2. a). The term error is used in two different ways in hypothesis testing: a Type I error (or Type II) and the standard error. What can a researcher do to influence the size of the standard error? Does this action have any effect on the probability of a Type I error? b). What are the major steps involved in hypothesis testing?

A. Suppose we want to test whether or not three means are equal. We want to perform this test with a 8% significance level.If we perform an ANOVA test, what is the probability of the test producing accurate results (avoiding a Type I error)? B. Suppose we, instead, run three separate hypothesis tests (t-tests), each with 8% significance level. Mean 1 = Mean 2Mean 1 = Mean 3Mean 2 = Mean 3What is the probability that all three tests would be accurate? C. Why is an ANOVA test more accurate than 3 different tests?

If the null hypothesis is false, you cannot make which kind of error? Type I Type II

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A researcher is looking at a new marketing campaign for a product. After 200 people watched the marketing campaign about 60 percent liked the product. Prior to the marketing campaign the product was liked by about 50 percent of people.  What is the expected number of people that do not like the product if the null hypothesis is true and what is the observed number of people that do not like a product after watching the marketing campaign?

30. A researcher had originally planned to collect a sample of size 200, and conduct a hypothesis test with a 5% significance level. Now, she has decided instead to collect a sample of size 300, and conduct a hypothesis test with a 1% significance level. How will this change affect the A probabilities of type I and type 2 error? The probability of type 1 error will decrease, and the probability of type 2 error will increase. The probability of both type 1 and type 2 error will decrease. The probability of type 1 error will decrease, but it's impossible to determine whether the probability of type 2 error will increase or decrease. The probability of type 1 error will increase, and the probability of type 2 error will decrease. The probability of type 2 error will decrease, but it's impossible to determine whether the probability of type 1 error will increase or decrease.