A popular, nationwide standardized test taken by high-school juniors and seniors may or may not measure academic potential, but we can nonetheless attempt to predict performance in college from performance on this test. We have chosen a random sample of students just finishing their first year of college, and for each student we've recorded her score on this standardized test (from 400 to 1600) and her grade point average (from 0 to 4) for her first year in college. The data are shown below, with x denoting the score on the standardized test and y denoting the first-year college grade point average. The least-squares regression line for these data is y = 1.1279+0.0015x. This line is shown in the scatter plot below. Standardized Grade point average, test score, X 1010 3.08 900 2.82 1260 3.34 36- 1510 3.48 34- 1100 2.32 32- S70 2.27 1360 3.59 28- 26- 800 2.35 24- 940 2.19 22- 1060 2.90 1210 2.73 1490 3.06 12 isie 990 2.37 Standardized test score, X 1390 2.98 1280 3.06 Send data to calculator Send data to Excel Based on the sample data and the regression line, complete the following. (a) For these data, standardized test scores that are greater than the mean of the standardized test scores tend to be paired with grade point averages that are (Choose one) |the mean of the grade point averages. (b) According to the regression equation, for an increase of one point in standardized test score, there is a corresponding increase of how many points in grade point average? () From the regression equation, what is the predicted grade point average when the standardized test score is 1510? (Round your answer to at least two decimal places.) Gra de point average, y

A popular, nationwide standardized test taken by high-school juniors and seniors may or may not measure academic potential, but we can nonetheless attempt to predict performance in college from performance on this test. We have chosen a random sample of students just finishing their first year of college, and for each student we've recorded her score on this standardized test (from 400 to 1600) and her grade point average (from 0 to 4) for her first year in college. The data are shown below, with x denoting the score on the standardized test and y denoting the first-year college grade point average. The least-squares regression line for these data is y = 1.1279 +0.0015x. This line is shown in the scatter plot below. Standardized Grade point test score, x average, y 1010 3.08 900 2.82 1260 3.34 3.6- 1510 3.48 3.4- 1100 2.32 3.2. 870 2.27 2.8. 1360 3.59 2.6+ 800 2.35 2.4- 940 2.19 2.2 1060 2.90 1.8. 1210 2.73 1490 3.06 800 900 1000 1100 1200 1300 1400 1500 990 2.37 Standardized test…

In a study researching how donating to charity can affect a person's happiness, 96 participants were given $5 a day for one week. Each participant was randomly assigned to one of two groups. Those assigned to the first group were asked to spend the money on themselves, and those assigned to the second group were asked to donate the money to charity. At the end of the week, all of the participants were asked to rate their overall level of happiness on a scale from 0 to 100, with higher scores indicating greater levels of happiness. Which of the following are the appropriate null and alternative hypotheses to test whether the sample data provide convincing statistical evidence that donating to charity results in greater happiness than spending on oneself, on average? Ho self- "charity = 0 (A) Ha self charity >0 Ho self Mcharity=0 (B) Ha self charity 0 (E) Ha self = Mcharity <0

In​ statistics, the data we work with is just one part of a bigger picture called the​ ____. In​ statistics, the data we work with is just one part of a bigger picture called the

A randomly sampled group of patients at a major U.S. regional hospital became part of a nutrition study on dietary habits. Part of the study consisted of a 50-question survey asking about types of foods consumed. Each question was scored on a scale from one (most unhealthy behavior) to five (most healthy behavior). The answers were summed and averaged. The population of interest is the patients at the regional hospital. A prior survey of patients had found the mean score for the population of patients to be μ=2.9 After careful review of these data, the hospital nutritionist decided that patients could benefit from nutrition education. The current survey was implemented after patients were subjected to this education, and it produced the following sample statistics for the 15 patients sampled: x¯=3.5 and s=1.2 We would like to know if the education improved nutrition behavior. We test the hypotheses H0:μ=2.9 versus Ha:μ>2.9. The tt test to be used has the test statistic:   Answer:

A popular, nationwide standardized test taken by high-school juniors and Españ seniors may or may not measure academic potential, but we can nonetheless attempt to predict performance in college from performance on this test. We have chosen a random sample of students just finishing their first year of college, and for each student we've recorded her score on this standardized test (from 400 to 1600) and her grade point average (from o to 4) for her first year in college. The data are shown below, with x denoting the score on the standardized test andy denoting the first-year college grade point average. The least-squares regression line for these data is 1.1239+0.0015x. This line is shown in the scatter plot below. Standardized test score, .x 1360 1100 790 1280 890 Grade point average, y 3.77 2.28 2.35 2.91 2.64 2.22 3.18 3.34 2.36 3.30 3.02 2.88 860 1400 1510 1000 1250 1060 1210 1020 940 1510 Send data to calculator ✓ Send data to Excel 3.07 2.29 3.01 Grade point average, 34- 324 900…

Lynn University wants to examine whether students display better academic performance in class versus online. They have collected GPAs of two different samples of students, a sample from classes that take place in-person and a sample from classes that take place online. The data set is below. They predict that in-class students perform better than online students.  GPA's In Class GPA Online GPA 4.0 4.0 3.5 2.2 3.7 3.3 3.5 3.7 2.0 2.5 3.2 3.8 3.3 3.8 What type of t-test should we use for this research question?  Group of answer choices a) One sample b)  Independent samples c) Paired Samples

I only need help with the last 2 please

A researcher is interested in the relationship between age and golf performance. The researcher claims that golf performance improves with age, that is, as one gets older, his or her golf scores decrease. [In golf, a low score represents better performance; a higher score represents worse performance.] The researcher randomly selects a group of eight golfers at the local golf course and records their ages and their most recent golf score. The data that were collected are presented below: Golfer's Name Diego Tiger Bogart Marilyn Jennifer Mitch Bubba Amber Age (years) Variable 1 23 14 38 43 49 36 72 Golf Score Variable 2 92 112 77 84 81 72 79 86 Which of the following are the correct statements of the null and alternate hypotheses, Ho and HA? O Ho: M₁ M₂ and HA: H1 H₂

Do people feel hungrier after sampling a healthy snack?  Researchers randomly assign volunteers into one of three groups.  The people in the first group were asked to taste a snack that was billed as a new health bar containing high levels of protein, vitamins, and fiber.  The people in the second group were asked to taste the same snack but there told it was a tasty chocolate bar with a raspberry center.  After tasting the snack, participants were asked to rate their hunger on a scale from 1 (not at all hungy) to 7 (very hungry).  The people in the third group were asked to rate their hunger but were not given a snack.   Healthy Tasty No Snack 8 3 3 7 1 3 7 3 5 4 2 6 5 6 5 ­a.  Perform a complete one-way ANOVA hypothesis test.  Test at the .05 level of significance.