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Question 4 3 pts The Virginia 200 in Norfolk VA keeps track of the percentage of individuals with season passes according to their home neighborhood

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Question 4 3 pts The Virginia 200 in Norfolk VA keeps track of the percentage of individuals with season passes according to their home neighborhood in Norfolk. A federal grant investigator would like to show that this distribution of neighborhoods for individuals buying season passes is different from what the zoo claims. The investigator randomly sampled 150 individuals entering the 200 with a season pass and recorded the home neighborhood of each individual. Home Neighborhood Broad Creek OUtSIde Norfolk The investigator will use the data to test the 200's claim which is reected in the following null hypothesis: H0: ch=o.2o, pG=O.36, pN=0.18, pOV=0.22, pON=0.O4 Verify the conditions for inference: Independenc- V [Select] Each individual is independent. There must be at least 150 pass holders Data was collected using a random sample. There must be at least 1500 season pass holders. Large Counts: Question 4 3 pts The Virginia 200 in Norfolk VA keeps track of the percentage of individuals with season passes according to their home neighborhood in Norfolk. A federal grant investigator would like to show that this distribution of neighborhoods for individuals buying season passes is different from what the zoo claims. The investigator randomly sampled 150 individuals entering the 200 with a season pass and recorded the home neighborhood of each individual. Home Neighborhood Broad Creek Outside Norfolk The investigator will use the data to test the 200's claim which is reected in the following null hypothesis: H0: ch=o.2o, pG=O.36, pN=0.18, pOV=O.22, pON=0.O4 Verify the conditions for inference: Independence: [Select] Large Counts V [SBIBCt] All observed counts are greater than 5 All expected counts are greater than 5 Question 8 3 pts The Virginia 200 in Norfolk VA keeps track of the percentage of individuals with season passes according to their home neighborhood in Norfolk. A federal grant investigator would like to show that this distribution of neighborhoods for individuals buying season passes is different from what the zoo claims. The investigator randomly sampled 150 individuals entering the 200 with a season pass and recorded the home neighborhood of each individual. Home Neighborhood Broad Creek OutSIde Norfolk The investigator will use the data to test the 200's claim which is reected in the following null hypothesis: H0: ch=o.2o, pG=O.36, pN=0.18, pov=0.22, p0N=O.O4 Assuming the conditions for inference have been met, calculate the test statistic, degrees of freedom, and p-value for this test. Test Statistic: [ Select] v Degrees of Freedom : [SEIECH V p-value: [59'9\"] V Question 13 3 pts Severe childhood adversity accounts for a large portion of psychiatric illness, and an increased risk for major depressive disorder (M DD). In an observational study, a simple random sample of 160 adults from the Northeast was categorized by whether they currently have or have had MDD, have not been diagnosed with MDD but have been diagnosed with depression at least once, or have no instances of MDD or other types of depression. Each participant was also categorized by whether or not they experienced severe childhood adversity. The data is shown in the table below: Severe Childhood No Severe Childhood Adversity Adversity \" Depression No MDD but Depression . . 27 12 DlagnOSlS Researchers are investigating whether the study provides convincing statistical evidence that there is an association between severe childhood adversity and depression. Verify the Conditions: lndependenc- V [59'9\"] All participants are independent since they could not know each other Participants were selected using a SRS. There are more than 1600 adults in the Northeast. Large Counts: Question 13 3 pts Severe childhood adversity accounts for a large portion of psychiatric illness, and an increased risk for major depressive disorder (MDD). In an observational study, a simple random sample of 160 adults from the Northeast was categorized by whether they currently have or have had MDD, have not been diagnosed with MDD but have been diagnosed with depression at least once, or have no instances of MDD or other types of depression. Each participant was also categorized by whether or not they experienced severe childhood adversity. The data is shown in the table below: Severe Childhood No Severe Childhood Adversity Adversity \" Depression No MDD but Depression _ , 27 12 DlagnOSIS Researchers are investigating whether the study provides convincing statistical evidence that there is an association between severe childhood adversity and depression. Verify the Conditions: Independence: l5lectl Large Counts " [ Select 1 All observed counts are at least 5 All expected counts are at least 5

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