The population variance is defined as the sum of the.
A) squared differences of each score from the sample mean of a distribution divided by the sample size
B) differences of each score from the mean of a population divided by the population size
C) squared differences of each score from the mean of a population divided by the population size
D) differences of each score from the mean of a population divided by the population size minus one
Correct Answer:
Verified
Q15: Which of the following is the
Q16: The sum of the squared deviations from
Q17: The estimated population variance is represented
Q18: The population variance is represented by.
Q19: A measure of central tendency of a
Q21: The population standard deviation is represented
Q22: If a variance for a set of
Q23: If the SS for a set of
Q24: The sample mean predicts every score in
Q25: A SS is given by.
A)
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