A researcher wanted to test an association between race/ethnicity (White, Latino, AfricanAm/Black, Asian/PI) and Asthma Status (yes, no). Provide an Interpretation for the following output: Chi-Square Tests Asymptotic Significance (2- sided) Value df Pearson Chi-Square 843.648 8 .000 Likelihood Ratio 1000.704 8 .000 Linear-by-Linear Association 255.174 1 .000 N of Valid Cases 1750 View Insert Format Tools Table Edit 12pt v V Paragraph BIUA >

A medical student at a community college in city Q wants to study the factors affecting the systolic blood pressure of a person (Y) Generally, the systolic blood pressure depends on the BMI of a person (B) and the age of the person A. She wants to test whether or not the BMI has a significant effect on the systolic blood pressure, keeping the age of the person constant. For her study, she collects a random sample of 125 patients from the city and estimates the following regression function: Y= 15.50 + 0..90B+1.15A. (0.55) (0 40) The test statistic of the study the student wants to conduct (Ho: B, = 0 vs. H, B, #0), keeping other variables constant is. (Round your answer to two decimal places.) At the 5% significance level, the student will ▼ the null hypothesis. Keeping BMIl constant, she now wants to test whether the age of a person (A) has no significant effect or a positive effect on the person's systolic blood pressure. So, the test statistic associated with the one-sided test the…

A recent study investigated the association between sudden cardiac death and smoking history in women from a large health system. The epidemiologist reviewed the electronic health records of women who died from sudden cardiac death (n=80) and women who died of non-cardiac causes (n=80). The investigator then reviewed these records for smoking history (smoking 1+ pack/day and smoking <1 pack/day) and identified the following results. Sudden Cardiac Death 38 42 Smoke 1+ pack/day Smoke <1 pack/day Calculate the most appropriate measure of association for these data (a)-round to the nearest tenth. Other Causes 10 70

Football and Brain SizeA study examines a possible relationship of football playing and concussions on hippocampus volume, in μL, in the brain. The study included three groups: controls who had never played football (Control), football players with no history of concussions (FBNoConcuss), and football players with a history of concussions (FBConcuss). The data is available in FootballBrain, and the side-by-side boxplots shown below indicate that the conditions for using the F-distribution appear to be met. b) Use technology to construct an ANOVA table. What is the F-statistic? What is the p-value? Round your answer for the F-statistic to two decimal places, and your answer for the p-value to three decimal places.F-statistic = ?p-value = ?   Group Hipp LeftHipp Years Cogniton Control 6175 2945 0   Control 6220 3075 0   Control 6360 3125 0   Control 6465 3160 0   Control 6540 3205 0   Control 6780 3340 0…

A 2012 suvey conducted by Idea Works provided data showing the percentage of seats avail- able when customers try to redeem points or miles for free travel. For each airline listed, the column labeled 2011 Percentage shows the percentage of seats available in 2011 and the column labeled 2012 shows the correponding percentage in 2012 (The Wall street Journal, May 17, 2012). Develop a scatter diagram with 2011 Percentage as the independent variable. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? Develop the estimated regression equation. Test for a significant relationship. Use α = 0.05. Did the estimated regression equation provide a good fit?

Expression levels of GeneA and GeneB were measured in 10 cell lines. The researcher would liketo know if expression levels of GeneA and GeneB are related.a. Use a parametric method to test if GeneA and GeneB are correlated.b. Use a non-parametric method to test if GeneA and GeneB are correlated. Carry out all above tests for α = 0.05.Please solve manually not using software program .

A professor wanted to study whether there was an association between a person's age and their likelihood to use social media. He surveyed members of Gen Z, Millennials, and Gen X. Below you will find the data that was collected: YES, use social media NO, do not use social media H₂: a=0.05 DF=_ Gen Z 78 11 a. Perform a Chi-Square Test for Association to see if there is evidence to show there is an association between age and likelihood to use social media? Ho: Conclusion: b. Fill in the blanks using your table: X²= Circle one: Millennials 124 19 Number of Gen Z that use social media= Total number of Gen Z surveyed = Gen X 79 24 P-value= Fail to Reject H. OR Reject Ho c. Use your survey results from part b to find a one-sample 95% confidence interval. d. According to an October 2022 study, approximately 93% of Generation Z use social media platforms. Does your confidence interval support or refute this claim?

Courtney and Lexi wondered if the distribution of color was the same for name-brand gummy bears (Haribo Gold) and store- brand gummy bears (Great Value). To investigate, they randomly selected 6 bags of each type and counted the number of gummy bears of each color. The data are presented in the table. Courtney and Lexi use a chi-square test for homogeneity to assess differences between the gummy bear brands. Do these data provide convincing evidence that the distributions of color differ for name-brand gummy bears and store-brand gummy bears at the a = 0.05 level? Survey Type Which of the following is false? Name Store Total Red 137 212 349 O Because the P-value of 0.7698 > a = 0.05, we fail Green 53 104 157 to reject Ho. There is not convincing evidence of a difference in the distribution of color for name- Yellow 50 85 135 Color Orange brand and store-brand gummy bears. 81 127 208 White 52 O x? = 1.81 94 146 Total O The hypotheses are Ho: There is no difference in 373 622 995 the…

What is the relative risk for the association between men and women vs COVID-19 infection? What do you conclude?

Is it possible to use STATcrunch to find the linear correlation coefficient instead of the formula?