Level Before Mineral 210 235 208 190 172 244 Level After Mineral 190 170 210 188 173 228 When doing a Hypothesis Test to test this dietitian's claim the Degree of Freedom used and the computed P-value are   A.) Degree of Freedom = 10 and P-value = 0.1349   B.) Degree of Freedom = 9.6562 and P-value = 0.1354   C.) Degree of Freedom = 5 and P-Value = 0.1688   D.) Degree of Freedom = 5 and P-value = 0.0844

A paper investigated the driving behavior of teenagers by observing their vehicles as they left a high school parking lot a then again at a site approximately mile from the school. Assume that it is reasonable to regard the teen drivers in this 2 study as representative of the population of teen drivers. Amount by Which Speed Limit Was Exceeded Female Driver -0.1 0.4 1.1 0.7 1.1 1.2 0.1 0.9 0.5 0.5 (a) Use a .01 level of significance for any hypothesis tests. Data consistent with summary quantities appearing in the pap are given in the table. The measurements represent the difference between the observed vehicle speed and the posted speed limit (in miles per hour) for a sample of male teenage drivers and a sample of female teenage drivers. (Use males #females Round your test statistic to two decimal places. Round your degrees of freedom down to the nearest whole number. Round your p-value to three decimal places.) t= df = P = Male Driver 1.4 1.2 0.9 2.1 0.7 1.3 3 1.3 0.6 2.1

Historically, Olympic officials have reported testosterone levels in general should be u = 538 ng/dL, with o = 189, with x being normally distributed. Summer Olympic sprinters (n = 8) from the U.S. were tested for testosterone levels the morning after the opening ceremonies. Their sample mean was ng/dL. Do these data indicate that the sprinters had an overall average testosterone level greater than 538? Use a = .05. State a, H,, H1, p-value, rejection, or non-rejection, and be certain to interpret your results.

A researcher hypothesizes that different colors of cars result in different average speeds.  To test this claim, she took a random sample of 20 people who own 4 different colors of colors of cars  (n = 20, N = 80, G = 4), and she then tracks their average speed on the highway for a week of driving.  The following ANOVA table has some of her results.  Please help her answer her research questions by completing the following ANOVA table below and answering the follow-up questions.  Be sure to label your answers with the appropriate letter and show all your work! Source  Sums of Squares     df   Mean Square        F     Effect (between)             Error (within) 100.90     ------ Total 170.10     ------- ------ a) What is the Sums of Squares (SS) between (effect)? b) What are the Mean Square (MS) between (effect) and the MS within (error)? c) What are the degrees of freedom (df) between, the df within, and the df total? d) What is the overall F-statistic? e) Based on the…