Select the term that best fits this definition: This term equals this:

Based on the following research question: Do people who on average eat at least 8 servings of fruit per day have a lower likelihood of having diabetes than those who on average eat at at most 4 servings of fruit per day?   The variable average number of servings of fruit eaten per day is the [answer1] The variable having diabetes is the [answer2]

It is known that people in the USA spend on average 18 hours a day using electronic devices with a standard deviation of 5.8 hours. This data follows a normal distribution. What is the probability someone spends more than 20 hours using electronic devices a day? (round your answer to 4 decimals)

Select the term that best fits this definition: As n increases the shape of the distribution will look more and more like a normal distribution

If a researcher is given a list of all 51,000 students that go to the university and each student has a 10% chance of being selected to participate in the study, what type of sampling has occurred?

Ethnicity of USF students is

It is known that the population standard deviation of weight among females is 30. Assuming that we have a random sample of 210 and a sample mean of 127, what would be your 90% confidence interval estimate of the population mean weight?

3 students apply to a PhD program.  The program rejects 25% of all applicants.  Students are accepted and rejected independently of each other.  Let the random variable X represent the number of the 3 students who get rejected into the PhD Program.   What is the probability that 1 student is rejected to the program if it is known that at fewer than 2 students will be rejected? (round your answer to 4 decimal places) (Hint: Binomial distribution with P=25% and n=3, and conditional probability)

Select the term that best fits this definition: This equals the expected value of a sample proportion for a sampling distribution

What is the clinical name of a probability that is used to determine the likelihood of someone having a positive test when it is known they do have the disease.