µ ≠ $243,771
C- H0: µ= $243,771; H1: µ< $243,771
(b)Which of the following is a type I error?
a-The broker rejects hypothesis that the mean price is $243,771,
when it is the true mean cost.
b- The broker rejects hypothesis that the mean price is
$243,771, when the true mean price is greater than $243,771.
c- The broker fails to reject hypothesis that the mean price is
$243,771, when the true mean price is greater than $243,771.
(c)Which of the following is the type II error?
a- The broker rejects hypothesis that the mean price is
$243,771, when it is the true mean cost.
b- The broker fails to reject hypothesis that the mean price is
$243,771, when the true mean price is greater than $243,771.
c- The broker fails to reject hypothesis that the mean price is
$243,771, when it is the true mean cost.
(13) The mean consumption of the fruit three years ago was
97.7 pounds. A dietician believes that the fruit consumption has
risen since then.
(a)Determine the null and alternative hypotheses. Which of the
following is correct?
A-H0: µ= 97.7; H1: µ ≠97.7
B- H0: µ= 97.7; H1: µ < 97.7
C- H0: µ= 97.7; H1: µ> 97.7
(b)Supposed the sample data indicate the null hypothesis should
be rejected. State the conclusion of the researcher. Which of the
following is the conclusion that could be reached?
a-There is not sufficient evidence to conclude that the mean
consumption of the fruit has risen.
b- There is not sufficient evidence to conclude that the mean
consumption of the fruit has stayed the same.
c-There is sufficient evidence to conclude that the mean
consumption of the fruit has stayed the same.
d-There is sufficient evidence to conclude that the mean
consumption of the fruit has risen.
(c)Supposed, in fact, the mean consumption of the fruits is 97.7
pounds. Did the researcher commit a type I or type II error?
a-The researcher committed a type II error because he accepted
the alternative hypothesis when the mean hypothesis was true.
b- The researcher committed a type II error because he rejected
the null hypothesis when it was true.
c- The researcher committed a type I error because he accepted
the alternative hypothesis when the mean hypothesis was true.
d- The researcher committed a type I error because he rejected
the null hypothesis when it was true.
If we tested this hypothesis at the a= 0.02 level of significance,
what is the probability of committing this error? (……….)
(14) A simple random sample of size n is drawn. The
sample mean, x, is found to be 18.2, and the sample standard
deviation, s, is found to be 4.5.
(a)Construct a 95% confidence interval about µ if the sample
size, n, is 34.
The confidence interval is (……), (…….). (Use ascending order.
Round to two decimal places as needed)
(b) Construct a 95% confidence interval about µ if the sample
size, n, is 51.
The confidence interval is (……), (…….). (Use ascending order.
Round to two decimal places as needed)
How does increase the sample size affect the margin of error,
E?
a-The margin of error does not change.
b-The margin of error increases.
c-The margin of error decreases.
(c)Construct a 99% confidence interval about µ if the sample
size, n, is 34.
The confidence interval is (……), (…….). (Use ascending order.
Round to two decimal places as needed)
Compare the result to those obtain in part (a). How does
increasing the level of confidence affect the size of margin of
error, E?
a-The margin error increases.
b-The margin error does not change
c-The margin error decreases.
(d)If the sample size is 17, what conditions must be satisfied the
confidence interval?
a-The sample data must come from a population that is normally
distributed with outlier.
b- The sample must come from a population that is normally
distributed and the sample size must be large.
c- The sample size must be large and the sample should not
have any outlier.
15) An agriculture researcher is interested in estimating the
mean length of the growing season in a region. Treating the last
10 years as a simple random sample, he obtains the following
data, which represent the number of days of the growing season.
151 159 145 147 163 193 187 175 164 155
(a) Because the sample size is small, we must verify that the
data come from a population that is normally distributed and
that the sample size does not contain any outliers. The normal
probability plot and boxplot are shown bellow.
Are the conditions for constructing a confidence interval about
the mean satisfied?
100
Percentage
80 250 130 230
Days Days
a- No the population is not normal
b- Yes, both condition are met
c- No, neither condition is met
d- No there are outliers
(b) Construct a 95% confidence interval for the mean length of
the growing season in the region.
(……),(……). (Use ascending order. Round to two decimal
places as needed.)
(c) What could be done to increase the accuracy of interval,
assuming the researcher does not have access to additional data?
a-The researcher could increase the sample mean.
b-The researcher could increase the level of confidence.
c- The researcher could decrease the level of confidence.
d- The researcher could decrease the sample standard deviation.
1)  The null and alternative hypotheses are giving. Determine whet.docx

