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To estimate the true proportion of students who abstain from alcohol at LBCC, you will need to take a simple random sample.
a) How large a sample would you need if you want your estimate to be within .03 of the true value with a 97% confidence level and you know nothing about the population?
b) Repeat part (a) except now you know that a previous study found that 19% of college students abstain from alcohol.
c) For a sample size 96, you came up with a confidence interval of (.159, .241). What is the confidence level of this interval?
d) Using the information in part (c), create a 99% confidence interval.
Find a 99% confidence interval for the population mean number of weekly miles.
Find the probability that their mean energy consumption level for September is greater than 1075 kWh.
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.
Your statistics instructor wants you to determine a confidence interval estimate for the mean test score for the next exam.
Compute the sample variance and the sample standard deviation for these data (to 2 decimals).
Determine the cost Xs to develop the support system for which the probability of exceeding Xs is equal to 0.01?
Compute the appropriate Test Statistic to test null hypothesis that mean of population is 4.3 against alternative hypothesis μ ≠ 4.3.
In order to test the assumption of a Poisson distribution, a random sample of 150 ten-minute intervals was taken.
Recognize and explain potential threats (up to 3) to external validity.
Based on the answers to a through d, decide whether or not to reject the null hypothesis at the given significance level. Explain your conclusion in the context of the problem.
Computing the mean, standard deviation values for the given data - Describe how statistics is being misused in this situation
A local group claims that the police issue more than 60 speeding tickets a day in their area.
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