In_class_Practice3_detailed

In_class_Practice3_detailed - In-class Practice 3 Topics...

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1 In-class Practice 3 Topics covered - Hypothesis Testing and Correlation (Bring the first 18 pages to class on 9/29 & 10/2) NAME: _______________________________________________________ BUAD 310 USC ID# :__________________________________________________________ SIGNATURE :___________________________________________________ ARIF ANSARI P a r t 1 MULTIPLE CHOICE [2 points each] 1. In statistical hypothesis testing, in order to determine the p-value, which of the following is not needed? A. The level of Significance B. Whether the test is lower tail, upper tail or two tail C. The Value of the test statistic D. The type of Distribution (Z or T) 2. A significance test gives a p-value of 0.04. From this we can A. Reject the null hypothesis at the 0.05 significance level. B. Reject the null hypothesis at the 0.01 significance level. C. Don’t reject the null hypothesis at the 0.05 significance level. D. Say that the probability that the null hypothesis is true is 0.04 3. An office of a consulting firm prepares written and oral proposals to generate new business. The number of new proposals in any one week varies. Summary measures for the distribution are: Oral Proposals Written Proposals Mean 2 2 Variance 1.83 1.65 Covariance -0.7 What is the correlation between the number of oral proposals in one week and the number of written proposals in the week? A. 1, because they are perfectly correlated. B. 0, because the number of one kind of proposal doesn’t determine the number of the other kind. C. -0.70. D. Negative, and larger in magnitude than 0.70. Page 1 of 49
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2 E. Negative, and smaller in magnitude than 0.70. 4. Generally speaking, if two variables are unrelated (as one increases, the other shows no pattern), the correlation will be, A. A large positive number B. A large negative number C. A positive or negative number close to zero D. None of the above 5. Generally speaking, if two variables are linearly related and the magnitude of the correlation is close to 1, we can say a) The two variable are correlated and there is a causal relationship b) The two variable not correlated but there is a causal relationship c) The two variable not correlated and there is no causal relationship d) The two variable correlated but there is a no causal relationship e) none of the above Question 1 (6 points) The following is a list of some of the techniques discussed in this course: Confidence intervals One sample T test Histogram Sampling distribution Side by side boxplots Scatterplot (Overlay plot) For each of the situations described below, select the ONE technique from the preceding list that you think is MOST applicable. Write your answer in the space provided. a. You want to examine in detail the distribution of outstanding loans among savings and loan institutions that went bankrupt in the S&L crisis of 1988. You have information collected at the firm level (one number per “bank”). b. You are a real estate broker in Manhattan Beach. As such, you are privy to certain information about houses in MB. You know that the average size (number of square feet) of a house in Manhattan Beach is 2854 sq. ft. You‘ve collected data on 50 randomly selected houses in Santa Monica. You want to know if houses in Santa Monica, on average, are larger than 2854 square feet.
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In_class_Practice3_detailed - In-class Practice 3 Topics...

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