More Related Content

Similar to 1) The null and alternative hypotheses are giving. Determine whet.docx

InstructionDue Date 6 pm on October 28 (Wed)Part IProbability a.docx
InstructionDue Date 6 pm on October 28 (Wed)Part IProbability a.docxInstructionDue Date 6 pm on October 28 (Wed)Part IProbability a.docx
InstructionDue Date 6 pm on October 28 (Wed)Part IProbability a.docxdirkrplav
 
As mentioned earlier, the mid-term will have conceptual and quanti.docx
As mentioned earlier, the mid-term will have conceptual and quanti.docxAs mentioned earlier, the mid-term will have conceptual and quanti.docx
As mentioned earlier, the mid-term will have conceptual and quanti.docxfredharris32
 
1.Two normal distributions are compared. One has a mean of 10 an.docx
1.Two normal distributions are compared. One has a mean of 10 an.docx1.Two normal distributions are compared. One has a mean of 10 an.docx
1.Two normal distributions are compared. One has a mean of 10 an.docxhyacinthshackley2629
 
Res 341 final exam
Res 341 final examRes 341 final exam
Res 341 final examnbvyut9878
 
Res 341 final exam
Res 341 final examRes 341 final exam
Res 341 final exammn8676766
 
Page 1 of 10  ClassTime_______________Day_____________.docx
Page 1 of 10  ClassTime_______________Day_____________.docxPage 1 of 10  ClassTime_______________Day_____________.docx
Page 1 of 10  ClassTime_______________Day_____________.docxalfred4lewis58146
 
The director of admissions at Kinzua University in Nova Scotia est.docx
The director of admissions at Kinzua University in Nova Scotia est.docxThe director of admissions at Kinzua University in Nova Scotia est.docx
The director of admissions at Kinzua University in Nova Scotia est.docxmehek4
 
Res 341 final exam
Res 341 final examRes 341 final exam
Res 341 final examsmith54655
 
Res 341 final exam
Res 341 final examRes 341 final exam
Res 341 final examhgfyr767678
 
Question 17 of 402.5 PointsA long-distance telephone company cla.docx
Question 17 of 402.5 PointsA long-distance telephone company cla.docxQuestion 17 of 402.5 PointsA long-distance telephone company cla.docx
Question 17 of 402.5 PointsA long-distance telephone company cla.docxteofilapeerless
 

Similar to 1) The null and alternative hypotheses are giving. Determine whet.docx (12)

InstructionDue Date 6 pm on October 28 (Wed)Part IProbability a.docx
InstructionDue Date 6 pm on October 28 (Wed)Part IProbability a.docxInstructionDue Date 6 pm on October 28 (Wed)Part IProbability a.docx
InstructionDue Date 6 pm on October 28 (Wed)Part IProbability a.docx
 
As mentioned earlier, the mid-term will have conceptual and quanti.docx
As mentioned earlier, the mid-term will have conceptual and quanti.docxAs mentioned earlier, the mid-term will have conceptual and quanti.docx
As mentioned earlier, the mid-term will have conceptual and quanti.docx
 
1.Two normal distributions are compared. One has a mean of 10 an.docx
1.Two normal distributions are compared. One has a mean of 10 an.docx1.Two normal distributions are compared. One has a mean of 10 an.docx
1.Two normal distributions are compared. One has a mean of 10 an.docx
 
Math 533 final exam set 2
Math 533 final exam set 2Math 533 final exam set 2
Math 533 final exam set 2
 
Res 341 final exam
Res 341 final examRes 341 final exam
Res 341 final exam
 
Res 341 final exam
Res 341 final examRes 341 final exam
Res 341 final exam
 
Page 1 of 10  ClassTime_______________Day_____________.docx
Page 1 of 10  ClassTime_______________Day_____________.docxPage 1 of 10  ClassTime_______________Day_____________.docx
Page 1 of 10  ClassTime_______________Day_____________.docx
 
The director of admissions at Kinzua University in Nova Scotia est.docx
The director of admissions at Kinzua University in Nova Scotia est.docxThe director of admissions at Kinzua University in Nova Scotia est.docx
The director of admissions at Kinzua University in Nova Scotia est.docx
 
Res 341 final exam
Res 341 final examRes 341 final exam
Res 341 final exam
 
Res 341 final exam
Res 341 final examRes 341 final exam
Res 341 final exam
 
Question 17 of 402.5 PointsA long-distance telephone company cla.docx
Question 17 of 402.5 PointsA long-distance telephone company cla.docxQuestion 17 of 402.5 PointsA long-distance telephone company cla.docx
Question 17 of 402.5 PointsA long-distance telephone company cla.docx
 
