a arithmetic average of the scores b arithmetic average of the two most extreme

# A arithmetic average of the scores b arithmetic

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a. arithmetic average of the scores b. arithmetic average of the two most extreme scores c. most frequently occurring score d. arithmetic average of the two middle scores status: correct (1.0) correct: d your answer: d feedback: Correct. 3If a researcher were to subtract the mean of a distribution from each score in that distribution and add the differences, the resultin a. always be zerob. be greater than the modec. be equal to the mediand. depend upon the scores that make up the distributionstatus: incorrect(0.0) correct: a
your answer: c feedback: Incorrect. 4 The sum of squared deviations from the ________ will always be ________ the sum of squared deviations around any other valu a. mode; equal to b. mean; less than c. median; less than d. mean; greater than status: incorrect (0.0) correct: b your answer: d feedback: Incorrect. 5 If a distribution is less peaked than another, it is said to be more ________; if it is more peaked than another, it is said to be more a. leptokurtic; platykurtic b. leptokurtic; variable c. platykurtic; leptokurtic d. skewed; variable status: incorrect (0.0) correct: c your answer: d feedback: Incorrect. 6Based on the Method of Presentation section of Chapter 3, the symbol n indicates: status: correct (1.0) correct: a your answer: a feedback: Correct. 7 How would you describe the relationship between the mean, median, and the mode in a positively skewed distribution?
b. mean = median = mode c. mean > mode > median d. mean > median > mode status: incorrect (0.0) correct: d your answer: c feedback: Incorrect. 8 The variance is the: a. sum of the squared deviations from the mean. b. average of the squared deviations from the mean.