### Ages of Race Car DriversListed below are the ages (years) of randomly selected race car drivers (based on data reported in *USA Today*). Construct a 98% confidence interval estimate of the mean age of all race car drivers.#### Ages:- 32- 32- 33- 33- 41- 29- 38- 32- 33- 23- 27- 45- 52- 29- 25To construct the confidence interval, apply statistical methods such as calculating the sample mean and standard deviation, then use the appropriate z-score or t-score for a 98% confidence level.

Given observation and calculation of mean and standard deviation is shown below Calculation: Sample…

20. Ages of Race Car Drivers Listed below are the ages (years) of randomly selected race car drivers (based on data reported in USA Today). Construct a 98% confidence interval esti- mate of the mean age of all race car drivers. 32 32 33 33 41 29 38 32 33 23 27 45 52 29 25

20. Ages of Race Car Drivers Listed below are the ages (years) of randomly selected race car drivers (based on data reported in USA Today). Construct a 98% confidence interval esti- mate of the mean age of all race car drivers. 32 32 33 33 41 29 38 32 33 23 27 45 52 29 25

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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(i) A sample consists of the following values: 10, 8, 6, 4 Determine the range of values within which the true value of the mean of the population has a 97.5% probability of lying. (ii) In order to increase accuracy a further four values are obtained. These are: 4.6, 6.8, 8, 9.5 With this extra information determine the range of values within which the mean value has a 97.5% probability of lying.
estioh 20 For a 4-unit class like Statistics, students should spend average of 12 hours studying for the class. A survey was done on 27 students, and the distribution of total study hours per week is bell-shaped with a mean of 14 hours and a standard deviation of 2.6 hours. Use the Empirical Rule to answer the following questions. a) 68% of the students spend between hours and hours on Statistics each week. b) 95% of the students spend between hours and hours on Statistics each week. c) 99.7% of the students spend between hours and hours on Statistics each week. Question Help: Written Example > Next Question DD 888 F9 80 FB F7 F6 F5 F4 F3 F2 F1 & 23 2$ 8. 9. 7 1 2 3 T Q W K H S F 8: < CO
Construct a 90% Confidence Interval based on the following data: 45, 55, 67, 45, 68, 79, 98, 87, 84, 82.
Customers waiting at Ellerton Bank have been complaining about the amount of time they must wait in line. Managers at the bank, beginning to investigate the problem, have recorded sample waiting times for 10 customers at the bank. Here are the 10 waiting times (in minutes). 22, 11, 15, 15, 16, 12, 23, 20, 22, 10 Send data to calculator (a) What is the median of this data set? If your answer is not an integer, round your answer to one decimal place. (b) What is the mean of this data set? If your answer is not an integer, round your answer to one decimal place. (c) How many modes does the data set have, and what are their values? Indicate the number of modes by clicking in the appropriate circle, and then indicate the value(s) of the mode(s), if applicable. 0 0 zero modes O one mode: two modes: O Dar and
24. Job Interviews In a Harris poll of 514 human resource professionals, 90% said that the appearance of a job applicant is most important for a good first impression. a. Among the 514 human resource professionals who were surveyed, how many of them said that the appearance of a job applicant is most important for a good first impression? b. Construct a 99% confidence interval estimate of the proportion of all human resource professionals believing that the appearance of a job applicant is most important for a good first impression. c. Repeat part (b) using a confidence level of 80%. d. Compare the confidence intervals from parts (b) and (c) and identify the interval that is wider. Why is it wider?
Sample 2 10, 15, 22, 1, 12, 1, 5, 12, 5, 6, 6, 1, 1, 25, 8, 10 what is the 95% Confidence interval to 11.69?
K Do freshmen spend significantly more time on social media than other class ranks? A recent study investigated the amount of time per day freshmen, sophomores, juniors, and seniors spent on social media while doing schoolwork. The students surveyed were U.S. residents from a 4-year, public, primarily residential institution. The accompanying computer output shows the mean time each cohort spent on social media and an ANOVA table. Construct a 95% confidence interval to compare the population mean time spent per day on social media between freshmen and seniors. Click the icon to view the summary statistics and ANOVA table. The 95% confidence interval is. (Round to one decimal place as needed.) View an ex NOV 9 Summary Statistics and ANOVA Table 6 n tv Mean Std. Dev. Source DF Class Error Total F6 FR 443 62.5 71.6 SS 99509 3 1562 7927979 1565 8027488 Print SO 330 56.5 68.5 MS 33170 5076 JU 383 72.0 80.9 Done 8 F 6.53 FB SE 410 50.4 62.9 P 0.000 ZA 9 F9 X k answer
The length of a 95% confidence interval for mean Age is which of the following? (Because of potential roundoff, choose the closest.)
A certain test preparation course is designed to help students improve their scores on the GMAT exam. A mock exam is given at the beginning and end of the course to determine the effectiveness of the course. The following measurements are the net change in 77 students' scores on the exam after completing the course: 20,18,2,4,15,15,1020,18,2,4,15,15,10 Using these data, construct a 80% confidence interval for the average net change in a student's score after completing the course. Assume the population is approximately normal
Stress levels measured to scale among top company executives are given by the sample data: 98, 75, 92, 80, 86, 91. Find the 98% Confidence Interval for the mean stress level among these executives. O 71.29 to 80.45 O 75.50 to 98.50 89.60 to 82.24 85.23 to 89.64
True or False A 95% confidence level in a mean number of minutes that it takes for an amublance to arrive after a 911 call is (4.2, 7.4). Then there is 95% chance that a randomly selected emergency will have an ambulance response time between 4.2 and 7.4 minutes.