Mock 2015
Mock 2015Mock 2015
Mock 2015
 

More from dorishigh

Cyber War versus Cyber Realities Cyber War v.docx
Cyber War versus Cyber Realities Cyber War v.docxCyber War versus Cyber Realities Cyber War v.docx
Cyber War versus Cyber Realities Cyber War v.docxdorishigh
 
Cyber terrorism, by definition, is the politically motivated use.docx
Cyber terrorism, by definition, is the politically motivated use.docxCyber terrorism, by definition, is the politically motivated use.docx
Cyber terrorism, by definition, is the politically motivated use.docxdorishigh
 
Cyber Security ThreatsYassir NourDr. Fonda IngramETCS-690 .docx
Cyber Security ThreatsYassir NourDr. Fonda IngramETCS-690 .docxCyber Security ThreatsYassir NourDr. Fonda IngramETCS-690 .docx
Cyber Security ThreatsYassir NourDr. Fonda IngramETCS-690 .docxdorishigh
 
Cyber Security in Industry 4.0Cyber Security in Industry 4.0 (.docx
Cyber Security in Industry 4.0Cyber Security in Industry 4.0 (.docxCyber Security in Industry 4.0Cyber Security in Industry 4.0 (.docx
Cyber Security in Industry 4.0Cyber Security in Industry 4.0 (.docxdorishigh
 
Cyber Security and the Internet of ThingsVulnerabilities, T.docx
Cyber Security and the Internet of ThingsVulnerabilities, T.docxCyber Security and the Internet of ThingsVulnerabilities, T.docx
Cyber Security and the Internet of ThingsVulnerabilities, T.docxdorishigh
 
Cyber Security Gone too farCarlos Diego LimaExce.docx
Cyber Security Gone too farCarlos Diego LimaExce.docxCyber Security Gone too farCarlos Diego LimaExce.docx
Cyber Security Gone too farCarlos Diego LimaExce.docxdorishigh
 
CW 1R Checklist and Feedback Sheet Student Copy Go through this.docx
CW 1R Checklist and Feedback Sheet Student Copy Go through this.docxCW 1R Checklist and Feedback Sheet Student Copy Go through this.docx
CW 1R Checklist and Feedback Sheet Student Copy Go through this.docxdorishigh
 
CW 1 Car Industry and AIby Victoria StephensonSubmission.docx
CW 1 Car Industry and AIby Victoria StephensonSubmission.docxCW 1 Car Industry and AIby Victoria StephensonSubmission.docx
CW 1 Car Industry and AIby Victoria StephensonSubmission.docxdorishigh
 
CWTS CWFT Module 7 Chapter 2 Eco-maps 1 ECO-MAPS .docx
CWTS CWFT Module 7 Chapter 2 Eco-maps 1 ECO-MAPS .docxCWTS CWFT Module 7 Chapter 2 Eco-maps 1 ECO-MAPS .docx
CWTS CWFT Module 7 Chapter 2 Eco-maps 1 ECO-MAPS .docxdorishigh
 
Cw2 Marking Rubric Managerial Finance0Fail2(1-29) Fail.docx
Cw2 Marking Rubric Managerial Finance0Fail2(1-29) Fail.docxCw2 Marking Rubric Managerial Finance0Fail2(1-29) Fail.docx
Cw2 Marking Rubric Managerial Finance0Fail2(1-29) Fail.docxdorishigh
 
Cyber AttacksProtecting National Infrastructure, 1st ed.Ch.docx
Cyber AttacksProtecting National Infrastructure, 1st ed.Ch.docxCyber AttacksProtecting National Infrastructure, 1st ed.Ch.docx
Cyber AttacksProtecting National Infrastructure, 1st ed.Ch.docxdorishigh
 
CVPSales price per unit$75.00Variable Cost per unit$67.00Fixed C.docx
CVPSales price per unit$75.00Variable Cost per unit$67.00Fixed C.docxCVPSales price per unit$75.00Variable Cost per unit$67.00Fixed C.docx
CVPSales price per unit$75.00Variable Cost per unit$67.00Fixed C.docxdorishigh
 
CYB207 v2Wk 4 – Assignment TemplateCYB205 v2Page 2 of 2.docx
CYB207 v2Wk 4 – Assignment TemplateCYB205 v2Page 2 of 2.docxCYB207 v2Wk 4 – Assignment TemplateCYB205 v2Page 2 of 2.docx
CYB207 v2Wk 4 – Assignment TemplateCYB205 v2Page 2 of 2.docxdorishigh
 
