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Why must the scores for each variable be changed into deviation scores in the first step of determining the correlation coefficient? Explain your answer. What is the logic behind using the sum of the products of deviation scores as the numerator of the formula for the correlation coefficient? Is this logic sound?
It conducts a telephone poll of 300 randomly selected households in the area and finds that 96 have VCRs. The p-value associated with the test statistic in this problem is approximately equal to?
A regression line for a certain set of data is found to be y = 14 + 9x. The mean of y , or y bar, is 27. A particular data point is (2,40). What is the total variation in this point?
Find the least-squares regression line for predicting yield from planting rate and add this line to your plot. Choose the correct equation for the least-sqruares regression line.
The quality control manager at a lightbulb factory needs to determine whether the mean life of a large shipment of lightbulbs is equal to the specified value of 375 hours.
1) What is correlation? 2) What is an example of two variables that are likely to be correlated because they are both changing over time?
The insurance company charges an annual rate of $250 for the collision coverage. What is the expected value of the collision policy holder?
Show that if the roots of the polynomial p are all real, then the roots of p' are all real. If, in addition, the roots of p are all simple, then the roots of p' are all simple.
In the listed information is the findings statistically significant? Why or Why not? Describe the process used to make that determination and provide the level of significance.
let X have one of the following distributions: if the prior probabilities are P(H0)= P(HA) which outcomes favor H0? What prior probabilities correspond to the decision rules with a= 0.2 and a =0.5
What is the probability that a simple random sample of auto insurance policies will have a sample mean within $25 of the population mean for each of the following sample sizes: 30, 50, 100, and 400.
Formulate a linear programming model for this problem.
Spinning a coin, unlike tossing it, may not give heads and tails equal probabilities. I spun a penny 200 times and got 83 heads. How significant is this evidence against equal probabilities?
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