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Computing from a large sample, one finds the 95% confidence interval for 956; to be {6.8, 14.2}. Based on this information alone, determine the 90% confidence interval for 956
Details on how the answer was obtained. Thanks.
I am conducting research on microscopic toolmark analysis. If I have a toolmark with 27 striations (lines) of varying spatial relationships (orientations),
Form a frequency distribution and a percentage distribution that have class intervals with the upper class limits $99, $119, and so on.
Build a scatter plot, Find the value of the linear correlation coefficient r, and find the critical value of r using α=0.05. Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables.
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.
Test the significant difference between Chi-square for attributes
Out of forty students, 14 are taking English Composition and 29 are taking Chemistry. If five students are in both classes, how many students are in neither class? How many are ineither class?
In the study of age and systolic blood pressure of five randomly selected subjects, a researcher reported the following data.
Generate a 95% confidence interval for the true mean total cholesterol levels in children.
A report on the U.S. economy indicates that 28% of Americans have experienced difficulty in making mortgage payments. A news organization randomly sampled 400 Americans from 10 cities named the "fastest dying cities in the U.S."
You construct a 90% confidence interval for the average stock price to be (267.348, 279.472). Of the following choices, what is the approporiate interpretation of this interval?
A pharmaceutical company has developed a screening test for a rare disease that afflicted 2% of the population. Unfortunately, the reliability of this test is only 80%, which means that 20% of the tested will get a false positive.
The student newspaper on our campus was interested in binge drinking. For their article, they surveyed 50 fraternity members, and found they drink more than 5 drinks an average of 7 times per month.
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