Parametric tests use or rely on distribution.

Non parametric tests don't rely on any distribution.

**Another criterion of choosing an appropriate test by representative of data and sample size. If average is representative of data and sample size is large (more than 30) then use a parametric test. If median is representative of data and sample size is large then use non parametric test.

A researcher measures the proportion of schizophrenic patients born in each season.

This is a study about proportion so no assumption of any distribution. This makes it a non-parametric test.

A researcher measures the average age that schizophrenia is diagnosed among male and female patients.

This test shows averages so we use a parametric test which will be supported by distribution, then the appropriate test can be used.

A researcher tests whether frequency of Internet use and social interaction are independent.

This is a measurement test for independence between two things, we can use Chi-Square test for independence, and it is supported by chi square distribution. Chi-square is a non-parametric test with no rigid assumptions in respect of the type of population necessary, only degrees of freedom. are necessary in respect of the type of population. We require only implicit degrees of freedom.

A researcher measures the amount of time (in seconds) that a group of teenagers uses the Internet for school-related and non-school-related purposes

This one is uses each data point or time so we can use a non-parametric test because it will include all data point for consideration.

A large company has claimed that the standard deviation of the monthly incomes of their employees is less than or equal to $120. To lest their claim, a random sample of 76 employees of the company was taken; and it was determined that the standard deviation of their incomes was $135. At 90% confidence, test the company's claim Select one: If chi (calculated)> chi, (critical) reject Ho, otherwise, do not reject Ho Since chi -94.97 : chi penuical #96.071, we reject Ho O b If chi (calculatedja chiapas, (critical) reject Ho. otherwise, do not reject H Since chia-94.92 Chi perusal #91.061, we reject He If chi (calculated)s= chi-, (critical) reject Ho. otherwise, do not reject H. Since chi- -95.91. Chi jalal -94.061, we reject Ho. If chi (calculatedje- chi's (critical) accept Ho, otherwise, do not reject H Since chi- -93.92 : Familial -91.161, we reject Ho If chi' (calculated) 11.2a Chi-Square Goodness-of-Fit lest Chi-Square Goodness-of-Fit Test Question Manufacturers are testing a die to make sure that it is fair (has a uniform distribution). They roll the die 54 times and record the outcomes in the table below. Find the test statistic, x,, for the chi-square goodness-of-fit test. Round the final answer to three decimal places. x8 = E (0 - E)2 E Outcome 2 3 5 6 Expected 9 19 9 9 19 Observed 17 7 13 10 8 Provide your answer below: chi-square lest statistic IS Your Amazon..html 1...docx COMM-01 Fin...docx Image 5-16-2...JPG 433 W P X N