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Variables such as height and weight are generally assumed to be normally distributed (for example, population data would take the shape of a normal curve). Discuss at least two samples in which you would not expect this to be true. Make sure you explain how the shape of the curve would differ from the norm and why it would differ.
How is a sampling distribution of the mean similar to and different from a distribution of raw scores? What is the standard deviation of a sampling distribution of the mean called? How is it affected by sample size?
Assume we have a population of scores with mean (mu) of 200 and standard deviation (sigma) of 10. Assume that the distribution is normal. Provide answers to the following questions:
To find out the alternate hypotheses also critical value. A truck dealer claims where a new model will give trouble free service for at least 15,000 miles.
Determine the sum of these probabilities , and why is the number less than 1
Use Appendix F below to locate the value of t under the following conditions. The sample size is 15 and the level of confidence is 95 percent.
Use formula z=(mean of values in sample - mu subscript mean of values in sample) divided by (lower case sigma divided by sqrt number of values in sample)
Inventories represent a considerable investment for every organization; thus, it is important that they be managed well. Excess inventories can indicate poor financial and operational management.
As of 2012, the proportion of students who use a MacBook as their primary computer is 0.36. You believe that at your university the proportion is actually greater than 0.36. If you conduct a hypothesis test, what will the null and alternative hypo..
Conduct the hypothesis test and provide the test statistic, critical value and/or P- value and state the conclusion.
The best estimator or appreciative for the population proportion is 0.45. How large must the sample be?
Make two different Factor Fireworks for 64 and 84. Write an equation that shows 64 as a product of prime numbers. Then use the equation to help find 54/16.
Create a 95% confidence interval for true mean debt for student borrowers.
A random sample of 100 voters found that 44% were goint to vote for a certain candidate. Find the 99% limit for the population proportion of voters who will vote for that candidate.
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