CUSTOMERSERVICE-TRAINIGPROGRAM 2 TA.docx
CUSTOMERSERVICE-TRAINIGPROGRAM 2  TA.docxCUSTOMERSERVICE-TRAINIGPROGRAM 2  TA.docx
CUSTOMERSERVICE-TRAINIGPROGRAM 2 TA.docxdorishigh
 
Customer Service Test (Chapter 6 - 10)Name Multiple Choice.docx
Customer Service Test (Chapter 6 - 10)Name Multiple Choice.docxCustomer Service Test (Chapter 6 - 10)Name Multiple Choice.docx
Customer Service Test (Chapter 6 - 10)Name Multiple Choice.docxdorishigh
 
Customer Value Funnel Questions1. Identify the relevant .docx
Customer Value Funnel Questions1. Identify the relevant .docxCustomer Value Funnel Questions1. Identify the relevant .docx
Customer Value Funnel Questions1. Identify the relevant .docxdorishigh
 
Customer service is something that we have all heard of and have som.docx
Customer service is something that we have all heard of and have som.docxCustomer service is something that we have all heard of and have som.docx
Customer service is something that we have all heard of and have som.docxdorishigh
 
Customer requests areProposed Cloud Architecture (5 pages n.docx
Customer requests areProposed Cloud Architecture (5 pages n.docxCustomer requests areProposed Cloud Architecture (5 pages n.docx
Customer requests areProposed Cloud Architecture (5 pages n.docxdorishigh
 
Customer Relationship Management Presented ByShan Gu Cris.docx
Customer Relationship Management Presented ByShan Gu Cris.docxCustomer Relationship Management Presented ByShan Gu Cris.docx
Customer Relationship Management Presented ByShan Gu Cris.docxdorishigh
 
Custom Vans Inc. Custom Vans Inc. specializes in converting st.docx
Custom Vans Inc. Custom Vans Inc. specializes in converting st.docxCustom Vans Inc. Custom Vans Inc. specializes in converting st.docx
Custom Vans Inc. Custom Vans Inc. specializes in converting st.docxdorishigh
 

More from dorishigh (20)

Cyber War versus Cyber Realities Cyber War v.docx
Cyber War versus Cyber Realities Cyber War v.docxCyber War versus Cyber Realities Cyber War v.docx
Cyber War versus Cyber Realities Cyber War v.docx
 
Cyber terrorism, by definition, is the politically motivated use.docx
Cyber terrorism, by definition, is the politically motivated use.docxCyber terrorism, by definition, is the politically motivated use.docx
Cyber terrorism, by definition, is the politically motivated use.docx
 
Cyber Security ThreatsYassir NourDr. Fonda IngramETCS-690 .docx
Cyber Security ThreatsYassir NourDr. Fonda IngramETCS-690 .docxCyber Security ThreatsYassir NourDr. Fonda IngramETCS-690 .docx
Cyber Security ThreatsYassir NourDr. Fonda IngramETCS-690 .docx
 
Cyber Security in Industry 4.0Cyber Security in Industry 4.0 (.docx
Cyber Security in Industry 4.0Cyber Security in Industry 4.0 (.docxCyber Security in Industry 4.0Cyber Security in Industry 4.0 (.docx
Cyber Security in Industry 4.0Cyber Security in Industry 4.0 (.docx
 
Cyber Security and the Internet of ThingsVulnerabilities, T.docx
Cyber Security and the Internet of ThingsVulnerabilities, T.docxCyber Security and the Internet of ThingsVulnerabilities, T.docx
Cyber Security and the Internet of ThingsVulnerabilities, T.docx
 
Cyber Security Gone too farCarlos Diego LimaExce.docx
Cyber Security Gone too farCarlos Diego LimaExce.docxCyber Security Gone too farCarlos Diego LimaExce.docx
Cyber Security Gone too farCarlos Diego LimaExce.docx
 
CW 1R Checklist and Feedback Sheet Student Copy Go through this.docx
CW 1R Checklist and Feedback Sheet Student Copy Go through this.docxCW 1R Checklist and Feedback Sheet Student Copy Go through this.docx
CW 1R Checklist and Feedback Sheet Student Copy Go through this.docx
 
CW 1 Car Industry and AIby Victoria StephensonSubmission.docx
CW 1 Car Industry and AIby Victoria StephensonSubmission.docxCW 1 Car Industry and AIby Victoria StephensonSubmission.docx
CW 1 Car Industry and AIby Victoria StephensonSubmission.docx
 
CWTS CWFT Module 7 Chapter 2 Eco-maps 1 ECO-MAPS .docx
CWTS CWFT Module 7 Chapter 2 Eco-maps 1 ECO-MAPS .docxCWTS CWFT Module 7 Chapter 2 Eco-maps 1 ECO-MAPS .docx
CWTS CWFT Module 7 Chapter 2 Eco-maps 1 ECO-MAPS .docx
 
