Among drivers who have had a car crash in the last year, 300 were randomly selected and categorized by age, with the results listed in the table below. Age Under 25 25-44 45-64 Over 64 Drivers 125 64 42 69 If all ages have the same crash rate, we would expect (because of the age distribution of licensed drivers) the given categories to have 16%, 44%, 27%, 13% of the subjects, respectively. At the 0.025 significance level, test the claim that the distribution of crashes conforms to the distribution of ages. The test statistic is χ2=  The critical value is χ2=

The following are the ratings of males by females in an experiment involving speed dating. Use the given data to construct a boxplot and identify the​ 5-number summary.   2.02.03.04.05.05.06.06.06.06.06.07.08.08.08.08.08.58.58.58.5

The city of Hampton is surveying households to see if the number of cats per household has changed over the past decade. The last known average of cats per household was 1.08. What statistical procedure should you use to analyze these data? O one sample z test Oone sample t test O correlated groups t test O independent groups t test

Twelve HSS students have been randomly assigned to one of three different statistics classes: one is taught by Professor Lavigne, another is taught by a monkey, and the last group has no professor and requires that students learn on their own. Here are the data:  Final grade in class:  Prof Lavigne: 67,74,82,55 Monkey: 43,66,52,10 No professor: 97,87,86,78 We now want to figure out if the average final grade in each class is different from one another. What kind of analysis does this require? One-way ANOVA A series of two-sample t-tests A series of one-sample t-tests None of the above What degrees of freedom are needed to answer the following question: Are average final grades statistically different in each group? 10 11 2 and 9 3 and 12 No degrees of freedom can be used

Among drivers who have had a car crash in the last year, 200 were randomly selected and categorized by age, with the results listed in the table below. Age Under 25 25-44 45-64 Over 64 Drivers 77 52 28 43 If all ages have the same crash rate, we would expect (because of the age distribution of licensed drivers) the given categories to have 16%, 44%, 27%, 13% of the subjects, respectively. At the 0.025 significance level, test the claim that the distribution of crashes conforms to the distribution of ages. The test statistic is x² = The critical value is x² = The conclusion is OA. There is not sufficient evidence to warrant the rejection of the claim that the distribution of crashes conforms to the distibuion of ages. OB. There is sufficient evidence to warrant the rejection of the claim that the distribution of crashes conforms to the distibuion of ages.

Suppose a random sample of 800 athletes from the college are asked what their major is. The table below shows the results of the survey. Observed Frequencies of Majors from the Sample Observed Frequency Outcome Math/Science 256 Arts & Humanities 190 Business & Economics 153 Other 201 The distribution of majors at the college is shown in the second column of the table below. Fill in the expected frequencies. (Round to the nearest whole number). Frequencies of Majors at the College Expected Percent Outcome Expected Frequency Math/Science 18 Arts & Humanities 29 Business & Economics 25

Is there an association between hair color and body type? The table below shows the results of a researcher's observations of randomly selected people. Frequencies of Hair Colors for Various Body Types Blonde Brunette Red Head 71 80 96 108 55 115 46 91 Short and Slender Short and Pudgy Tall and Slender Tall and Heavy What can be concluded at the o= 0.01 significance level? 53 74 69 63

During the month of January 2017, a total of 29,404 flights took off from a particular airport. Of all these flights, 23.9 % had a departure delay of more than 10 minutes. Suppose we randomly sample just 100 of these flights. Complete parts a through d. a. What sample proportion should we expect to see in such a sample, and how much should we expect the proportion to vary from sample to sample in samples of size 100? The mean is (Round to three decimal places as needed.)

Suppose a random sample of 808 athletes from the college are asked what their major is. The table below shows the results of the survey. Observed Frequencies of Majors from the Sample Outcome Observed Frequency Math/Science 198 Arts & Humanities 215 Business & Economics 208 Other 187 The distribution of majors at the college is shown in the second column of the table below.   Fill in the expected frequencies.  (Round to the nearest whole number). Frequencies of Majors at the College Outcome Expected Percent Expected Frequency Math/Science 28   Arts & Humanities 32   Business & Economics 14   Other 26