The sample covariance can be equal to any value __________
A) between 1.0 and +1.0.
B) greater than or equal to zero.
C) other than zero.
D) between and .
Q. 2Analysis of variance only tests to see if any pair of population means are different. To find out which population mean pairs are different, we need to perform a multiple comparisons test.
Indicate whether the statement is true or false
Q. 3Assume that the average talk time on an Apple iPhone is 20 hours and that this time follows the exponential probability distribution. What is the probability that a randomly selected iPhone will experience between 10 and 30 hours of talk time?
A) 0.3834
B) 0.4650
C) 0.5219
D) 0.5875
Q. 4The probability of a Type I error is denoted as _______.
A) alpha
B) beta
C) sigma
D) rho
Q. 5The sample ____________ measures the direction of the linear relationship between two variables but does not measure the strength of the relationship.
A) variance
B) covariance
C) z-score
D) correlation coefficient
Q. 6Assume that the average talk time on an Apple iPhone is 20 hours and that this time follows the exponential probability distribution. What is the probability that a randomly selected iPhone will experience less than 15 hours of talk time?
A) 0.2555
B) 0.3184
C) 0.4252
D) 0.5276
Q. 7ANOVA provides a lower probability of a Type I error when compared to multiple t-tests when comparing three or more population means.
Indicate whether the statement is true or false
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