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The annual salary for a a group of highly educated professionals is normally distributed with a mean = $157,000. Is also known that 62% earn more than $125,000. A. What is the standard deviation? B. what percent earn less than $165,000? C. What percent earn between $120,000 and $145,000? D. Determine the annual salary X1 for which 13% earn more than X2. E. A random sample of 15 professionals is chosen from the group. What is the probability that at most 2 make more than $170,000? F. A random sample of 25 professionals is chosen from the group. What is the probability that the mean salary of the sample of more than $160,000?
If zero can be the first digit and the numbers can be repeated, what is the probability Mr. Jones and Mrs. Smith select the same PIN? (Round your answer to 3 decimal places.)
If 36 sand dollars are selected at random for collection, determine the probability that average diameter of those sand dollars is more than 3.80 centimeters. Suppose that variable is normally distributed.
Estimating the sample standard deviation using normal score - Find the sample standard deviation?
Calculate and post your 'answers' or interpretations of (a little bit of a review of the fundamental concepts): The three Measures of Center (Mean, Median, and Mode).
Assuming the standard deviation stays the same, how much do you have to reduce your average production time so that 95% of the time you can deliver the product in under 75 hours?
The average number of field mice per acre in a 5-acre wheat field is estimated to be 12. Find the probability that fewer than 7 field mice are found
Families of size 4 spent a population mean of $360 on a visit to an amusement park, standard deviation of $50 in October 2000. Operators want to know whether families will spend more in 2001.
Then, define probability value in your own words and explain how a probability value of .05 in this example is related to the normal curve.
Using a significance level of .01 to test this hypothesis, what is your decision rule?
Explain a scenario associated to final project in which you would utilize repeated-measures ANOVA. Explain a scenario associated to final project in which you would use MANOVA.
Describe a different example of where the independent variable, while highly correlated to the dependent variable, does not cause the dependent variable to change directly.
Bruce Kuhlman, owner of Kuhlman Farms, wishes to use brand of fertilizer which will produce maximum yield per acre of wheat. Mr. Kuhlman can select from four different commercial brands. Write down the hypotheses?
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