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The Olsen Agricultural Company has determined that the weight of hay bales is normally distributed with a mean equal to 80 pounds and a standard deviation equal to 8 pounds. Based on this, what is the probability that the mean weight of the bales in a sample of n=64 bales will be between 78 and 82 pounds?
What is the mean and standard deviation of the sampling distribution when we take all samples of size25?
If we are dealing with non-normal data we use Chebychev's Theorem. While not as precise, it does provide some level of utility. If we use Chebychev
Using Non-parametric test, whether there is significant difference in the motor coordination skills.
At a large commercial bakery, one of the measures familiar with evaluate employees is the number of broken cookies per 1000 produced. The quality control department wants to determine if there is a relationship between years of experience and bro..
What linear transformation will change sixth grade scores x into new scores xnew= a+bx that have the desired mean and standard deviation?
Briefly explain the advantage of using an alpha level of 0.01 verus a level of .05. general, what is the disavantage of using a smaller alpha level?
All else being equal, what occurs to your confidence interval when you increase value of alpha?
Carbon monoxide (CO) emissions for a certain kind of car vary mean 2.4 g/mi and standard deviation 0.7g/mi. A company has 60 of these cars in its fleet. Let y represent the mean CO level for the companies fleet. Estimate the probability that y is ..
What is an example of a directional alternate hypothesis? What is an example of a non-directional alternate hypothesis?
A sample of 20 pages was taken without replacement from the 1,591-page phone directory Ameritech Pages Plus Yellow Pages.
State a type I error and describe why it happens. Describe the factor that researcher can control to change type I error. Also, describe how type I errors can be avoided.
The delivery times and the number of cases delivered were recorded in the delivery file: Develop a regression model to predict delivery time, based on the number of cases delivered.
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