For a chi-square test involving a contingency table, suppose the null hypothesis is rejected. We conclude that the two variables are __________. a) related b) curvilinear c) linear d) not related 4. A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. What is the dependent variable?
For a chi-square test involving a contingency table, suppose the null hypothesis is rejected. We conclude that the two variables are __________. a) related b) curvilinear c) linear d) not related 4. A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. What is the dependent variable?
1. A random sample of size 15 is selected from a normal population. The population standard deviation is unknown. Assume the null hypothesis indicates a two-tailed test and the researcher decided to use the 0.10 significance level. For what values of t will the null hypothesis not be rejected?
D. level of significance is to the test statistic. You performed a right tailed hypothesis test and your sample gave you a test statistic in the left tail. Which of the following is considered the appropriate next step in this hypothesis test? A. Fail to reject the null.
Answer | | | | | Selected Answer: | False | Correct Answer: | False | | | | | * Question 6 2 out of 2 points | | | The Hurwicz criterion is a compromise between the maximax and maximin criteria. Answer | | | | | Selected Answer: | True | Correct Answer: | True | | | | | * Question 7 2 out of 2 points | | | Using the minimax regret criterion, we first construct a table of regrets. Subsequently, for each possible decision, we look across the states of nature and make a note of the maximum regret possible for that decision. We then pick the decision with the largest maximum regret. Answer | | | | | Selected Answer: | False | Correct Answer: | False | | | | | * Question 8 2 out of 2 points | | | The chi-square test is a statistical test to see if an observed data fit a
RES/342--- This produced a 28/30 on the final 1) What are the critical z-values for a two-tailed hypothesis test if the significant level = 0.01? C. ± 2.58 2) In classical hypothesis testing, the test statistic is to the critical value what the __________. A. ‘p-value’ is to alpha 3) For a hypothesis test of a single population mean at 95% confidence level, a calculated Z score of 1.7 supports the conclusion that A. the population mean is greater than the hypothesized value 4) If the paired differences are normal in a test of mean differences, then the distribution used for testing is the C. student distribution 5) One hundred women were polled and 60 reported successfully communicating an automobile problem to an auto repairman. A sample of 150 men had 95 reporting the same success.
Since 2.9134>1.2816, 1.6449 and 2.3263, I rejected H0 and accepted Ha at 1 = 0.10, 0.05, and 0.01 and concluded that the mean rating exceeds 42. Since 2.9134<3.0902, I rejected H0 at a = 0.001, and fail to conclude that the mean rating exceeds 42. c. Using the information in part b, calculate the p-value and use it to test H0 versus Ha at each of at = 10, .05, .01 and .001. Upper tail p-value for z = 2.9134 is 00018. Since 0.0018<0.10, 0.65, 0.01, I rejected H0 and accepted Ha at a = 0.10, 0.05, and 0.01 and concluded that the mean rating exceeds 42. Since 0.0018>0.001, I failed to reject H0 @ a = 0.001 and failed to conclude that the mean rating exceeds 42. d. How much evidence is there that the mean composite
The confidence interval for the first group mean is thus (4.1, 13.9). Similarly for the second group, the confidence interval for the mean is (12.1, 21.9). Notice that the two intervals overlap. However, the t-statistic for comparing two means is: t= 17 − 9 2.5 2 + 2.5 2 = 2.26 which reflects that the null hypothesis, that the means of the two groups are the same, should be rejected at the α = 0.05 level. To verify the above conclusion, consider the 95 percent confidence interval for the difference between the two group means: (17 − 9 ) ± 1.96 × 2.5 2 + 2.5 2 which yields (1.09, 14.91).
A. 79% and 500 days B. 13% and 79% C. 79% and one in twelve D. 13% and one in twelve ------------------------------------------------- A sufficiently large coverage error will result in which of the following? A. Statistics about the actual population rather than the target population B. Non-response bias C. Inability to perform inferential statistics D. Probability sampling When every member of a population has the chance of being selected based on the probability, or frequency, of its representation in that population, you are using which type of sampling?
Answer: C For an imperfectly competitive firm: A) total revenue is a straight, upsloping line because a firm's sales are independent of product price. B) the marginal revenue curve lies above the demand curve because any reduction in price applies to all units sold. C) the marginal revenue curve lies below the demand curve because any reduction in price applies to all units sold. D) the marginal revenue curve lies below the demand curve because any reduction in price applies only to the extra unit sold. Answer: C For a nondiscriminating imperfectly competitive firm: A) the marginal revenue curve lies above the demand curve.