Al Bundy is evaluating a new advertising program that could increase shoe sales. Possible outcomes and probabilities of the outcomes are shown next. Possible Outcomes Ineffective campaign Normal response Extremely effective Additional Sales in Units 40 190 370 Coefficient of variation Probabilities 0.20 0.30 0.50 Compute the coefficient of variation. (Do not round intermediate calculations. Round your answer to 3 decimal places.)
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- M ☆ ♥4 83% 12:51 Statistics - MA3113 A-I... 1/322. 12:47 PM Sitstics - MA113 A-IC- Edgenuity com A popular television show recently released a video preview for the upcoming season on its website. As fans of the show discover the video, the number of views of the preview video has grown each day during the last 2 weeks. The number of days since the release of the video and the natural log of the number of video views is shown in the scatterplot. In(Views) vs. Days 10 9.5 85 7.5 65 55 2 4 6 8 8 10 12 14 16 Days Residuals vs. Days 02 0.15 0.1 0.05 -0.05 -0.1 -0.15 -02 2 4 6 8 10 12 14 16 0 2 4 6 8 10 12 14 16 Days Based on the scatterplot and residual plot, what type of model would be appropriate for summarizing the relationship between days and number of views? O An exponential model is appropriate because the residual plot does not show a clear pattern. O A inear model is appropriate because the scatterplot shows a strong, positive linear relationship. A power model is appropriate…Doctors are testing a new antidepressant. A group of patients, all with similar characteristics, take part in the study. Some of the patients receive the new drug, while others receive the traditional drug. During the study, a number of patients complain about insomnia. The data are shown in the contingency table below. What is the relative risk of insomnia for those who receive the new drug? Round to two decimal places. New drug Total Insomnia No insomnia Total Traditional drug 36 Provide your answer below: 52 88 226 295 521 278 331 609Plzz explain
- Describe in detail the results achieved on the company’s test. Ignore other variables for now, just describe the test results. If the company is considering training for the lowest 10% of employees what score would they need to achieve to be exempted from training? Test Result 163 148 142 173 168 155 163 194 119 124 149 171 160 104 165 154 122 160 148 138 158 112 189 163 203 165 176 152 74 129 166 134 124 169 187 163 172 195 149 107 156 183 133 83 148 127 173 95 139 179 136 153 141 155 179 152 129 155 145 113 142 147 171 139 174 143 96 199 143 172 123 146 128 187 138 163 178 154 199 164 123 201 205 135 123 138 195 184 165 196 154 176 82 173 156 149 152 116 174 141 111 74 123 182 157 141 167 162 172 107 149 182 112 135 177 159 138 163 148 198…Education pays off, according to some data from a study. The median weekly earnings and the unemployment rates for eight different levels of education are shown in the table. Educational Attainment Doctoral degree (Dr) Professional degree (Prf) Master's degree (MS) Bachelor's degree (BS) Associate degree (AS) Some college, no degree (SC) High school diploma (HS) Less than a high school diploma (NHS) Unemployment Rate (%) 1.7 1.7 2.5 2.6 3.5 4.3 5.3 7.5 Median Usual Weekly Earnings ($) 1,665 1,747 1,382 1,155 820 757 690 505 Note: Data are for persons aged 25 and over. Earnings are for full-time wage and salary workers.The table below gives the percent of U.S. seniors (aged 65+ years) who used the internet in selected years. Year 2012 2014 2016 2018 2019 % of U.S. seniors using internet 54 57 64 66 73 Use a line of best-fit to predict the percent of U.S. seniors who will use the internet in the year 2022. A. 74 % B.76 % C.77 % D.79 % E.81 %
- The owner of Showtime Movie Theaters, Inc. would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow. Weekly GrossRevenue($1000s) TelevisonAdvertising($1000s) NewspaperAdvertising($1000s) 96 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 95 3.0 3.3 94 3.5 2.3 94 2.5 4.2 94 3.0 2.5 Part A: Develop an estimated regression equation with the amount of television advertising as the independent variable. Part B: Develop an estimated regression equation with both television advertising and news paper advertising as independent variables. Part C: Is the estimated regression rquation coefficient for television advertising expenditures the same in part (a) and in part (b) ? Interpret the coefficient in each case. Part D : Predict Weekly gross revenue for a week $3500 is spent on television advertising and $1800 is spent on newspaper advertising? Please hurry5 The income of one policy holder is 69 ($1,000) The predicted life insurance policy is _______ ($1,000) a 263.578 b 274.561 c 286.001 d 297.917Researchers are wondering whether they can predict college GPA with the number of hours studying per week. To test this, they randomly select 8 college students, record their GPA and the number of hours spent studying per week. GPA 2.5 2.7 3.4 3.7 2.7 1.9 2.0 4.0 ID 1 2 3 4 5 6 7 8 Hours studying per week 25.0 27.6 30.2 35.0 31.6 25.6 30.0 40.0 Based on the information in the table above, the researchers compute the regression equation: Y = -0.970 + 0.125 X. Do the researchers have enough evidence to claim that the number of hours studying predicts students' GPA? Based on the analysis, what would be the predicted GPA for someone who studies 30 hours per week? O2.00 O Cannot be predicted. O 1.25 2.78
- Internet and Nobel Laureates Find the best predicted Nobel Laureate rate for Japan, which has 79.1 Internet users per 100 people. How does it compare to Japan’s Nobel Laureate rate of 1.5 per 10 million people?Healthy Eating Americans appear to be eating healthier. Between 1970 and 2013 the per capita consumption of broccoli increased 1200.5% from 0.5 to 6.4 pounds. A nutritionist followed a group of people randomly assigned to one of three groups and noted their monthly broccoli intake (in pounds). At a=0.05 is there a difference in means? Group A Group B Group C 2.0 2.0 3.7 1.5 1.5 2.5 0.75 4.0 4.0 1.0 3.0 5.1 1.3 2.5 3.8 3.0 2.0 2.9 Null Hypothesis Alternative Hypothesis Find the Critical Value Find the Variance of each sample F= Make the decision Summarize Show how to use the TI-84 and Excel to work out the problems.Help please 2