The data from car crash tests for four different vehicle size categories (Small, Midsize, Large, and SUV) with measured amounts of left leg femur force (kN) results in the following Minitab display. Using a 0.05 significance level, test the claim that the four vehicle size categories have the same mean force on the femur of the left leg. Does size of the car appear to have an effect on the force on the left femur in crash tests Analysis of Variance Source Size Error Total DF 3 48 51 Ho: Adj SS 0.5088 18.4992 19.0080 Determine the null hypothesis. Adj MS 0.1696 0.3854 Determine the alternative hypothesis. H₁: Determine the test statistic. The test statistic is (Round to two decimal places as needed.) Determine the P-value. F-Value 0.44 P-Value 0.725 The P-value is. (Round to three decimal places as needed.) Does size of the car appear to have an effect on the force on the left femur in crash tests? Ho. There sufficient evidence at a 0.05 significance level to warrant rejection of the claim that the four vehicle size categories have the same mean force on the left femur i crash tests.

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

A​ case-control (or​ retrospective) study was conducted to investigate a relationship between the colors of helmets worn by motorcycle drivers and whether they are injured or killed in a crash. Results are given in the accompanying table. Using a 0.05   significance​ level, test the claim that injuries are independent of helmet color.       Color of Helmet         Black White Yellow Red Blue     Controls​ (not injured)   472 352 30 163 70     Cases​ (injured or​ killed)   201 106 8 67 34       Click here to view the chi-square distribution table. LOADING...       Identify the null and alternative hypotheses. Choose the correct answer below.   A. Upper H 0 ​: Whether a crash occurs and helmet color are independent Upper H 1 ​: Whether a crash occurs and helmet color are dependent   B. Upper H 0 ​: Whether a crash occurs and helmet color are dependent Upper H 1 ​:…

To determine if there is gender and/or race discrimination in car buying, a researcher put together a team of white males, black males, white females, and black females who were each asked to obtain an initial offer price from the dealer on a certain model car. The accompanying data are based on the results and represent the profit on the initial price offered by the dealer. Previous testing resulted in rejecting Ho: PWM HBM =HWF = HBF and concluding that the mean profit for the four race-gender groups differ. Use Tukey's test to determine which pairwise means differ using a familywise error rate of a = 0.05. Click the icon to view the data table. Use Tukey's test to determine which pairwise means differ using a familywise error rate of a = 0.05. Find the Tukey 95% simultaneous confidence intervals for all pairwise comparisons. The interval for the pairwise comparision HBM HWM is The interval for the pairwise comparision pwFPWM is The interval for the pairwise comparision HBF HWM is…