When a researcher attempts to estimate the characteristics of an entire populati

Question

When a researcher attempts to estimate the characteristics of an entire population on the basis of sample measures, the techniques are called A. descriptive statistics B. inferential statistics C. skewed statistics D. B and C, but not A When a distribution shouts a large majority of very low scores and a few very high scores the distribution is said to be skewed to the right skewed to the left bimodal skewed to the middle In a normal distribution, it is sometimes possible for the mean to occur above the 50th percentile. True False

Explanation / Answer

Question 36 -

Answer - B) Inferential Statistics

Explanation - Descriptive statistics are the measure of the actual population data while the inferential statistics are the estimates of the population parameter taken from the sample observations rather than the actual measure of the parameter. And there is no such thing like skewed statistics.

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Question - 37

Answer - A) Skewed to the right

Explanation - When a distribution is not symmetric about its center, we call the distribution to be skewed.

When the majority of scores are small, we say that the distribution is skewed to the right and vice versa.

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Question - 38

Answer - False

Explanation -

The normal distribution is symmetric about its center, so the mean of the distribution is the central value itself and is always the same. So, 50th percentile is always the mean of the normal distribution.

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