Compute the value of the test statistic

Assignment Help Applied Statistics
Reference no: EM131301608

Assignment -

Part A -

Please fill in the blank and circle your decision or answer the following questions.

Q1. State whether H0 should be accepted or rejected for α = 0.05, given the following; F* = computed F (fill in the blank and circle your decision)

a)F* = 2.34; df = 2 and 11

Computed F

Critical F

Decision

 2.34

___________

Reject / Fail to reject

b) F* = 2.52; df = 4 and 20

Computed F

Critical F

Decision

 2.52

 ___________

Reject / Fail to reject

c) F* = 4.29; df = 3 and 24

Computed F

Critical F

Decision

4.29

 ___________

Reject / Fail to reject

Q2. Use problem 4 on page 14-11 to fill in the table and answer the following questions.

Source

SS

df

MS

F

Treatments

_____

180

_____

_____

Error

_____

60

_____

 

Total

_____

_____

 

 

a) What is the hypothesis being tested in this problem?               

b) In the above ANOVA table, is the factor significant at the 5% level?   

c) Number of observations?      

Q3. Use problem 5 on page 14-12 to fill in the table and answer the following questions.

Source

SS

df

MS

F

Treatments

12.10

2

6.05

_____

Error

_____

_____

0.87

 

Total

27.81

20

 

 

a) What is the hypothesis being tested in this problem?               

b) In the above ANOVA table, is the factor significant at the 5% level?   

c) Number of observations?      

Q4. Use problem 6 on page 14-12 to fill in the table and answer the following questions.

Source

SS

df

MS

F

Treatments

20.46

3

6.82

0.23

Error

_____

20

_____

 

Total

623.96

_____

 

 

a) What is the hypothesis being tested in this problem?               

b) In the above ANOVA table, is the factor significant at the 5% level?   

c) Number of observations?      

Part B -

Work Problem - All work in part must be shown step by step.

Q5. Use problem number 1 on page 9-18 to answer the following questions (a-e).

a) Use Z or T test? And why?

b) At α = 0.05, what is the rejection rule?

c) Compute the value of the test statistic.

d) What is the p-value?

e) What is your conclusion?

Q6. Use problem number 6 on page 9-18 to answer the following questions (a-e).

a) Use Z or T test? And why? 

b) At α = 0.05, what is the rejection rule?

c) Compute the value of the test statistic.

d) What is the p-value?

e) What is your conclusion?

Q7. Use problem number 20 on page 9-21 to answer to following questions (a-h).

a) What is the sample mean?

b) What is the sample standard deviation?

c) Use Z or T test? And why?

d) What is your hypothesis test?

e) At α = 0.05, what is the rejection rule when using the method you choose in (C)?

f) Compute the value of the test statistic.

g) What is the p-value?

h) What is your conclusion?

Q8. Use problem number 18 on page 9-21 to answer the following questions (a-e).

a) Use Z or T test? And why? 

b) At α = 0.05, what is the rejection rule?

c) Compute the value of the test statistic.

d) What is the p-value?

e) What is your conclusion?

Q9. Use problem number 2 on page 10-27 to answer the following questions (a-d).

a) Write and interpret the estimated regression equation.

b) What is the number of observations?

c) Compute the F statistic and test the significance of the relationship at a .05 level of significance?

d) Predict monthly maintenance expense for any terminal that is used 25 hours per week.

Q10. Use problem number 10 on page 10-30 to answer the following questions (a-j).

a) Find b1 and interpret.

b) Find b0 and interpret.

c) Write the equation.

d) Find r2 and interpret.

e) Find SST.

f) Find Se.

g) Construct the 95% confidence interval for the mean of y when x = 7.

h) Construct the 95% confidence interval for the individual value of y when x = 9.

i) What is the consumption of apple per person when consumer income is $500?

j) Interpret and show that you understand this regression equation. (Significant weight will be given to this question).

Q11. The given computer printout is a regression model relating plane travelling. Given X, number of fuel consumed (in gallon) and Y, flying time (1,000 mile) has been developed. Please fill in the blank and answer the following questions (a-g).

SUMMARY OUTPUT








Regression Statistics








Multiple R

0.877








R Square

______








Adjusted R Square

______








Standard Error

______








Observations

______

















ANOVA









 

df

SS

MS

F

Significance F




Regression

1

18.937

18.937

______

0.010




Residual

______

5.712

______






Total

6

24.649

 

 

 













 

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Lower 95.0%

Upper 95.0%

Intercept

-8.859

8.077

-1.097

0.323

______

11.904

29.621

______

Fuel Consumed

0.132

0.032

4.071

0.010

______

0.215

0.049

______











a) Write and interpret the estimated regression equation.

b) What is the number of observations?

c) Compute the F statistic and test the significance of the relationship at a .05 level of significance.

d) Predict the flying time when the plane consumes 270 Gallons of gas.

e) What is the coefficient of determination and interpret it.

f) What is the coefficient of correlation and interpret it.

g) Interpret and show that you understand this computer printout. (Significant weight will be given to this question).

Q12. Giving the selling price of the dependent variable and house size, house age and are independent variables please fill in the table and answer the following questions (a-h). (α=0.05)

SUMMARY OUTPUT








Regression Statistics








Multiple R

0.9571








R Square

_____








Adjusted R Square

0.8932








Standard Error

6.8940








Observations

_____








ANOVA









 

df

SS

MS

F

Significance F




Regression

3

5707.4385

_____

_____

3.27814E-06




Residual

11

_____

47.5270






Total

_____

6230.2360

 

 

 













 

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Lower 95.0%

Upper 95.0%

Intercept

-16.0580

19.0710

-0.8420

0.4177

-58.0331

25.9171

_____

25.9171

House Size

4.1462

0.7512

5.5195

0.0002

2.4928

5.7995

2.4928

_____

House Age

-0.2361

0.8812

-0.2679

0.7937

-2.1756

1.7035

_____

1.7035

Area

4.8309

0.9011

5.3612

0.0002

2.8476

6.8141

2.8476

_____

a) Write and interpret the estimated regression equation.

b) What is the number of observations?

c) What percent of the variation is explained by the regression equation, please explain.

d) What is the standard error of regression, please explain?

e) What is the variance of the slope coefficient of House size?

f) Conduct a global test of hypothesis to determine if any of the regression coefficients are not zero.

g) Conduct a test of hypothesis for each of the independent variables. Which one you would eliminate and why?

h) Interpret and show that you understand this computer printout. (Significant weight will be given to this question).

Q13. Use problem 13 on page 15-11 to answer the following questions (a-d).

a) What is your hypotheses?

b) What is your χ2?

c) Is the χ2 value significant at 5% level of significance?

d) Write the conclusion for this question.

Q14. Use problem 16 on page 15-11 to answer the following questions (a-d)

a) What is your hypotheses?

b) What is your χ2?

c) Is the χ2 value significant at 5% level of significance?

d) Write the conclusion for this question.

Q15. The following statistics were calculated in a regression analysis procedure.

DF = 7.0

b0 = -10.8

b1 = 3.0

Sb1 = 21.0

a. Test the null hypothesis that the slope of the regression lines is zero at the .01 significance level.

Attachment:- Question Problems.rar

Reference no: EM131301608

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len1301608

12/5/2016 6:21:40 AM

Show all work step by step, and the use of excel is not allowed. The word doc attachment is the assignment, the PDF attachment is the book problem information that corresponds with each assignment question.

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