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What is the difference between the R and R-squared terms? What does each tell you? How large should the R-squared term be if you want to show that the two variables are practically related?
Find out the expected number of correct responses under these circumstances if one in fact selects the responses at random. What is the standard deviation?
Determine the upper and lower control chart limit and the lower control chart limit for various values of the fraction defective (p) in the sample taken. Assume a 99.7 % confidence.
Is there a relationship between the opinion and the location of the resident at a level of significance of 0.05?
What is the likelihood the sample mean is greater than $22.50 but less than $25.00?
Suppose the population is normally distributed they make a decision to do a hypothesis test.
A month is classified as "extremely wet" if the amount of rainfall is in the upper 10% for that month. How much precipitation must fall before a month of April is classified as "extremely wet".
Detremine the mean, standard deviation, and variance for this frequency distribution.
As long as there is either an upward or downward trend in the data, will a k-period moving average have a smaller mean square error than a moving average obtained with k+1 periods? Why or why not?
Explain a Type I error for this situation. Explain a Type II error for this situation.
Find out the least-squares regression line and interpret its slope.
A random sample of 81 credit sales in a department store showed an average sale of $68.00. From past data, it is known that the standard deviation of the population is $27.00.
The reason why we finish our calculation by dividing range by 4 is that in most data sets 95% of the data values fall within two standard deviations of the mean.
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