Question 1

About ________ percent of scores fall between the mean and one standard deviation above and below the mean in a normal distribution.

Accepted Answer

In a normal distribution, approximately 68% of the scores fall within one standard deviation above and below the mean. This is known as the Empirical Rule or the 68-95-99.7 rule.

Question 2

About 99 percent of scores fall between ________ standard deviation(s) above and below the mean in a normal distribution.

Accepted Answer

In a normal distribution, approximately 99.7% of scores fall within three standard deviations above and below the mean, which is often rounded to 99% for simplicity.

Question 3

Which of the following questions would be most appropriate in a correlational study?

Accepted Answer

Correlational studies examine relationships between variables, so the most appropriate question would be one that asks about the relationship between two variables. Option A is the only question that poses such a relationship.

Question 4

A scatter plot is used to determine ________.

Accepted Answer

A scatter plot is a graphical representation of data points that showcase the relationship between two variables. Hence, it is used to determine the correlation between the variables. It does not provide information on the significance level, median, or mean of the data.

Question 5

Which of the following questions would be most appropriate in a correlational study?

Accepted Answer

Correlational studies examine the relationship between two variables, so question B is the only one that directly asks about a potential relationship between two variables (intelligence and creativity). The other questions are more focused on specific values or characteristics of individuals or groups.

Question 6

The difference between the highest and the lowest measurements is the ________.

Accepted Answer

The range is defined as the difference between the highest and lowest measurements in a dataset. The mode refers to the most frequently occurring value, the standard deviation measures the spread of the data from the mean, and the level of significance refers to the probability of rejecting the null hypothesis in a hypothesis test. Therefore, the best choice is C, as it directly relates to the difference between the two extreme values in the dataset.

Question 7

Which number tells us the most about how the scores in a frequency distribution are dispersed around the mean?

Accepted Answer

The standard deviation tells us how much variability (dispersion) there is in the data relative to the mean. A larger standard deviation indicates that the scores are more spread out, while a smaller standard deviation indicates that the scores are clustered more tightly around the mean. The range only tells us the difference between the highest and lowest scores and does not give us any information about how the scores are distributed in relation to the mean. The correlation coefficient and probability ratio are not measures of dispersion.

Question 8

In a set of test scores, the mean is 10 and the standard deviation is 2. With these two numbers we know that 95% of the scores fall between ________.

Accepted Answer

The 95% confidence interval for a normal distribution is approximately within two standard deviations from the mean. Therefore, 10 ± 2(2) = 6 to 14.

Question 9

The simplest measure of variation is the ________.

Accepted Answer

The range is the simplest measure of variation as it only requires finding the difference between the highest and lowest values in a dataset. The standard deviation and mean are more complex measures of variation that take into account the deviations of all values from the average. Significance is not a measure of variation.

Question 10

Ashley has measured heights of basketball players at her school. In order to fully describe the distribution of her data, Ashley will need to determine the central tendency and ___________ in the players' heights.

Accepted Answer

In addition to finding the central tendency (e.g. mean, median, mode) of the data, Ashley will also need to determine the variation in the players' heights (e.g. range, variance, standard deviation) in order to fully describe the distribution. This allows her to see how the heights vary and how spread out the data is. The other options - scale of measurement, probability, and correlation - are not necessary for describing the distribution of the data.

Question 11

Which of the following can be used to describe if two or more sets of measurements are in any way associated with each other?

Accepted Answer

Measures of correlation are used to determine the strength and direction of the relationship between two or more sets of measurements. Measures of central tendency and variation describe characteristics of individual sets of measurements, but do not indicate the relationship between them.

Question 12

For the numbers 100, 90, 80, 60, the range is ________.

Accepted Answer

To find the range, we subtract the smallest number from the largest number. In this case, the smallest number is 60 (the highest number in the list is 100 and the other numbers are between 60 and 100). Therefore, the range is 100-60=40. Thus, the correct answer is B.

Question 13

About ________ percent of scores fall between 2 standard deviations above and below the mean.

