Hi, I need help with these questions. Thank you.

e testing the claim that the proportion of men who own cats is larger than the proportion of women who own cats. You sample 90 men, and 75% own cats. You sample 150 women, and 25%% own cats. Find p (p-bar), as a decimal, rounded to two decimal places. You are testing the claim that the mean GPA of night students is different from the mean GPA of day students. You sample 40 night students, and the sample mean GPA is 2.97 with a standard deviation of 0.32. You sample 25 day students, and the sample mean GPA is 2.62 with a standard deviation of 0.72. Test the claim using a 1% level of significance. Assume the population standard deviations are unequal and that GPAs are normally distributed What are the correct hypotheses? Ho: Select an answer v = Select an answer v H1: Select an answer v ? v Select an answer Based on the hypotheses, find the following: Test Statistic = (Rounded to 3 decimal places.) Critical Values = + (Just enter the positive CV, rounded to 3 decimal places. For this calculation, if you do not have a Ti-84 and the degrees of freedom is not on Table F, then please use the =T.INV(Area to left, df) function in GoogleSheets to report the answer accurate to three decimal places.) The correct decision is to Select an answer The correct summary would be: |Select an answer that the mean GPA of night students is different from the mean GPA of day students. Two samples are taken with the following sample means, sizes, and standard deviations x1 = 27 n1 = 73 81 = 2 C I2 = 24 n2 = 64 $2 = 5 Find a 91% confidence interval for difference in means. Note: If you do not have a Ti-84 and the degrees of freedom is not on Table F, then please use the =T.INV(Area to left, df) function in GoogleSheets to find the critical value to 3 decimal places. Round your interval end points to the nearest whole number. A school administrator wants to see if there is a difference in the number of students per class for Portland Public School district (group 1) compared to the Beaverton School district (group 2). Assume the populations are normally distributed with unequal variances. A random sample of 26 Portland classes found a mean of 33 students per class with a standard deviation of 3. A random sample of 25 Beaverton classes found a mean of 32 students per class with a standard deviation of 5. Find a 99% confidence interval in the difference of the means. Note: If you do not have a Ti-84 and the degrees of freedom is not on Table F, then please use the =T.INV(Area to left, df) function in GoogleSheets to find the critical value to 3 decimal places. Round your interval end points to the nearest whole number.