Conduct a one-sample T-test of the mean of Cost of claim compared to a population mean=80.

Conduct a one-sample T-test of the mean of Cost of claim compared to a population mean=80.

Conduct a one-sample T-test of the mean of Cost of claim compared to a population mean=80. 150 150 Nyagu

You will use the Insurance_claim data for Q1, Q2, and Q4.

Q1 Conduct a one-sample T-test of the mean of Cost of claim compared to a population mean=80.

Test a two-sided hypothesis of the relationship between the Cost of claim mean and the population mean
Test a one-sided hypothesis of the relationship between the Cost of claim mean and the population means, indicate the direction of the one-sided hypothesis you tested.
What is the t statistic?
What is the p-value for both hypotheses?
Do you reject the null hypothesis in both tests?

Q2 Conduct an independent sample T-test of the relationship between amount of coverage and retirement.

Test a two-sided hypothesis of the relationship between amount of coverage and retirement
Test a one-sided hypothesis of the relationship between amount of coverage and retirement, indicate the direction of the one-sided hypothesis you tested.
What is the t statistic?
What is the p-value for both hypotheses?
Do you reject the null hypothesis in both tests? Why?

Q3 Use the glucose measurement data. Conduct a dependent sample T-test of the relationship between two glucose measurements on the same patients.

Test a two-sided hypothesis of the difference between Minutes_120 and Minutes_0
Test a one-sided hypothesis of the difference between Minutes_120 and Minutes_0, indicate the direction of the one-sided hypothesis you tested.
What is the t statistic?
What is the p-value for both hypotheses?
Do you reject the null hypothesis in both tests? Why?