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Please answer the following questions.
1. Which hypothesis is the one you actually test?
2. When do you use a one-tailed test?
3. How do you find the critical values for one-and two tailed tests?
4. When do you reject the null hypothesis? Under what circumstances is the null accepted?
5. What does the Central Limit Theorem state?
6. Why do you need to calculate a standard error of the mean?
7. How is the standard error related to other measures of variability?
8. What does the confidence interval tell you and how does this differ from a "point estimate?"
Explain why the polls that are so frequently quoted during early returns on Election Day TV coverage are an example of cluster sampling.
Develop a 99% confidence interval for the population proportion.
Population standard deviation of 4 inches. For any one person selected at random, find out the probability that their height will be?
The wheat harvesting season is short. Farmers deliver their truck loads of wheat to a giant central storage bin within a two-week span. Because of this, wheat-filled trucks waiting to unload and return to the fields have been known to back up for ..
Construct a 95 percent confidence interval for the true mean.
In certain normal distribution of scores, mean is 50 and standard deviation is 4. Determine z-score corresponding to a score of 55.
Construct a 95% confidence interval on the population mean for the following sample data set:
Suppose you went to the Bureau of Labor Statistics web site and found several predictors of your salary. State three possible predictors and a simulated multilinear regression equation along with their p-values. What does your p-values tell you ab..
Can we conclude that there is a difference in number of citations written between the officers? Use the 0.05 level of significance.
Four different types of fertilizers are used on raspberry plants. The number of raspberries on each randomly selected plaint is given below.
Diastolic blood pressure are assumed to follow a normal distribution with a mean of 85 and a standard deviation of 12.
The mean monthly income of the trainees of an engineering firm is $600, with a standard deviation of $100. Find the probability that an individual trainee earns less than $500 per month.
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