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Explain the difference between a left tail, two-tailed, and right tailed text. When would we choose a two tailed test? How can we tell the direction by looking at a pair of hypothesis? How can we tell which direction (or no direction) to make the hypothesis by looking at the problem statement (research question)?
Find the probability that a man and woman are watching the schow at the same time. (This question confused me because it sounds like the statement I just wrote before this one)
Consider a binomial distribution with 15 identical trials, and a probability of success of 0.5. Find the probability that x = 2 using the binomial tables
A large internet retailer is studying the lead time (elapsed time between the time when the order is placed and the time it is filed). The table below gives the lead times (in days) for a random sample of recent orders.
If F(x, y) is the value of the joint distribution function of the two continuous random variables X and Y a (x, y),
A previously used drug treatment has a mean remission time of 12.5 weeks. Does the data indicate that the mean remission time using the new drug is different from 12.5 week at a level of significance of 0.01?
If we were to ask three people at arbitrary, determine the probability that they will all prefer punk rock?
For each of following data sets, select the most suitable response from choices below the table. A strong negative linear relation exists.
Determine the typical seasonal patterns for sales using the ratio-to-moving-average method. Project the sales for 2004, and then seasonally adjust each quarter.
Hypothesis Testing: We wish to test the claim that the mean body mass index (BMI) of men is equal to the mean BMI of women. Use the data to the right to test this claim.
Explain the difference between the null hypothesis and the alternate hypothesis. How is the null hypothesis chosen (why is it null)? What is the importance of rejecting the null hypothesis in relation of the sample to the population?
What does it mean for two random variables to be uncorrelated?
Which of the following would be most helpful in assessing the practical significance of a test of hypotheses about a proportion?
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