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Exam 4: Summarizing Data: Variability

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Question 21

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As a general rule,an interquartile range is a better estimate of variability than the IQR.

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Question 22

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Suppose a researcher observes a population of 12 people and computes SS = 192.In this example,the standard deviation is 4.

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Question 23

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A main disadvantage of computing a range is that it takes into consideration only two values regardless of the number of scores in a distribution.

The SIQR can be defined as

A researcher records the following scores for an Olympic gymnast following her routine: 9.9,9.8,9.6,9.5,9.7,9.1,8.9,and 9.8.What is the range for the scores?

The degrees of freedom for sample variance are equal to N.

Multiplying or dividing each score using the same constant will not change the standard deviation.

The definitional formula ______ the computational formula for SS.

The sum of the squared deviations of scores from their mean

If all scores in a distribution are negative values,then the standard deviation will also be a negative value.

The computational formula for the variance requires that you know the value of the mean.

A researcher records the following scores for attention during a video game task for two samples.Which sample has the largest standard deviation? Sample A: 10,12,14,16,and 18 Sample B: 20,24,28,32,and 36

A(n) ________ is a sample statistic that equals a population parameter on average.

Suppose a researcher selects a sample of 19 participants and computes SS = 162.In this example,the standard deviation is 3.

Which of the following values is NOT needed to compute sample variance using the computational formula,but is needed to compute the definitional formula?

A main disadvantage of computing a range is that it is a simple and quick measure of variability.

A researcher measures the time (in seconds) it takes a sample of 26 participants to respond to a stimulus presented on a computer screen.The standard deviation for response times is 6.In this example,what is the value for SS?

On average,the sample variance will be equal to the population variance only when dividing SS by df.

Measures of variability can range in value from

The variance and standard deviation can never be