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The average diameter of sand dollars on a certain island is 4.50 centimeters with a standard deviation of 1.00 centimeters. If 9 sand dollars are chosen at random for a collection, find the probability that the average diameter of those sand dollars is more than 4.13 centimeters. Assume that the variable is normally distributed.
Assign probabilities to the sample points and then find the probability that the first envelope purchased contains less than $100.
How large a sample should be selected in order to estimate the population proportion to within a margin of error of 0.02 with 97% confidence. The sample proportion from the preliminary sample was 0.18.
What is the value of c for which there is 80% probability that a metal plate has a thickness with in the interval [4.3-c, 4.3+c]?
sample mean = 3.5, standard deviation = 0.9. Use 98% confidence interval to evaluate difference in mean weekly deposits into IRAs for each bank.
If the sum of squares total is 800 and the sum of squares error is 170. What is the r-squared value?
When would you use ANOVA at your place of employment, in your education, or in politics? Please share the WORDS that would lead you to the null hypothesis for a specific and simple example
Using a significance level of .01 to test this hypothesis, what is your decision rule?
Describe the basic characteristics of a normal distribution and the normal curve. What are z scores and how are they used in relation to distributions and raw scores?
Could this information be viewed as representing the ratio scale of measurement? If so , explain why. If not, why not.
Determine the probability of selecting sample with a mean of more than $100,000 but less than $112,000.
Explain the effect outliers can have on the analysis of the center of this data set. Based on the box-plot and histogram you created for problem 1, do there appear to be any outliers?
The average cost of a one bedroom apartment in a town is $550 per month. What is the probability of randomly selecting a sample of 50 one bedroom apartments in this town and getting a sample mean of less then $530 if the population standard deviat..
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