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1. Briefly remind us of the two variables in your correlation and the operational definition of each.
2. State the null hypothesis and the alternative hypothesis (be sure to clearly label each one) for your correlation.
3. Explain what it would mean if we rejected the null hypothesis with an alpha level of .05. Be as specific as you can.
4. Explain the difference between a descriptive statistic and an inferential statistic in the context of your specific study. What does an inferential statistic tell us that a descriptive statistic doesn't tell us?
Suppose the Doctor would be content with 95% confidence. How does the decrease in confidence affect the sample size required?
Based on the result, does there to be an overall perception of 1 minute that is reasonably accurate?
If the population mean is estimated within two days, how many salespeople should be sampled?
A month of sales data are collected on sales of different types of computer products Run the t-tests to determine:
He randomly samples 45 oil wells throughout the United States and determines the mean output to be 10.7 barrels per day with a standard deviation of 1.3 barrels. Test the researcher's claim at the .025 level of significance.
Find the 95% confidence interval for the true population mean. Identify the point estimate for mean and margin of error.
Suppose 1.5 percent of the antennas on new Nokia cell phones are defective. For a random sample of 200 antennas, find the probability that:
At the 0.05 level of significance, test whether the software package has reduced the average time it takes to complete deliveries.
Using least squares regression analysis, what would you estimate demand to be for each month next year?
Supposing that both populations are normally distributed, construct a 99% confidence interval for the ratio of the two population variances.
Consider following data on exam scores of 10 randomly selected students: Compute 3rd quartile of the exam scores.
Suppose that combined verbal and math SAT scores follow a normal distribution with mean 896 and standard deviation 174. Suppose further that Peter finds out that he scored in the top 3% of SAT scores. Determine how high Peter's score must have bee..
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