Question
1. If we compare the mean and the median of the income of all the people in California, which of the following would probably be
1. If we compare the mean and the median of the income of all the people in California, which of the following would probably be true?
Group of answer choices
(A) mean > median
(B) mean < median
(C) mean = median
(D) any of the above could happen
2. When the distribution is symmetric and unimodal, which of the following are often approximately equal?
Group of answer choices
(A) mean and mode
(B) median and mode
(C) mean and median
(D) mean, median, and mode
3. We generally prefer standard deviation to variance when we describe the variability of a data set, because ________________
Group of answer choices
(A) standard deviation is larger than the variance
(B) the interpretation of standard deviation is more intuitive
(C) standard deviation can better estimate the population parameters
(D) all of the above
4. What's the variance of the data set [5, 5, 5, 5, 5, 5]?
5. Which of the following is an impossible value for standard deviation?
Group of answer choices
(A) -3
(B) 1.6
(C) 0.28
(D) 0
6. Which of the following is an impossible value for sum of deviations?
Group of answer choices
(A) -3
(B) 1.6
(C) 0.28
(D) all of the above
7. For the following data set, what is the sum of deviation scores?
{2, 4, 7, 10, 26, 33, 15, 21, 65, 34, 127, -98, -36, 34.25}
8. A sample has 10 scores. How many deviation scores are there?
9. If a data set has a large mean, it tends to also have a large standard deviation, because the calculation of standard deviation depends on the mean.
Group of answer choices
True
False
10. The extremely low values in a data set can decrease the standard deviation of the data set.
Group of answer choices
True
False
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