# Stat 200 7361 introduction to statistics (2178) – homework 7

Ex-14-2 2. The formula for a regression equation is Y’ = 2X + 9. a. What would be the predicted score for a person scoring 6 on X? a. If someone’s predicted score was 14, what was this person’s score on X? Ex-14-6 6. For the X, Y data below, compute: 4 6 3 7 5 12 11 17 10 9 11/20/2017 Homework Assignments – STAT 200 7361 Introduction to Statistics (2178) https://learn.umuc.edu/d2l/le/content/251892/viewContent/9770725/View 2/5 14 21 = a. r and determine if it is significantly different from zero. a. the slope of the regression line and test if it differs significantly from zero. a. the 95% confidence interval for the slope. Ex-17-5 5. At a school pep rally, a group of sophomore students organized a free raffle for prizes. They claim that they put the names of all of the students in the school in the basket and that they randomly drew 36 names out of this basket. Of the prize winners, 6 were freshmen, 14 were sophomores, 9 were juniors, and 7 were seniors. The results do not seem that random to you. You think it is a little fishy that sophomores organized the raffle and also won the most prizes. Your school is composed of 30% freshmen, 25% sophomores, 25% juniors, and 20% seniors. a. What are the expected frequencies of winners from each class? a. Conduct a significance test to determine whether the winners of the prizes were distributed throughout the classes as would be expected based on the percentage of students in each group. Report your Chi Square and p values. a. What do you conclude? Ex-17-14 14. A geologist collects hand-specimen sized pieces of limestone from a particular area. A qualitative assessment of both texture and color is made with the following results. Is there evidence of association between color and texture for these limestones? Explain your answer. 11/20/2017 Homework Assignments – STAT 200 7361 Introduction to Statistics (2178) https://learn.umuc.edu/d2l/le/content/251892/viewContent/9770725/View 3/5 Colour Texture Light Medium Dark Row Total Fine 4 20 8 Medium 5 23 12 Coarse 21 23 4 Column Total Illowsky Ex-11-70 Decide whether the following statements are true or false. 70. The standard deviation of the chi-square distribution is twice the mean. Ex-11-102 102. Do men and women select different breakfasts? The breakfasts ordered by randomly selected men and women at a popular breakfast place is shown in Table 11.55. Conduct a test for homogeneity at a 5% level of significance. French Toast Pancakes Waffles Omelets Row Total Men 47 35 28 53 Women 65 59 55 60 11/20/2017 Homework Assignments – STAT 200 7361 Introduction to Statistics (2178) https://learn.umuc.edu/d2l/le/content/251892/viewContent/9770725/View 4/5 Column Total  Table 11.55 Ex-11-113 Use the following information to answer the next twelve exercises: Suppose an airline claims that its flights are consistently on time with an average delay of at most 15 minutes. It claims that the average delay is so consistent that the variance is no more than 150 minutes. Doubting the consistency part of the claim, a disgruntled traveler calculates the delays for his next 25 flights. The average delay for those 25 flights is 22 minutes with a standard deviation of 15 minutes. 113. df = _____ Ex-11-117 117. Let α = 0.05 Decision: _____ Conclusion (write out in a complete sentence.): _____ Ex-12-66 66. Can a coefficient of determination be negative? Why or why not? Ex-12-82 (Reduced version; you can omit e, f, and g) Use the following information to answer the next exercise. The cost of a leading liquid laundry detergent in different sizes is given in Table 12.31. Size (ounce) Cost (\$) Cost per ounce 16 3.99 11/20/2017 Homework Assignments – STAT 200 7361 Introduction to Statistics (2178) https://learn.umuc.edu/d2l/le/content/251892/viewContent/9770725/View 5/5 32 4.99 64 5.99 200 10.99  Table 12.31 82. a. Using “size” as the independent variable and “cost” as the dependent variable, draw a scatter plot. a. Does it appear from inspection that there is a relationship between the variables? Why or why not? a. Calculate the least-squares line. Put the equation in the form of: ŷ = a + bx a. Find the correlation coefficient. Is it signifi

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