Problem #2 - Wendy's Waiting Line A manager of a local Wendy's restaurant performed a study to determine the amount of time her customers wait in line during lunchtime. The data she collected is produced below. No. of minutes 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Percentage 0.011 0.035 0.089 0.150 0.186 0.172 0.132 0.098 0.063 0.035 0.019 0.002 0.006 0.001 0.001 Determine the average number of minutes a customer might expect to wait during lunchtime.
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- Need some help with statsA study was done to look at the relationship between number of vacation days employees take each year and the number of sick days they take each year. The results of the survey are shown below. Vacation Days 5 15 13 3 9 0 3 7 7 14 4 Sick Days 5 5 1 5 4 9 9 6 5 3 9 Use the model to predict the number of sick days taken for an employee who took 3 vacation days this year.Sick Days = ? (Please round your answer to the nearest whole number.) Interpret the slope of the regression line in the context of the question: As x goes up, y goes down. The slope has no practical meaning since a negative number cannot occur with vacation days and sick days. For every additional vacation day taken, employees tend to take on average 0.40 fewer sick days. Interpret the y-intercept in the context of the question: The y-intercept has no practical meaning for this study. If an employee takes no vacation days, then that employee will take 8 sick days. The average number of sick days is…One other way to look at the data is by percentiles. What was your percentile rank in each group? use picture to assist me with this question please.
- . Death 2010 The January 2012 National Vital StatisticsReport by the Centers for Disease Control and Preventionincluded information on deaths in the United States forthe year 2010. The 4 most common causes-heart disease,cancer, respiratory diseases, and stroke-accounted fornearly 60% of all deaths. What problems do you see withthe graph at the top of the next column?The table below shows data from a study relating a man's age to the average number of miles he can cover on foot in one hour. Age Miles 18 5.8 25 5.5 32 5.5 39 5.2 46 4.3 53 4.2 60 3.1 67 26 74 1.8You belong to two different walking groups. Here is data about each group’s walking in May 2020. Group A Person Minutes Walking in May 2020 YOU 630 B 400 C 500 D 650 E 350 F 700 G 500 H 550 I 800 K 900 Group B Person Minutes Walking in May 2020 YOU 400 X 250 Y 500 Z 450 Q 650 R 600 Answer the following questions based on this data. What was the Group A mean walking time? By what percent did YOU exceed or fall below the group A mean? Express your answer rounded to the nearest hundredth. What was the Group B median walking time? By what percent did YOU exceed or fall below the group B median? Express your answer rounded to the nearest hundredth. Let’s suppose you want to draw a pie chart that shows information for the members of each group classified by a rating based on the amount of walking time. There will be 4 categories: excellent, very good,…
- For the following question, look at the table below that shows the frequency of ages in a sample: Cumulative Age in Years Frequency Percent Percent 18 5 5% 5% 20 15 15% 20% 21 13 13% 33% 22 10 10% 43% 25 25 25% 68% 28 11 11% 79% 30 12 12% 91% 32 5% 96% 35 4 4% 100% What percent of the sample is 30 years old or younger? 12% 68% 91% 11 participantsStudent # 2 13 14 5 6 Study Hours 2 42 22 24 19 18 19 98 78 70 59 10 88 Given the above data set, what is the range for Exam grade? Note this data set is the same as in the prior question. 51 11 22 19 Exam Grade 55 91 88 88 33 39A federal regulatory agency is investigating an advertised claim that a certain device can increase the gasoline mileage of cars (mpg). Ten such devices are purchased and installed in cars belonging to the agency. Gasoline mileage for each of the cars is recorded both before and after installation. The data are recorded here. Car 1 2 3 4 5 6 7 8 9 10 n x s Before (mpg) 19.1 29.9 17.6 20.2 23.5 26.8 21.7 25.7 19.5 28.2 10 23.22 4.25 After (mpg) 25.8 23.7 28.7 25.4 32.8 19.2 29.6 22.3 25.7 20.1 10 25.33 4.25 Change (mpg) 6.7 −6.2 11.1 5.2 9.3 −7.6 7.9 −3.4 6.2 −8.1 10 2.11 7.54 (a) The cars in the study appear to have grossly different mileages before the devices were installed. Use the change data to test whether there has been a significant gain in mileage after the devices were installed. Use ? = .05. H0: ?after ?before Ha: ?after ?before t = p-value
- This is for my data analysis class. Please answer all parts of the question.Table 9.3 Total cholesterol in 25 patients after taking new statin drug. .. Population mean is 200. Cholesterol levels 219 191 198 214 163 264 248 182 235 209 152 148 145 189 213 230 181 180 100 219 102 249 282 188 264 D. b. Describe the effects of the statin drug on your sample. Do you see any change in the level of cholesterol after taking the drug? c. What is your research question? What are the null and alternative hypotheses? Decide if you want to do a one-tailed or two-tailed test. d. What test? Perform it? What is your critical value? Sketch a normal distribution and draw the critical value or values of z. f. What is your conclusion?