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Question: Consider the following set of data:
a. Calculate the correlation coefficient of these two variables.
b. Multiply each value of the variable x by 5 and add 10 to the resulting products. Now multiply each value of the variable y by 3 and subtract 7 from the resulting products. Finally, calculate the correlation coefficient of the new x and y variables.
c. Describe the principle that the example developed in parts a and b demonstrates.
A random sample of 8 recent batches produced the following yields. Conduct a hypothesis test to determine whether the true mean yield has decreased.
To what extent have increases in U.S. real GDP resulted from more labor inputs? From higher labor productivity?
data packets are sent over a wireless network at a rate of 10 packets per second. what is the probability that exactly
Suppose we ask the students to volunteer to be in the rereading group. We accept students into this group one at a time until we have the number needed. Evaluate this strategy for assigning students to the two groups.
What would the expected frequency distribution look like for the 100 observations? What would the results of the chi-square analysis be?
Write a first-order model for E(y) that corresponds to the ‘‘sheepskin screening'' hypothesis.- Write the complete second-order model for E(y) as a function of the two independent variables.
Four of the ten are selected to participate in an in-depth interview. What is the probability that of those selected for the in-depth interview two liked the new flavor and two did not?
A study on body types gave the following results: 45% were short; 25% were short and overweight; and 24% were tall and not overweight.
1. Comment on the relative merits of using a .95 confidence interval for addressing the effectiveness of the antipollution device in the previous problem.
at a certain university the average attendance at basketball games has been 2825. this year the attendance for the
Calculate the variance of his annual income and calculate the coef?cient of skewness of his annual income.
The random variable X is uniformly distributed on (-1, 2) . Derive the pdf of Y = X2.
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