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1. Explain the difference between the null and alternative hypothesis. Which one can be proven in a statistical sense?
2. What are the differences between one- and two- sample hypothesis tests? Describe the correct mathematical form for specifying the null and alternative hypotheses for both types of tests.
3. Explain Type I and Type II errors. Which one is controllable by the experimenter?
4. What is the difference between paired and independent samples?
5. Provide some practical examples from FINANCIAL SALES where regression models might be used.
6. Explain the difference between simple and multiple linear regression.
7. What do we mean by "significance of regression?"
Florida State University administers a test of mathematics placement to students when they first enter the university.
What is the best first glance prediction you can give the customer about the value of his house given your 2 variable linear regression analysis?
A coin was flipped 60 times and came up heads 36 times. Determine the critical value you would use to test whether proportion of heads is greater than 0.50 at 10% level of significance?
State the null and the alternative hypotheses. Using the p-value approach, test to determine whether or not the mean age of all employees is significantly more than 40 years.
Find the probability that a women develops breast cancer given that she has a family history of breast cancer._____________
Last school year, student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classificati..
If a proposal evaluator randomly selected two proposals, what is the probability that both of them met the specified?
The dimension is supposed to be 224 mm and the variability of the manufacturing process is unknown. Is there evidence that the mean dimension is not 224 mm?
What conclusions can you draw about the nature of the relationship between anxiety and exam performance?
The mean of a normal probability distribution is 60; the standard deviation is 5.
Use this information to make a 95% confidence interval to evaluate true average number of copies made each day at this company.
The dying rate in an industrial process is department of many factors and varies according to the following distribution.
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