1. A perfectly competitive firm is a price taker. That is, no matter how much the firm produces, it can always sell its product at the current price. In other words, a perfectly competitive firm has no control over price; it simply treats the price of its output as given. Suppose that in a given economic sector, 40% of all the firms are expected to be perfectly competitive. If 15 firms from that sector are randomly selected, then

a. What is the probability that no more than 10 firms are perfectly competitive?
b. What is the probability that at least 6 of the selected firms are perfectly competitive?

2. Earning distribution of United Technology is normal; test the hypothesis that on average the quarterly earning is no more than 1.25 based on the sample of 25 quarters earning results which shows the sample mean 1.15 with the population variance of 0.89

Step by step method for testing the hypothesis under 5 step approach is discussed here. Excel template for each problem is also included. This template can be used to obtain the answers of similar problems.

1) Find the expected values of the following probabilities......
2) In a population of test scores not known to be probability distributions....
5) Using the sample limit theorem......
8) The null hypothesis that --- equals 75 for a sample of 25 subjects....
9) Test the null hypothesis that ---- equals 50 for a sampl

1) HypothesisTesting
A. For the statement: The mean amount of Pepsi in cans is at least 12 oz. Express the null hypothesisand the alternative hypothesis in symbolic form.
B. Find the z value for the following : The claim is u(mu) =12, and the sample statistics include n =36, xbar = 12.19 and s = .11
C. Determine whether

For its validity, all hypothesistesting depends heavily on the assumption that the sample that is used was drawn using probability sampling techniques.
Why is this important?
What can you do if you just cannot use a probability sampling technique? (For example, suppose there is no good sampling frame available for the popul

4. An experiment is set to test the hypothesis that a given coin is unbiased. The decision rule is the following: Accept the hypothesis if the number of heads in a sample of 200 tosses is between 90 and 110 inclusive, otherwise reject the hypothesis.
a) Find the probability of accepting the hypothesis when it is correct.

1. Let take for example that research in your area was providing behavior therapy with people who have neurological problems: Imagine that you are in charge of a research Assignment, and can choose to do research on anything.
a). What research question would you create?
b). Write out your research question and explain an

True or False: The probability of Type I error is referred to as the significance level of the test.
True
False
A Type II error is defined as:
rejecting a true null hypothesis.
rejecting a false null hypothesis.
failing to reject a true null hypothesis.
f

Considerable focus will be directed toward hypothesistesting methods, analysis, interpretation, and related SPSS application. In hypothesistesting is to create a testable research hypothesis. This hypothesis will be formalized and written as a null hypothesis (Ho) and an alternative or research hypothesis (Ha). Please see atta