Cw2 Marking Rubric Managerial Finance0Fail2(1-29) Fail.docx
Cw2 Marking Rubric Managerial Finance0Fail2(1-29) Fail.docxCw2 Marking Rubric Managerial Finance0Fail2(1-29) Fail.docx
Cw2 Marking Rubric Managerial Finance0Fail2(1-29) Fail.docx
 
Cyber AttacksProtecting National Infrastructure, 1st ed.Ch.docx
Cyber AttacksProtecting National Infrastructure, 1st ed.Ch.docxCyber AttacksProtecting National Infrastructure, 1st ed.Ch.docx
Cyber AttacksProtecting National Infrastructure, 1st ed.Ch.docx
 
CVPSales price per unit$75.00Variable Cost per unit$67.00Fixed C.docx
CVPSales price per unit$75.00Variable Cost per unit$67.00Fixed C.docxCVPSales price per unit$75.00Variable Cost per unit$67.00Fixed C.docx
CVPSales price per unit$75.00Variable Cost per unit$67.00Fixed C.docx
 
CYB207 v2Wk 4 – Assignment TemplateCYB205 v2Page 2 of 2.docx
CYB207 v2Wk 4 – Assignment TemplateCYB205 v2Page 2 of 2.docxCYB207 v2Wk 4 – Assignment TemplateCYB205 v2Page 2 of 2.docx
CYB207 v2Wk 4 – Assignment TemplateCYB205 v2Page 2 of 2.docx
 
CUSTOMERSERVICE-TRAINIGPROGRAM 2 TA.docx
CUSTOMERSERVICE-TRAINIGPROGRAM 2  TA.docxCUSTOMERSERVICE-TRAINIGPROGRAM 2  TA.docx
CUSTOMERSERVICE-TRAINIGPROGRAM 2 TA.docx
 
Customer Service Test (Chapter 6 - 10)Name Multiple Choice.docx
Customer Service Test (Chapter 6 - 10)Name Multiple Choice.docxCustomer Service Test (Chapter 6 - 10)Name Multiple Choice.docx
Customer Service Test (Chapter 6 - 10)Name Multiple Choice.docx
 
Customer Value Funnel Questions1. Identify the relevant .docx
Customer Value Funnel Questions1. Identify the relevant .docxCustomer Value Funnel Questions1. Identify the relevant .docx
Customer Value Funnel Questions1. Identify the relevant .docx
 
Customer service is something that we have all heard of and have som.docx
Customer service is something that we have all heard of and have som.docxCustomer service is something that we have all heard of and have som.docx
Customer service is something that we have all heard of and have som.docx
 
Customer requests areProposed Cloud Architecture (5 pages n.docx
Customer requests areProposed Cloud Architecture (5 pages n.docxCustomer requests areProposed Cloud Architecture (5 pages n.docx
Customer requests areProposed Cloud Architecture (5 pages n.docx
 
Customer Relationship Management Presented ByShan Gu Cris.docx
Customer Relationship Management Presented ByShan Gu Cris.docxCustomer Relationship Management Presented ByShan Gu Cris.docx
Customer Relationship Management Presented ByShan Gu Cris.docx
 
Custom Vans Inc. Custom Vans Inc. specializes in converting st.docx
Custom Vans Inc. Custom Vans Inc. specializes in converting st.docxCustom Vans Inc. Custom Vans Inc. specializes in converting st.docx
Custom Vans Inc. Custom Vans Inc. specializes in converting st.docx
 

Recently uploaded

Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxRoyAbrique
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
MENTAL STATUS EXAMINATION format.docx
MENTAL     STATUS EXAMINATION format.docxMENTAL     STATUS EXAMINATION format.docx
MENTAL STATUS EXAMINATION format.docxPoojaSen20
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Celine George
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...M56BOOKSTORE PRODUCT/SERVICE
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 

Recently uploaded (20)

Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
MENTAL STATUS EXAMINATION format.docx
MENTAL     STATUS EXAMINATION format.docxMENTAL     STATUS EXAMINATION format.docx
MENTAL STATUS EXAMINATION format.docx
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 

