The driver's reaction time in response to a particular potential traffic hazard is the time required from the point of initial detection of the hazard in one’s field of view to the time that vehicle control components are actuated (such as movement of one’s foot to the brake pedal). The following data represents the measurements of the driver’s reaction time in seconds for the male and female participants of the experiment: (a) Calculate the sample mean of the data. Calculate the sample variance of the data. Calculate the corresponding sample standard deviation. (b) Find the median and quartiles for the data. (c) Construct a box plot of the data. Find the interquartile range and determine the number of outliers. 0.50 0.49 0.45 0.54 0.44 0.49 0.51 0.48 0.51 0.53 0.51 0.63 0.69 0.76 0.76 0.85

A statistical program is recommended. The National Football League (NFL) records a variety of performance data for individuals and teams. To investigate the importance of passing on the percentage of games won by a team, the following data show the conference (Conf), average number of passing yards per attempt (Yds/Att), the number of interceptions thrown per attempt (Int/Att), and the percentage of games won (Win%) for a random sample of 16 NFL teams for one full season. Team Conf Yds/Att Int/Att Win% Arizona Cardinals NFC 6.5 0.042 50.0 Atlanta Falcons NFC 7.1 0.022 62.5 Carolina Panthers NFC 7.4 0.033 37.5 Cincinnati Bengals AFC 6.2 0.026 56.3 Detroit Lions NFC 7.2 0.024 62.5 Green Bay Packers NFC 8.9 0.014 93.8 Houstan Texans AFC 7.5 0.019 62.5 Indianapolis Colts AFC 5.6 0.026 12.5 Jacksonville Jaguars AFC 4.6 0.032 31.3 Minnesota Vikings NFC 5.8 0.033 18.8 New England Patriots AFC 8.3 0.020 81.3 New Orleans Saints NFC 8.1 0.021 81.3 Oakland Raiders AFC…

Find the standardized test , z to test the claim that p1 = p2. The sample statistics listed below are from independent samples.

Executives of a supermarket chain are interested in the amount of time that customers spend in the stores during shopping trips. The mean shopping time, μ, spent by customers at the supermarkets has been reported to be 38 minutes, but executives have good reason to believe that u is different from 38 minutes. The executives hire a statistical consultant and ask her to perform a statistical test. To perform her statistical test, the consultant collects a random sample of shopping times at the supermarkets. She computes the mean of these times to be 44 minutes and the standard deviation of the times to be 10 minutes. Based on this information, complete the parts below. (a) what are the null hypothesis Ho and the alternative hypothesis H₁ that should be used for the test? Ho H₁ :0 (b) Suppose that the consultant decides not to reject the null hypothesis. What sort of error might she be making? (Choose one) ▼ (c) Suppose the true mean shopping time spent by customers at the supermarkets is…

A chemist measures the haptoglobin concentrations (in grams per liter) in the blood of eight healthy adults.  Following are the values: 1.82   3.32   1.07   1.27   0.49   3.79   0.15   1.98  At the 2% significance level, test the claim that the mean haptoglobin concentration in adults is less than two grams per liter.    What type of error could you have made in your decision?

he data on the number of chocolate chips per bag for 42 bags of Chips Ahoy! cookies were obtained by the students in an introductory statistics class at the United States Air Force Academy in response to the Chips Ahoy! 1,000 Chips Challenge sponsored by Nabisco, the makers of Chips Ahoy! Use the data collected by the students to answer the following questions and to conduct the analyses required in each part. They found ¯xx¯ = 1261.6 and s = 117.6 a. Determine a 95% confidence interval for the mean number of chips per bag for all bags of Chips Ahoy! cookies. ≤μ≤≤μ≤  b. Interpret your result in words.    c. Can you conclude that the average bag of Chips Ahoy! Cookies contain at least 1000 chocolate chips?    yes no

Alpha equals 0.01 level of significance for the given sample data.

JOB x LIFE SATISF, PART 5 of 6. What is the observed F score value for these scores? A researcher is interested in the effect of employment on life satisfaction. He selects a random sample of 12 adults who are employed full time, employed part time, temporarily unemployed, or chronically unemployed. He provided a scale that assessed their life satisfaction on a scale that ranges from 0 (very dissatisfied) to 80 (very satisfied). His results are as follows: What is the observed F score value for these scores?