BA 578 FINAL EXAM SUMMER I 2016 | Complete Solution
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Name: __________________________
ID: ______________________
Online Final Exam
Part A: Fill in the blank (1-26)
The purpose of hypothesis testing is to aid the manager or researcher in reaching a (an) __________________ concerning a (an) _______________ by examining the data contained in a (an) _______________ from that ____________________.
A hypothesis may be defined simply as __________________________________________.
There are two statistical hypotheses. They are the _________________ hypothesis and the _________________ hypothesis.
The statement of what the investigator is trying to conclude is usually placed in the _________________ hypothesis.
The _____________ hypothesis is the hypothesis that is tested.
If the null hypothesis is not rejected, we conclude that the alternative _________________.
If the null hypothesis is not rejected, we conclude that the null hypothesis _____________.
A Type I error occurs when the investigator _____________________________.
A Type II error occurs when the investigator _____________________________ .
The probability of committing a Type I error is designated by the symbol ____________, which is also called the ___________________.
Values of the test statistic that separate the acceptance region from the rejection are called _________________ values.
The following is a general statement of a decision rule: If, when the null hypothesis is true, the probability of obtaining a value of the test statistic as____________ as or more _______ than that actually obtained is less than or equal to , the null hypothesis is____ _________. Otherwise, the null hypothesis is ______________________ .
The probability of obtaining a value of the test statistic as extreme as or more extreme than that actually obtained, given that the tested null hypothesis is true, is called ____________ for the ________________test.
When one is testing H0: µ= µ0 on the basis of data from a sample of size n from a normally distributed population with a known variance of σ2 , the test statistic is ____________________________________________________.
When one is testing H0: µ= µ0 on the basis of data from a sample of size n from a normally distributed population with a unknown variance, the test statistic is ___________________________________________________.
The null hypothesis contains a statement of __________________________________.
The statement µ ≥ 0 is an inappropriate statement for the ____________ hypothesis.
The rejection region consists of those values of the ______________ that will cause rejection of the null hypothesis.
The null hypothesis and the alternative hypothesis are ____________ of each other.
Given , H0: µ= µ0, then Ha : ___________________________________ .
Given H0: µ ≤ µ0, then Ha : ___________________________________ .
Given H0: µ ≥ µ0, then Ha : ___________________________________ .
A statement of what you wish to conclude goes in the ______________.
A market analyst believes that more than 30% of the adults in a certain area regularly read a certain magazine. The analyst wishes to conduct a hypothesis test to see whether this belief will be supported. The appropriate statistical hypotheses are: __________________.
Given: H0: µ ≥ 50; Ha: µ < 50; α = 0.05. A simple random sample of size 64 is drawn from a non-normally distributed population. X ̅= 45, s2 = 256. The computed value of the test statistic is _________________, which is compared for significance with a value from the ____________________ distribution.
Given: H0: µ= 100; Ha: µ ≠ 100; α = 0.03; computed z = 2.25, p = 0.0244. The null hypothesis should reject because __________________________________________.
Part B: Use questions number 27-50 from page 9-54 to 9-57 to write your answer below (27-50).
27 35 43
28 36 44
29 37 45
30 38 46
31 39 47
32 40 48
33 41 49
34 42 50
Part C: Please fill in the blank and circle your decision or answer the following questions (51-53).
State whether you would reject or fail to reject the null hypothesis in each of the following cases (two-tailed): Make a decision.
P = 0.12 ; α=0.05 Decision
Reject / Fail to reject
P = 0.001 ; α=0.01 Decision
Reject / Fail to reject
State whether H_0 should be accepted or rejected for α=0.05, given the following; F^*= computed F (circle your decision)
F^* = 2.34; df = 2 and 11 Decision
Reject / Fail to reject
F^* = 4.29; df = 3 and 24 Decision
Reject / Fail to reject
Given the following, complete the ANOVA table and make the correct inference. Using F-value to make a decision.
Source SS df MS F
Treatments ____ 2 3.24 ____
Error ____ 17 ____
Total 40.98 ____
ANSWER
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 D: Explain below (54-55)
What does the constant term capture in the equation?
What does the constant term capture in the equation?
Part E: Must show all your work step by step in order to receive the full credit; Excel is not allowed (56-65).
Given the following probabilities, find Z0 and please draw the shading the area
Show your work Please draw graphs
a. P(Z≤Z_0 )=0.0060
b. P(-1.67≤〖Z≤Z〗_0 )=0.8844
c. P(Z>Z_0 )=0.0455
=
d. P(Z_0≤Z≤3.02)=0.0009
e. P(Z>Z_0 )=0.7224
f. P(Z_0≤〖Z≤Z〗_0 )=0.9876
Work on problem number 28 (a-d) on page 7-26
a)
b)
c)
d)
Work on problem number 13 (a-c) on page 7-48
a)
b)
c)
Work on problem number 15 (a-c) on page 7-67
a)
b)
c)
Use problem number 12 on page 8-11 to answer the following questions (a-d)
a) Mean
b) Variance
c) Standard deviation
d) Find a 90% confidence interval for the mean μ. Interpret this interval
Please fill in the computer printout and answer the following questions (a-b).
Given that α=0.05
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.9037
R Square ______
Adjusted R Square ______
Standard Error ______
Observations ______
ANOVA
df SS MS F Significance F
Regression 1 4.9 ______ ______ 0.03535
Residual 3 1.1 ______
Total ______ ______
Coefficients Standard
Error t Stat P-value Lower95% Upper 95% Lower 95.0% Upper 95.0%
Intercept -0.1 ______ -0.15746 0.88488 ______ ______ ______ ______
X1 0.7 ______ 3.65563 0.03535 ______ ______ ______ ______
a) Predicting Y given that X=5; confidence interval α=0.05
b) Estimating mean given that X=5; confidence interval α=0.05
The following regression equation was obtained using the five independent variables.
Given that α=0.05
a) What percent of the variation is explained by the regression equation? b) What is the standard error of regression?
c) What is the critical value of the F-statistic? d) What sample size is used in the print out?
e) What is the variance of the slope coefficient of income?
f) Conduct a global test of hypothesis to determine if any of the regression coefficients are not zero.
g) Conduct a test of hypothesis on each of the independent variables. Would you consider eliminating outlets and bosses?
Work on problem 3 on page 10-28 (a-d)
a)
b)
c)
d)
An ad agency asks each member of a random sample of 60 viewers to indicate which of six television programs he or she prefers. Let α=0.05
Program 1 2 3 4 5 6 Total
Number 5 8 10 12 12 13 60
a) Is the χ2 value significant at 5% level of significant?
b) Write the conclusion for this question
Work on problem 10 on page 15-10
What is you hypothesis testing
What is your χ^2?
c) Is the χ2 value significant at the 5 % level of significance?
d) Write the conclusion for this question.
[Solved] BA 578 FINAL EXAM SUMMER I 2016 | Complete Solution
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