Accepted Answer

According to the Empirical Rule, approximately 95% of scores fall between 2 standard deviations above and below the mean.

Question 14

About ________ percent of scores fall between 3 standard deviations above and 3 standard deviations below the mean in a normal distribution.

Accepted Answer

In a normal distribution, approximately 99.7% of scores fall within 3 standard deviations above and below the mean. However, since the closest option is 99%, it is the most accurate choice given.

Question 15

A pattern of dots indicating scores on two different characteristics is called a ________.

Accepted Answer

A scatter plot is a graph that shows the relationship between two variables. It is used to observe if there is a correlation or trend between the two variables plotted on the x and y axis. The other options, bar graph, frequency histogram, and frequency polygon, are used to represent one variable and do not show the relationship between two variables.

Question 16

About 95 percent of scores fall between ________ standard deviation(s) above and below the mean in a normal distribution.

Accepted Answer

The empirical rule states that approximately 68% of scores fall within one standard deviation of the mean, about 95% of scores fall within two standard deviations of the mean, and almost all (99.7%) scores fall within three standard deviations of the mean in a normal distribution. Therefore, the correct answer is D, which refers to two standard deviations above and below the mean.

Question 17

In a set of survey results, the mean is 15 and the standard deviation is 3. With these numbers we know that 99% of the scores are between ________.

Accepted Answer

The mean is 15 and the standard deviation is 3. 99% of the scores are within 2.58 standard deviations of the mean. So, 99% of the scores are between 15 - 2.58 * 3 = 6 and 15 + 2.58 * 3 = 24.

Question 18

For the numbers 17, 2, 9, 12, 15, the range is ________.

Accepted Answer

The range is the difference between the largest and smallest numbers in a given set. In this case, the largest number is 17 and the smallest is 2, so the range is 17 - 2 = 15. Therefore, the best choice is A.

Question 19

About 68 percent of scores fall between ________ standard deviation(s) above and below the mean in a normal distribution.

Accepted Answer

According to the empirical rule, approximately 68 percent of scores fall within one standard deviation above and below the mean in a normal distribution.

Question 20

To find the standard deviation, we must first find the ________.

Accepted Answer

The standard deviation is a measure of how spread out the data set is from the mean. Therefore, we must first find the mean before we can calculate the standard deviation.

Quiz 16: Psychology Applied to Work

About ________ percent of scores fall between the mean and one standard deviation above and below the mean in a normal distribution.

About 99 percent of scores fall between ________ standard deviation(s) above and below the mean in a normal distribution.

Which of the following questions would be most appropriate in a correlational study?

A scatter plot is used to determine ________.

Which of the following questions would be most appropriate in a correlational study?

The difference between the highest and the lowest measurements is the ________.

Which number tells us the most about how the scores in a frequency distribution are dispersed around the mean?

In a set of test scores, the mean is 10 and the standard deviation is 2. With these two numbers we know that 95% of the scores fall between ________.

The simplest measure of variation is the ________.

Ashley has measured heights of basketball players at her school. In order to fully describe the distribution of her data, Ashley will need to determine the central tendency and ___________ in the players' heights.

Which of the following can be used to describe if two or more sets of measurements are in any way associated with each other?

For the numbers 100, 90, 80, 60, the range is ________.

About ________ percent of scores fall between 2 standard deviations above and below the mean.

About ________ percent of scores fall between 3 standard deviations above and 3 standard deviations below the mean in a normal distribution.

A pattern of dots indicating scores on two different characteristics is called a ________.

About 95 percent of scores fall between ________ standard deviation(s) above and below the mean in a normal distribution.

In a set of survey results, the mean is 15 and the standard deviation is 3. With these numbers we know that 99% of the scores are between ________.

For the numbers 17, 2, 9, 12, 15, the range is ________.

About 68 percent of scores fall between ________ standard deviation(s) above and below the mean in a normal distribution.

To find the standard deviation, we must first find the ________.