The following table shows some data from a study on substance use among 10th graders in the United States and Europe. Smoked Cigarettes Cigarette-Free Totals U.S. y 14,000 Europe 96,000 Total 71,210 110,000

1. To study about the correlation between height and shoe size, you need to collect a sample of nine (9) people using a Systematic Sampling method. a. What is the population of people? Where and how are you going to collect your sample? Does your sample accurately represent your population? Why or why not? b. Collect the sample and record the data. Use a single unit for height. Do not use a mixed unit like feet and inches. Person 1 Person 2 Person 3 Person 4 Person 5 | Person 6 Person 7 Person 8 Person 9 Height (in) 64 Werght(16) 134 66 166 66 61 67 66 142/178 59 103 154 73 67 152 109 109 154 135 2. (CLO 1) Construct a confidence interval to estimate the mean height and the mean weight: you must complete the following questions by first choosing a Confidence Level. You may choose from the familiar 90%, 95%, or 99% level of confidence. Denote this by choosing a =. a. Find the sample mean and sample standard deviation of the height. Denote them as i and sg respectively. b. Find the…

A report stated that based on observing a large number of vehicle occupants, the estimated percentage of drivers and passengers in a certain country who wear seatbelts is 85.7%. The report also gave information on seat belt use by sex and by whether the vehicle is traveling in an urban or rural area. The information in the following table is consistent with summary values given in the report. Seat belt No Seat belt Urban Areas Male Female 851 119 908 62 Rural Areas Male Female 750 220 817 153 Assume that these data are representative of drivers and passengers in the country. Consider the following conclusion. Females are more likely to wear seat belts than males in both urban and rural areas. The difference in the percentage of females and the percentage of males who wear seat belts is greater for rural areas than for urban areas. Provide a justification for this conclusion. Use the information in the table to calculate relevant probabilities. The differences in the proportions for…

What is the mode, if any, for the dataset of 99;40;59;55;77;59;75;69;69;92;60;58;75;83?

12. The rise of online streaming services such as Netflix and HBO Go has dramatically altered the media habits of Americans, especially young adults. A survey was conducted by interviewers at Princeton Data Sources. They selected a nationwide random sample of 384 adults and asked, "What is the primary way you watch television: cable, online streaming, or digital antenna?" The observed counts are given in the side-by-side frequency bar graphs below. Cable or satellite subscription Online streaming service Digital antenna 100 80 80- 60 40 Frequency 31 61 19 70 84 20- 15 10 0 18-29 30-49 50-64 65+ Ages (b) Which cell contributes the most to the chi-square statistic? Describe how the observed and expected counts differ for that category.

16.  Please answer this question ASAP. Please circle all answers, please be organized.

In , Addison Group and Kelton surveyed the work preferences and attitudes of working adults spread over three generations — Baby Boomers, Generation X, and Millennials (Society for Human Resource Management website). One question asked individuals if they would leave their current job to make more money at another job. The file Millennials contains the sample data, which is also summarized in the following table. Click on the datafile logo to reference the data. Generation Leave Job for More Money? Baby Boomer Generation X Millennial Yes 137 171 175 No 213 199 186 Conduct a test of independence to determine whether interest in leaving a current job for more money is independent of employee generation. Compute the value of the test statistic (to decimals). Do not round your intermediate calculation. What is the -value? Use Table 3 of Appendix B. The -value is . Using a level of significance, what is your conclusion? Conclude interest in leaving job for more money independent of the…

You may need to use the appropriate technology to answer this question. Suppose a company surveyed the work preferences and atitudes of 1,006 working adults spread over three generations: baby boomers, Generation X, and millennials. In one question, individuals were asked if they would leave their current job to make more money at another Job. The sample data are summarized in the following table. Generation Leave Job for More Money? Baby Boomer Generation X Millennial Yes 124 154 167 No 202 185 174 Conduct a test of independence to determine whether interest in leaving a current job for more money is independent of employee generation State the null and aiternative hypotheses Hg Interest in leaving job for more money is independent of the employee generation H, Interest in leaving job for more money is not independent of the employee generation. OH Interest in leaving job for mere money is mutually excusive of the employee generation H, Interest in leaving job for more money is not…

Here is a set of sample data. 100 43 19 50 49 37 36 75 46 24 65 18 90 45 21 20 94 74 81 91 35 83 Base on the data above, identify the 5 number summary _,_,_,_,_

25. Please tell me which one to choose.