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1. Despite any problems it might have, summarize how you would justify using Student's t-test to compare two independent groups.
2. Summarize any practical concerns about Student's t-test and comment on how they might be addressed.
The data in Table 8.12 are a subset of the data obtained by Shen et al. (1970) in an experiment concerned with the hypothesis that diabetes mellitus is not simply a function of insulin deficiency and that perhaps insulin insensitivity could play a..
the standard error from a given population is one. if you draw a sample from this population and estimate the standard
A normal random variable with a mean of $65.16 and a standard deviation of $10.00. What proportion of the households spent between $40.00 and $50.00.
The lifetime of a color television picture tube is normally distributed with the mean of 7.8 years and a standard deviation of 3 years.
State the main points of the Central Limit Theorem for a mean. B. Why is population shape of concern when estimating a mean? What does sample size have to do with it?
The size of the home (reported below in thousands of square feet) increases the selling price (reported in $ thousands) also increases?
Describe the sample distribution of p-hat, the sample proportion of college students with cell phones who send or receive text messages with their phones.
in a sample of 47 adults selected randomly from one town it is found that 9 of them have been exposed to a particular
sample proportion and probability based on normal distribution.a nationwide study in 2003 indicated that about 60 of
Body mass index is measures at the ratio of weight in kilograms to height in meters squared. Generate a 95% confidence interval estimate of the true BMI. 25 27 31 33 26 28 38 41 24 32 35 40.
Assume that the standard deviation s is known to be $5.50. Using a 0.05 level of significance, would we conclude the typical amount spent per customer is more than $20.00?
A building contractor pays $500 to bid on a contract. If he gets the contract, the probability of which he estimates to be 0.70, he will make a profit of $50,000.
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