researcher wonders if the amount of sleep new parents get is associated with how grumpy they are. The researcher recruits a sample of 100 new parents and asks them (1) how many hours of sleep they are getting each night, (2) how many hours of sleep their baby is getting each night, and (3) how grumpy they 4 are on a scale from 0 (not at all grumpy) to 100 (very grumpy). They saved the results to a file called hwo_parenthood. cs. Load the data into jamovi and answer the following questions. 3. What is the value of the test statistic for each association? 4. What is the degrees of freedom for each association? 5. What is the precise p-value as reported by jamovi for each association? Make sure you report the value to at least three decimal places. 6. Which of the associations are significant?? 7. What is the direction of each association ? 8. What is the effect size for each association? Are they weak, moderate, or strong? 9. What does each of the associations mean in plain language?

Inspired by the example about how background music influences choice of entrée at a restaurant, a statistics student decided to investigate other ways to influence a person's behavior. Using 60 volunteers, she randomly assigned 20 volunteers to get a "red" survey, 20 volunteers to get a "blue" survey, and 20 volunteers to get a control survey. The first three questions on each survey were the same, but the fourth and fifth questions were different. For example, the fourth question on the "red" survey was "When you think of the color red, what do you think about?" On the blue survey, the question replaced red with blue. On the control survey, the last two questions were not about color. As a reward, each volunteer was allowed to choose a chocolate candy in a red wrapper or a chocolate candy in a blue wrapper. The table shows the result of the experiment. We want to test Ho: The distribution of candy choice is the same for subjects like these who receive the red survey, the blue survey,…

Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 3 females and 3 males and measured their MRI counts and IQ scores. The data is reported on the right. Females Males MRI IQ MRI 10 866,664 132 965,355 132 790,620 135 1,001,121 141 856,473 141 1,079,550 135 O Treat the MRI count as the explanatory variable. Compute the linear correlation coefficient between MRI count and IQ for both the males and the females. Do you believe that MRI count and IQ are linearly related? The linear correlation coefficient for females is. The linear correlation coefficient for males is. (Round to three decimal places as needed.) Are MRI count and IQ linearly related? linear The linear correlation coefficient for females is close to ▼so relation exists between MRI count and IQ for females. The linear correlation coefficient for linear relation exists between MRI count and IQ males is close to for males. SO

Researchers conducted two surveys about teens are their use of social media.  The first survey asked a random sample of 800 U.S. teens about their use of Instagram.  A second survey asked the same questions to a random sample of 2253 Canadian teens.  In these two studies, 73% of U.S. teens and 88% of Canadian teens said that they use Instagram.  Use these results to answer the following questions about the proportion of U.S. and Canadian teens that use Instagram.   Is there a statistically significant difference between the use of social media by U.S. teens and Canadian teens?      No, there is no difference between the proportion of U.S. teens that use Instagram and the proportion of Canadian teens that use Instagram because both the lower limit and the upper limit of the confidence interval are negative values.      Yes, the proportion of U.S. teens that use Instagram is significantly less than the proportion of Canadian teens that use Instagram difference because both…