Question: Question 1. 1. The standard deviation of normally distributed data sets is equal to about 1/6 of the data sets range. (Points : 1) True

Question 1.1. The standard deviation of normally distributed data sets is equal to about 1/6 of the data sets range. (Points : 1)
True False

Question 2.2. In statistical notation, M is to as s is to . (Points : 1)
True False

Question 3.3. Which of the following defines standard deviation? (Points : 1)
The difference between the highest and lowest values. The arithmetic average of a set of values. The average difference between a set of values and the mean. The average of the highest and lowest values in a set.

Question 4.4. Which statement explains what inferential statistical analysis is? (Points : 1)
The process of describing the sample. Understanding the population through the sample. The accumulation of population characteristics. Comparing dissimilar samples.

Question 5.5. What sets the standard normal distribution apart from all others? (Points : 1)
It is a normal distribution It turns data from any source into normal data It is based upon ordinal scale data It has a fixed mean and standard deviation

Question 6.6. A dichotomous outcome has only two possibilities. (Points : 1)
True False

Question 7.7. Calculating the median requires data of at least what scale? (Points : 1)
Nominal Ordinal Interval Ratio

Question 8.8. Data outliers result in skewed data distributions. (Points : 1)
True False

Question 9.9. Which is not true of a normal curve distribution? (Points : 1)
About 2/3 of the data points fall within plus or minus one standard deviation from the mean. For the standard normal distribution, the mean = 0 and the standard deviation = 1. About 95% of the data points fall within plus or minus two standard deviations from the mean. The end values of normally distributed data sets equal z-scores of plus or minus 3 or greater.

Question 10.10. The mode is which of the following? (Points : 1)
The most frequently occurring value in a set. The middle-most value in a set of values. The difference between the highest and lowest values in a set. The arithmetic average of a set of values.

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