1) The null and alternative hypotheses are giving. Determine whet.docx

  • 1. 1) The null and alternative hypotheses are giving. Determine whether the hypothesis is left tailed; right tailed; or two tailed. What parameter is being tested? H0: p= 0.76 H1:p> 0.76 Chose the correct answer below - Left tailed -Right tailed -Two tailed What parameter is being tested? a-σ b-µ c-p 2) Test the hypothesis using the classical approach and the P- value approach. H0: p=0.45 versus H1: p<0.45 n=150, x=62, a=0.05 a) Perform the test using the classical approach; choose the correct answer below. _Reject the null hypothesis _There is not enough information to test the hypothesis _Do not reject the null hypothesis b) Perform the test using T-value approach. P-value =………. (Round to four decimal places as needed) Choose the correct answer below. _ Reject the null hypothesis _There is not enough information to test the hypothesis _Do not reject the null hypothesis
  • 2. 3) In the poll 51% of the people polled answered yes to the question “Are you in the favor of death venality for a person convicted of murder?” The margin of error in the poll was 2% and the estimate was made with 94% confidence. At least how many people were surveyed? The minimum number of surveyed people was ……… (Round up to the nearest integer) 4) A simple random sample of size n is drawn from a population that is normally distributed. The sample mean, x, is found to be 107, and the sample standard deviation, s, is found to be 10. a- Construct a 95% confidence interval about µ if the sample size, n, is 14 b- Construct a 95% confidence interval about µ if the sample size, n, is 26 c- Construct a 96% confidence interval about µ if the sample size, n, is 14 d-Could we have computed the confidence intervals in part (a)- (c) if the population had not been normally distributed? a- Construct a 95% confidence interval about µ if the sample size, n, is 14 (……..),(……..) (use ascending order. Round to one decimal place as needed) b- Construct a 95% confidence interval about µ if the sample size, n, is 26 (…….),(……...) (use ascending order. Round to one decimal place as needed) How does increasing he sample size affect the margin of error, E? a-As the sample size increases the margin of error stays the same b- As the sample size increases the margin of error decreases c- As the sample size increases the margin of error increases
  • 3. c- Construct a 96% confidence interval about µ if the sample size, n, is 14 (…..),(…..) (use ascending order. Round to one decimal place as needed) Compare the results to those obtained in part (a) How does increase the level of confidence affect the size f margin error? a-As the percentage of confidence increases, the size of the interval stay the same b- As the percentage of confidence increases, the size of the interval decreases c- As the percentage of confidence increases, the size of the interval increases d-Could we have computed the confidence intervals in part (a)- (c) if the population had not been normally distributed? a-Yes, the population does not need to be normally distributed b-No, the population needs to be normally distributed c-Yes, the population needs to be normally distributed d-No, the population does not need to be normally distributed 5) State the conclusion based on the results of the test. According to the report, the mean monthly cell phone bill was $48.52 three years ago. A researcher suspects that the mean monthly cell phone bill is different today. The null hypothesis is rejected. Choose the correct answer below a- There is sufficient evidence to conclude that the mean monthly cell phone bill is different from its level three years ago of $48.52. b- There is sufficient evidence to conclude that the mean monthly cell phone bill is higher than its level three years ago of $48.52. c- There is not sufficient evidence to conclude that the mean monthly cell phone bill is different from its level three years ago of $48.52.
  • 4. 6) Determine the point estimate of the population mean and margin of error for the confidence interval. Lower bound is 16, Upper bound is 28. The point estimate of the population mean is ………. The margin of error for the confidence interval is ……….. 7) In a survey, 39% of the respondents stated that they talk to their pets on the answering machine or telephone. A veterinarian believed this result to be too high, so he randomly selected 250 pets’ owners and discovered that 85 of them spoke to their pet on the answering machine or telephone. Does he veterinarian have a right to be skeptical? Use the a = 0.1 level of significance. Does the veterinarian have a right to be skeptical? a- There is sufficient evidence to conclude that the true proportion of the pet owners who talk to their pets on the answering machine or telephone is 39% b- There is not sufficient evidence to conclude that the true proportion of the pet owners who talk to their pets on the answering machine or telephone is 39% c- There is not sufficient evidence to conclude that the true proportion of the pet owners who talk to their pets on the answering machine or telephone is less than 39% d- There is sufficient evidence to conclude that the true proportion of the pet owners who talk to their pets on the answering machine or telephone is less than 39% 8) A real estate agent wants to estimate the average age of that baying investment property in his area. He randomly selects 15 of his client who purchase investment properly and obtain the data shown. Assume that σ = 10.2. Use this information to answer the following questions. 50 56 55 47 39 31 40 62 62 49 35 55 39 61 56
