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Use the traditional method with α = 0.05 to test the claim that the weights of statistic textbooks vary more than the weights of text in general: σ = 0.65kg. A simple random sample of 8 statistic text, taken from a normally distributed population, were found to have a standard deviation of 0.72kg. Calculate the test statistic and the critical value to determine the conclusion. Regarding this claim.
Determine the test statistic ___________ (Round to nearest thousandth).
Use the Chi-Square distribution table to determine the critical value. (Round to the nearest thousandth)
Choose the correct conclusion regarding the claim that the weights of statistics text vary more than the weights of text in general.
A). Reject the null hypothesis; there is sufficient evidence to support the claim.
B). Fail to reject the null hypothesis; there is insufficient evidence to support the claim.
Relatively speaking, who performed better on the test, you, with an 86, or your friend? Why?
Using the 0.95 degree of confidence, what is the interval estimate for the population proportion (to the nearest tenth of a percent)?
Assume that you have a binomial experiment with p = 0.5 and a sample size of 100. The expected value of this distribution is.
With the test statistic you chose, work out the problem with solution using .05 level of significance if it applies.
Determine the probability that a randomly selected teacher earns more than $525 per week?
Recognize strategies that were utilized to control for nuisance variables and minimize threats to valid inference making.
At the .01 significance level, can the manufacturer conclude that the price reduction resulted in an increase in sales?
Caselet on McDonald’s vs. Burger King - Waiting time
The mean assembly time for a random sample of 24 carts, using the new method, was 40.6 minutes, and the standard deviation of the sample was 2.7 minutes.
Write the null and alternative hypotheses you would use to test the following situation.
Explain finding value of test statistic and P-value also understand the result. At the .01 significance level can we compute that the mean fare has increased.
how many chocolate chip cookies will he need to sample to estimate the mean to within 2, what is a 99% confidence interval for the average number of chips per cookie?
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