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Twenty students randomly assigned to an experimental group receive an instructional program; 30 in a control group do not. After 6 months, both groups are tested on their knowledge. The experimental group has a mean of 38 on the test (with an estimated population standard deviation of 3); the control group has a mean of 35 (with an estimated population standard deviation of 5). Using the .05 level, what should the experimenter conclude? (a) Use the steps of hypothesis testing, (b) sketch the distributions involved, and (c) explain your answer to someone who is familiar with the t test for a single sample but not with the t test for independent means.
Box 1 has 3 chips numbered 1,2,3. Box 2 has 2 chips numbered 1 and 2. Suppose a chip is randomly selected from box 1 and placed in box 2.
The manufacturer of an airport baggage scanning machine claims it can handle an average of 530 bags per hour.
The mean number of passengers per cruise is 1,820 and the standard deviation is 120.
The insurance company charges an annual rate of $250 for the collision coverage. What is the expected value of the collision policy holder?
A university has found that 20% of its students withdraw without completing the introductory statistics course. Assume that 20 students have registered for the course this semester.
Certo has complained that he was misrated on his January mission. Both ratings should be 10's, he claims to the chief, who agrees and recomputes the schedule. Do any changes occur over the schedule set in part (b)? What are the strengths and weakn..
particular cookie will have fewer than 5. What type of probability distribution will most likely be used to analyze the number of chocolate chips per cookie?
Either about $800,000 or about $2.2 million depending on which "average" it used. Which type of "average" does the $800,000 represents?
At α = 0.10 test the claim that there is a difference in means of the salaries. (a) State the Hypotheses: (b) Compute the Test statistic: (Round off correctly)
Suppose we estimate this model with OLS, and there is a correlation between unobserved student traits (in the error term) with attendance. How does this bias the coefficient of attendance?
What is coefficient of determination? Calculate F statistic. (Hint: You must complete the table to answer the question.)
A two tailed test is conducted at 5% significance level what is the P-value required to reject the null hypothesis.
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