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The mean amount of a purchase at the Smith Hardware store is $23.50 with standard deviation of $5.00. The amounts purchased follow normal distribution. 50 customers were sampled:
a.What is the likelihood the sample mean is at least $25.00?
b.What is the likelihood the sample mean will fall into the $22.50 to $25.00 range?
c.Within what limits will 90% of the sample means occur?
The Johnson family uses a propane tank for cooking on their gas grill. During the summer they need to replace their tank on average every 30 days.
Elucidate the null and alternative hypothesis for the difference among the two means. In testing the difference between the means of two.
In you determine the GPA of 10 members of the class and then calculate the average, will the number you get necessarily be the same as the average GPA for the whole class? On what factors would you expect the reliability of the estimate to depend..
At.01 significance level, is there difference in mean number of times men and women order take-out dinners in month? Determine the p -value?
Utilizing the .05 level, do the results support the psychologists' theory. Elucidate your answer to somebody whom has never had a course in statistics.
Critically illustrate out the properties of a normal distribution. Explain why there are an infinite number of normal distributions.
A bond analyst is analyzing interest rates for corresponding municipal bonds issued by two different states. At α = .05, is there a difference in interest rates paid by two states?
Explain your findings (including the logic of comparing within-group to between-group population variance estimates, how each of these is figured, and the F distribution).
Determine the optimum solution for the problem.
Write ten-step study plan with suitable example that will permit you to analyze your data.
The following data represent glucose blood levels(mg/100ml) after a 12 hour fast for random sample of 70 women: Employ 6 classes and make a frequency distribution table.
To find the necessary sample size to achieve the given level of accuracy of prediction.
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