The table below shows data from a survey on weight classification for smokers and nonsmokers.   Underweight Normal Overweight Non-smoker 37 543 1358 Smoker 11 133 325 Find the probability of selecting all four subjects who are Overweight. Assume the selections are made without replacement. Round answer to four decimal places

The safety director of a large steel mill took samples at random from company records of minor work-related accidents and classified them according to the time the accident took place.  Time Number of Accidents Time Number of Accidents 8 up to 9 a.m. 10 1 up to 2 p.m. 11 9 up to 10 a.m. 9 2 up to 3 p.m. 12 10 up to 11 a.m. 12 3 up to 4 p.m. 7 11 up to 12 p.m. 6 4 up to 5 p.m. 11      Click here for the Excel Data File Using the goodness-of-fit test and the 0.10 level of significance, determine whether the accidents are evenly distributed throughout the day. H0: The accidents are evenly distributed throughout the day.H1: The accidents are not evenly distributed throughout the day. a. State the decision rule, using the 0.10 significance level. (Round your answer to 3 decimal places.)     b. Compute the value of chi-square. (Round your answer to 3 decimal places.)     c. What is your decision regarding H0?

Suppose a random sample of 1012 athletes from the college are asked what their major is. The table below shows the results of the survey. Outcome Observed Frequency Math/Science 186 Arts & Humanities 233 Business & Economics 311 Other 282 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 23   Arts & Humanities 18   Business & Economics 31   Other 28

A group of people was randomly selected and asked how many hours per day each person spends on social media. The results of the survey are displayed in the following histogram:What percentage of the people surveyed spend 5 hours or more per day on social media?  22.5%  32.5%  50%  or 77.5%

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

A random sample of 1700 Texas government employees were selected for a study on race. The table below shows the results of the survey. Outcome White The racial distribution for the state of Texas is shown in the second column below. Fill in the expected frequencies. (Round to the nearest whole number). Hispanic Black Observed Frequencies of Race from the Sample Outcome Observed Frequency White 697 Hispanic 714 Other Black Other 136 153 Frequencies of Race Expected Percent 37 41 10 12 Expected Frequency

An insurance company crashed four cars of the same model at 5 miles per hour. The costs of repair for each of the four crashes were $444, $447, $470, and $207 O. Compute the mean, median, and mode cost of repair. Compute the mean cost of repair. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. O A. The mean cost of repair is $ (Round to the nearest cent as needed.) O B. The mean does not exist. Compute the median cost of repair. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. O A. The median cost of repair is $ (Round to the nearest cent as needed.) O B. The median does not exist. Compute the mode cost of repair. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. O A. The mode cost of repair is $ (Round to the nearest cent as needed.) O B. The mode does not exist.

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