  • 5. Use a data to compute a point estimate for the population mean age of real estate agent’s who purchased investment property. ………..(Round to three decimal places as needed) The buyer ages are approximately normally distributed and the sample does not contain any outlier. Construct a 95% confidence interval for the mean age for all the real estate agent’s clients who purchased investment properly. (…….),(……) (used ascending order. Round to one decimal place as needed) Interprets this interval a- We are 95% confidence that the interval actually does contain the true value of the mean. b- We are 95% confidence that the interval actually does not contain the true value of the mean. c- We are 95% chance that a true value of the mean will fall in the interval. d- We are 95% chance that a true value of the mean will not fall in the interval. 9) It has long been stated that the mean temperature of human is 98.6 Degree F. However, two researchers currently involved in the subject thought that the mean temperature of the sample mean is less than 98.6 degree F. The measure the temperature of 148 healthy adults 1 to 4 times daily for 3 days, obtaining 700 measurements. The sample data resulted in a sample of mean of 97.7 degree F. and the sample standard deviation of 0,6 degree F. a-Using the classical approach, judge whether the mean temperature of human is less than 98.6 degree F. at the a = 0.01 level of significance. b-Approximately the P-value. (a) Choose the correct answer below. a- Reject H0 since the test statistic is less than the critical value b- Do not Reject H0 since the test statistic is not less than the
  • 6. critical value c- Do not Reject H0 since the test statistic is less than the critical value d- Reject H0 since the test statistic is not less than the critical value (b) The P-value is approximately …….. (Round to four decimal place as needed) 10) A researcher is interested in approximately the mean number of miles on 4 year old cars of a certain make and model. She finds a random of 12 such cars in her city and obtains the results shoen. 45,335 29,005 51,003 44,414 47,974 57,144 30,440 46,171 30,110 54,003 38,797 41,437 Assume that the number of miles driven is normally distributed. (a) Obtain the point estimate for the population mean number of miles on 4year old car of the same make and model. X= ……… (Round to one decimal place as needed). (b) Construct and interpret a 90% confidence interval for the population mean number of miles on 4 years old car of same make and model. Assume σ =19,900. A 90% confidence interval of the population mean number of miles on 4 year old car of the same make and model is (……),(…….). (Use ascending order. Round to the nearest integer) Choose the correct interpretation of the confidence interval. a-The researcher is 90% confident that the mean number of miles is not in the interval. b- The researcher is 90% confident that the mean number of miles is within the interval. c-The probability that the interval contains the mean number of miles is 90%. d- The probability that the interval does not contain the
  • 7. mean number of miles is 90%. (c) Construct and interpret a 99% confidence interval for the population mean number of miles on a 4 year old car of the same make and model is (…..),(……). (use ascending order. Round to the nearest integer needed). Choose the correct interpretation of the confidence interval. a-The probability that the interval does not contain the mean number of miles is 99%. b-The researcher is 99% confidence that the mean number of miles is not in the interval. c- The researcher is 99% confidence that the mean number of miles is within the interval. d- The probability that the interval contains the mean number of miles is 99%. (d) What effect does increasing the level of confidence have on the interval? · The width of the interval decreases. · The width ot the interval increases. (e) Do the confidence intervals computed in parts (b) and (c) represent an estimate for the population mean number of miles on that specific make and model in the country? Why? a-Yes because the simple size is larger enough, the results can be generalized to the entire country. b-Yes because the researcher simple all cars of the same age, make and model the results can be generalized to the entire country. c-No because the researcher only sampled cars in her own city, the results cannot be generalized to the entire country. d- No because the researcher simple all cars of the same age, make and model the results can be generalized to the entire country. 11) To test H0: µ=100 versus H1:≠100, a random sample of size n=32 is obtained from a population that is known to be normally
  • 8. distributed with σ=11. (a) Does the population need to be normally distributed to compute the P-value? (b) If the sample mean is determined to be x=97.2, compute the P-value. (c) If the researcher decides to test this hypothesis at the a=0,02 level significance, will the researcher reject the null hypothesis? (a)Does the population need to be normally distributed to compute the P-value? a-The population need to be normally distributed to compute the P-value since the sample size is less than 30. b-The population must be normally distributed to computed the P-value, regardless of the sample size. c- The population does not need to be normally distributed to compute the P-value since the sample size is less than 30. (b)Compute the P-value. Select the correct choice below and fill in any answer boxes in your choice. a- P-value= ……..(Round to four decimal place as needed). b- The P-value cannot be computed. (c)Will the researcher reject the null hypothesis? a-No because the P-value is less than the level of significance. b- No because the P-value is greater than the level of significance. c- Yes because the P-value is greater than the level of significance. d- Yes because the P-value is less than the level of significance. e-It is undetermined; the P-value could not be computed. 12) (a) Determine the null and the alternative hypotheses, (b) explain what it would mean to make a type I error, (c) explain what it would mean to make a type II error. Three years ago, the mean price of a single family home was
