A medical research team wants to know whether more than 85% of people who take a certain allergy medicine experience relief. Let p be the proportion who experience relief. A test will be made of H: p=0.85 versus H :p>0.85. Let p be the sample proportion of those who experience relief. Which value of p provides stronger evidence against H,: p = 0.86 or p = 0.99? The value (Choose one) V provides stronger evidence against H, because it is (Choose one) ▼ the null proportion, p=0.85.

When you are testing the difference between two means, it is not important to distinguish whether the samples are independent of each other. True

A doctor in Oklahoma City wants to know whether the average life span for heart disease patients at four hospitals in the city differ. The data below represents the life span, in years, of heart disease patients from each hospital. Perform an ANOVA test with a 10% level of significance to test whether the average life span of heart disease patients in Oklahoma City differs depending on the hospital that treats them Life Span of Patients Treated at Hospital 1: 8.1, 1.2, 7, 11.5, 21, 2, 15.3, 19.2, 10.5, 15.4, 12.7, 15.3, 12.1, 7.5, 11.4, 16.4, 26.7, 14.6, 1.5, 16.3, 12.6, 0.8, 18.2, 4.2, 9.6, 21, 16.3, 2.7 Life Span of Patients Treated at Hospital 2: 17.6, 11.6, 16.8, 5.2, 6.7, 3.2, 13.8, 12.5, 0.9, 6, 14.3, 1.8, 14.8, 10, 5.8, 15.2, 10, 3.7, 11.4, 21.6, 12.9, 0.5, 9.2, 13.9, 10.9 ▼ Part 1 of 4 Life Span of Patients Treated at Hospital 3: 8.5, 2.3, 11, 7.4, 14.8, 5.8, 11, 3.4, 10.9, 1.1, 5.9, 21.6, 12.5, 0.1, 15.5, 15.4, 0.8, 7.7, 5.6, 12, 7.1 Life Span of Patients Treated at Hospital…

The number of hours per week that the television is turned on is determined for each family in a sample. The mean of the data is 31 hours and the median is 27.2hours. Twenty-four of the families in the sample turned on the television for 16 hours or less for the week. The 8th percentile of the data is 16 hours.   Based on the given information, determine if the following statement is true or false. The first quartile is less than 16 hours.

A survey of 2255 randomly selected US adults found that 51% said they know all or most of their neighbors. Find 90% CI for the proportion of US adults they know most or all their neighbors. The sample size of 200 is large enough to use a normal distribution.

A researcher compares depressed and nondepressed individuals to see if they differ in the number of Instagram followers they each have. For this comparison an Independent-samples t test would be appropriate. False True

A statistician changes her level of significance from .001 to .05.  What impact will this change have on her risk of making a Type I and Type II error?  Is the change in the level of significance a good decision?  Why or why not?