Blatchley Chapter 05 Quiz

. How is measurement error best described?

In many instances that relate to the physical world, measurement error is really a nonissue so long as you have enough people measuring.

Measurement error is easily avoided by using the best equipment.

Even when we do our best, our measurement instruments can still lead to error.

measurement error are not influenced by changes in the world.

. Measurement errors can be...

difficult to rectify once the data have been collected.

beyond a researcher's control.

due to issues with the instrument that is used to collect data.

all of the above.

. In the context of measurement error, what would you expect if a student took the SAT and scored a 1450?

their score is their true score

their score could be higher or lower if they took it again

their score is not reliable or valid

it would be expected that a retest would yield the same score

. The Range is a form of...?

central tendency

measures of center

measures of variability

measures of change

. The range is best described as...:

The average variability

the distance from each point to the mean

the maximum score minus the minimum score

a highly sensitive measure of variability in the data

.

Harrison's factory is in the process of designing a new video game console. His sales in are primarily in 5 regional states in the U.S. The sales are: 4300, 2000, 3900, 1200, and 780. What is the range?

780

3520

2000

1200

. If two datasets have the same range, then...?

they have the exact same amount of variability

they have the same maximum and minimum value

they have the same number of scores

none of the above

. Which of the following is true regarding variability and range?

range is a sensitive measure of the variability in a dataset because it takes into account the maximum difference in a dataset

the range is not a sensitive measure of variability because it only takes into account the middle of the dataset

the range is not a sensitive measure of variability because it only takes into account two extreme points in a dataset

the range is generally easy to calculate and a sensitive measure of variability in the entire dataset

. Why do we use the sum of squared deviation scores and not sum of deviation scores when calculating the variance?

Because the sum of deviation scores will always be zero

Because the sum of deviation scores tend to overestimate the variability

Because the sum of deviation scores is used for the median

Because the sum of squared deviation scores

. Repeating measures serves as a way to...

minimize variability

minimize the variance

minimize error

minimize range

. Why is it generally the case that one does not use the range to describe a dataset, but instead the standard deviation?

The range does not measure variability at all.

The range does not take into account the extreme values in the dataset.

The range is too heavily influenced by the mode and the mean.

The range only takes into account two data points in the dataset.

. Standard deviation is a measure of_______________.

validity

variability

central tendency

error

. To obtain the standard deviation, what is the correct produre?.

Square the variance

Square root of the variance

Subtract each score from the mean, and divide it by the sample size

Half the variance

. The average squared deviation from the mean is the...

standard deviation

variance

square variance

standard error

. If the variance of a dataset is 4, what is the standard deviation?

2

4

16

8

. If the standard deviation of a sample is 10, the variance would be?

100

1000

10000

20

. Imagine a dataset with 50 observations. Now imagine adding 5 to each score. Which of the following will occur?

The standard deviation will also increase by 5.

The standard deviation will increase, but unpredictably.

The standard deviation will not change.

The standard deviation will decrease by 5.

. How does the population variance and sample variance differ?

If you have a dataset and do both calculations, the population variance will always been larger.

If you have a dataset and do both calculations, the population variance will always be smaller.

The population variance is the square root of the sample variance.

The sample variance is the square root of the population variance.

. Which of the following is true regarding population and sample variances?

Their formulae are slightly different

They have the same formula, but are calculated on different pieces of information

They are exactly the same

The population variance is used to estimate the sample standard deviation because they are approximates of each other

. Which of the following is not possible, given the formula of the variance?

obtaining a variance that is larger than the standard deviation

obtaining a negative variance

obtaining a variance that is smaller than the mean

obtaining a variance that is larger than the mean

. What is the range rule?

The standard deviation of a sample is roughly a quarter of the range.

The standard deviation of a sample will be half the range.

The standard deviation of a sample is roughly the range divided by the number of observations in the sample.

The variance of a sample is roughly a quarter of the range.

. Which of the following is true about squaring the deviation scores from the mean?

Extreme vales are often emphasized more.

Variability is inflated than what it should be.

The mean is an arbitrary score, so the result is not always reliable.

It assumes that the data are on an ordinal scale.

. Which of the following is not a desirable quality of a statistic, according to Fisher?

Consistent

Sufficient

Efficient

Complex

. Why is the standard deviation an improvement over mean deviation?

The standard deviation is more efficient

The standard deviation is more consistent

The standard deviation is more sufficient

The standard deviation is not better than mean deviation in any way

. What does it mean for a statistic to be efficient?

The statistic is consistent in estimating a parameter

the formula can be used to calculate statistics in samples and parameters in populations

the calculations are simple

the statistic summarized all of the information that could be taken from a sample to estimate a population parameter

Blatchley Chapter 05 Quiz

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