  • 9. $243,771. A real estate broker believes that the mean price has increased since then. (a)Which of the following is the hypothesis test to be conducted? A- H0: µ= $243,771; H1: µ> $243,771 B- H0: µ= $243,771; H1: µ ≠ $243,771 C- H0: µ= $243,771; H1: µ< $243,771 (b)Which of the following is a type I error? a-The broker rejects hypothesis that the mean price is $243,771, when it is the true mean cost. b- The broker rejects hypothesis that the mean price is $243,771, when the true mean price is greater than $243,771. c- The broker fails to reject hypothesis that the mean price is $243,771, when the true mean price is greater than $243,771. (c)Which of the following is the type II error? a- The broker rejects hypothesis that the mean price is $243,771, when it is the true mean cost. b- The broker fails to reject hypothesis that the mean price is $243,771, when the true mean price is greater than $243,771. c- The broker fails to reject hypothesis that the mean price is $243,771, when it is the true mean cost. (13) The mean consumption of the fruit three years ago was 97.7 pounds. A dietician believes that the fruit consumption has risen since then. (a)Determine the null and alternative hypotheses. Which of the following is correct? A-H0: µ= 97.7; H1: µ ≠97.7 B- H0: µ= 97.7; H1: µ < 97.7 C- H0: µ= 97.7; H1: µ> 97.7 (b)Supposed the sample data indicate the null hypothesis should be rejected. State the conclusion of the researcher. Which of the following is the conclusion that could be reached? a-There is not sufficient evidence to conclude that the mean
  • 10. consumption of the fruit has risen. b- There is not sufficient evidence to conclude that the mean consumption of the fruit has stayed the same. c-There is sufficient evidence to conclude that the mean consumption of the fruit has stayed the same. d-There is sufficient evidence to conclude that the mean consumption of the fruit has risen. (c)Supposed, in fact, the mean consumption of the fruits is 97.7 pounds. Did the researcher commit a type I or type II error? a-The researcher committed a type II error because he accepted the alternative hypothesis when the mean hypothesis was true. b- The researcher committed a type II error because he rejected the null hypothesis when it was true. c- The researcher committed a type I error because he accepted the alternative hypothesis when the mean hypothesis was true. d- The researcher committed a type I error because he rejected the null hypothesis when it was true. If we tested this hypothesis at the a= 0.02 level of significance, what is the probability of committing this error? (……….) (14) A simple random sample of size n is drawn. The sample mean, x, is found to be 18.2, and the sample standard deviation, s, is found to be 4.5. (a)Construct a 95% confidence interval about µ if the sample size, n, is 34. The confidence interval is (……), (…….). (Use ascending order. Round to two decimal places as needed) (b) Construct a 95% confidence interval about µ if the sample size, n, is 51. The confidence interval is (……), (…….). (Use ascending order. Round to two decimal places as needed) How does increase the sample size affect the margin of error, E? a-The margin of error does not change. b-The margin of error increases.
  • 11. c-The margin of error decreases. (c)Construct a 99% confidence interval about µ if the sample size, n, is 34. The confidence interval is (……), (…….). (Use ascending order. Round to two decimal places as needed) Compare the result to those obtain in part (a). How does increasing the level of confidence affect the size of margin of error, E? a-The margin error increases. b-The margin error does not change c-The margin error decreases. (d)If the sample size is 17, what conditions must be satisfied the confidence interval? a-The sample data must come from a population that is normally distributed with outlier. b- The sample must come from a population that is normally distributed and the sample size must be large. c- The sample size must be large and the sample should not have any outlier. 15) An agriculture researcher is interested in estimating the mean length of the growing season in a region. Treating the last 10 years as a simple random sample, he obtains the following data, which represent the number of days of the growing season. 151 159 145 147 163 193 187 175 164 155 (a) Because the sample size is small, we must verify that the data come from a population that is normally distributed and that the sample size does not contain any outliers. The normal probability plot and boxplot are shown bellow. Are the conditions for constructing a confidence interval about the mean satisfied? 100 Percentage 80 250 130 230 Days Days
  • 12. a- No the population is not normal b- Yes, both condition are met c- No, neither condition is met d- No there are outliers (b) Construct a 95% confidence interval for the mean length of the growing season in the region. (……),(……). (Use ascending order. Round to two decimal places as needed.) (c) What could be done to increase the accuracy of interval, assuming the researcher does not have access to additional data? a-The researcher could increase the sample mean. b-The researcher could increase the level of confidence. c- The researcher could decrease the level of confidence. d- The researcher could decrease the sample standard deviation.