An investigation was carried out to study possible consequences of the high incidence of head injuries among soccer players. Three groups of college students (soccer athletes, nonsoccer athletes, and a control group consisting of students who did not participate in intercollegiate sports) were considered in the study. The following table gives information on scores from the Hopkins Verbal Learning Test (which measures immediate memory recall). In addition = 30.1140. Sample size Sample mean score Sample standard deviation Soccer Athletes 87 30.90 3.93 Nonsoccer Athletes 96 29.94 5.34 Control 52 29.12 3.58 Suppose that it is reasonable to regard these three samples as random samples from the three student populations of interest. Is there sufficient evidence to conclude that the means for Hopkins score are not the same for the three student populations? Use α = 0.05. (Round your answer to two decimal places.) F = Use technology to find the P-value. (Round your answer to four decimal places.) P-value = What can you conclude? O Reject Ho. The data provide convincing evidence that the means for Hopkins score are not the same for the three student populations. O Fail to reject Ho. The data provide convincing evidence the means for Hopkins score are not the same for the three student populations. O Fail to reject Ho. The data do not provide convincing evidence that the means for Hopkins score are not the same for the three student populations. O Reject Ho. The data do not provide convincing evidence that the means for Hopkins score are not the same for the three student populations.

To investigate the impact of texting while driving on road traffic accidents (RTA), two groups of study participants were recruited; Group A was involved in an RTA in the 30 days that preceded the study, unlike Group B. Participants from both groups were asked questions regarding the history of their driving attitudes, including texting while driving. What measure of statistical association would be derived? Odds ratio       Relative risk       T-test       Analysis of variance       Mea

Studies indicate that excessive noise at night can affect weight gain. One study of n = 127 rats compared the weight gain of rats exposed to excessive noise at night and the weight gain of rats in a quiet night environment. Sample statistics for the study are given in the table below. Use this information to determine if there is significant evidence that weight gain of rats exposed to excessive noise at night is different on average than weight gain of rats in a quiet night environment.        Excessive noise at night environment  (Group 1)   Quiet night environment  (Group 2) Sample mean (grams) 22.4 19.9 Sample standard deviation (grams) 6.4 3.8 Observations/Sample size 69 58       Which of the following formulas would you use to calculate the test statistic? and calculate the test statistic to two decimal places (2dp). Test statistic =

At the .01 significance level, does the data below show significant correlation? x    y5    306    26.377    17.848    24.019    19.9810    20.8511    17.9212    18.5913    18.0614    18.1315    20.6Yes, significant correlationNo

Statisic and prob . Sampling distribution

An insurance company is trying to determine if there is a significant difference in the mean approval based on education level. The accompanying approval data comes from a sample of customer. Additionally, you will find a partially completed ANOVA table, complete the table, use it to address the following questions. Use a significance level of 0.01. SUMMARY Groups College Grad Count Sum Average Variance 9 31 3.44 1.03 Grauate Degree 8 36 4.50 0.57 Some College 7 22 3.14 1.48 Determine the null hypothesis and the alternative hypothesis. Ho H₁ Find the F-test statistic. F= (Type an integer or decimal rounded to two decimal places as needed.) Find the p-value. p= ☐ (Type an integer or decimal rounded to three decimal places as needed.) What is the critical value of the test statistic: (Type a decimal rounded to two decimal places.)

For each scenario listed on the left, determine whether the scenario represents an Independent Samples or Dependent/Paired Samples situation by placing the appropriate letter in the box provided. Comparing the reading ability of 5th graders and high school students v Comparing pain levels before and 20 minutes after a pain-reducing medicine Comparing college GPAS of the Mom and the Dad of each honor student in a class Comparing the average GPA of the male versus the female honor students in a college a. Independent Samples b. Dependent/Paired Samples

Q3. Paired sample t test can be used in an analysis involving pre-test and post-test data or in cross-over trials. YesB. NoC. None of the above

You want to run an ANOVA looking at the effect of attending review sessions on students’ statistics grades. Which of the following would be included in the F-ratio for an independent-measures ANOVA but would not be included in the F-ratio for a repeated-measures ANOVA? a)Individual students’ baseline level of skill at statistics b)Between-groups variance c)The amount of benefit students receive from the review sessions d)Measurement error

Consider the following set of data:Suppose the test statistic turned out to be z = -1.20 (not the correct value). Find a two-tailed p-value for this test statistic. Select one: A. p-value = .6151 B. p-value = .3849 C. p-value = .2302 D. p-value = .1151