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Locate a news article or report (in a popular news source such as Time, Newsweek, or the Wall Street Journal) in which a population mean is estimated from a sample. The article should include a margin of error and confidence interval. Discuss the subject matter in the article, and interpret the results and what the confidence interval and margin of error mean as they apply to the specific subject matter.
Do the confidence interval limits contain 98.6F? What does the sample suggest about the use of 98.6F as the mean body temp.
Get a test statistic and p -value. Interpret results at α = .01.
Determine for each variable if it is the explanatory variable, the response variable, or whether it could be both.
Developing the histogram and pie chart for the sample data.
Find the power of the test designed to determine if the the new safety equipment is effective when the mean percent reduction is actually 2.3%. Assume that the population standard deviation is 12% and that α is 0.02. What is the power?
Following data from an x bar chart, is the process capable (capability index>1.33)?
Create a 95% confidence interval for the population mean days absent for sickness based on this sample. Select the answer closest to your results.
Test the hypotheses that the average household income in the township is greater than $100,000. Hint: Start by stating the null and alternative hypotheses.
First part of this theorem allows a problem solver to compute probabilities about sample means regardless of whether a population is normally distributed.
How large a sample should be taken if the desired margin of error E is:
For the mold described in (g), can you find the probability that it's COST value will exceed $150,000? If yes, obtain this probability. If no, why not?
You perform a one sample mean hypothesis test on a random sample of data and observe a p-value of 0.2157. What is the appropriate conclusion? Conclude at the 5% level of significance.
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