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Question: The weight (in pounds) for a population of school-aged children is normally distributed with a mean equal to 135 ± 20 pounds (1-! ± a). Suppose we select a sample of 100 children (n = 100) to test whether children in this population are gaining weight at a .05 level of significance.
(a) What is the null hypothesis? What is the alternative hypothesis?
(b) What is the critical value for this test?
(c) What is the mean of the sampling distribution?
(d) What is the standard error of the mean for the sampling distribution?
Compute the probability of selecting a credit card customer at random and finding the customer charged between $70 and $83 last month.
Which of the following does not explain a possible relationship between variables when the null hypothesis is rejected
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Replicate the simulations discussed in the paper for scenarios A, B and C only - Once you understand the algorithm, the R code is actually simple (you can use any built-in functions in R), not more than 300 lines (this is an overestimation).
Make an interval estimate the population means score for the daycare children so that you are 95% confident that the true mean is in your interval.
a. what is the point estimate of the population mean? b. what is the point estimate of the population standard deviation?
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