Chapter 3: Measures of Central Tendency
Chapter 4: Measures of Variability
Chapter 5: Visualizing Data
Chapter 6: Correlation Coefficients
Interpretation-Based Questions
100

The three most common measures of central tendency

What are the mean, median, and mode?

100

The three common measures of variability:

What are Range, Standard Deviation, and Variance?

100
This graph conveys the same information as a frequency distribution table

Histogram and/or Frequency Polygon

100

This type of correlation indicates that both variables change in the same direction: For example, as variable (X) increases, variable (Y) increases.

What is a positive correlation

100

Interpret the following mean and standard deviation: 

The state of CT sampled 5,000 high schoolers and measured the number of books they read annually.

Mean = 6.75

Standard Deviation = 9.31

Among this sample of high school students, the average number of books read annually is 6.75. Any one individual is expected to vary (or deviate) from the mean of 6.75, by 9.31 books per year.
200

This measure of central tendency is considered the least precise

What is the Mode?

200

This measure of variability is considered the most precise. 

What is the standard deviation?

200

This term would be used to describe a distribution of exam scores in which most individual scored very high and only a few scored very low

What is negative skew?
200

What would best describe the strength of this correlation: r = -0.88

The correlation is very strong

200

Fully interpret the following correlation between self-reported number of delinquent peers (X) and number of prior arrests (Y)

r = +0.66

Strength: Strong

Direction: Positive; as the number of delinquent peers increases, the number of prior arrests also increases

300

Examples of this level of measurement include temperature and credit scores.

What are Interval-level measures?

300

This type of kurtosis best describes a distribution with a very low standard deviation

What is leptokurtic

300

This term would be used to describe a distribution with very high variability and a distribution that appears very flat. 

What is platykurtic?

300

This type of graph is most commonly associated with correlations

What is a scatterplot?

300

If the following histogram depicts course satisfaction, Describe what the histogram indicates to you about students' satisfaction with the course.



Few students are extremely satisfied or dissatisfied with the course. Most are in the middle (neither satisfied or dissatisfied). 

400

This measure of central tendency should be used when the data set contained an outlier

What is the Median?


400

What effect does an outlier have on measures of variability?

Outliers inflate all measures of variability

400

This form of visualization would be best suited for visualizing continuous data.

What is a histogram

400

This measure indicated the percent of variability in variable (Y) explained by variable (X)

What is the coefficient of determination? (CoD)

400

Calculate and interpret the coefficient of determination for the following correlation between self-reported number of delinquent peers (X) and number of prior arrests (Y): r = +0.66

r2 = 0.4366; 43.66% of the variability (or differences) in prior arrest can be explained by the number of delinquent peers

500

True/False: The mean, median, and mode should be equal if a distribution is not skewed

True

500

True/False: The range can be calculated for both continuous and categorical data.

False
500

True/False: A pie chart and a bar chart can be used to convey the same information

True

500

True/False: A correlation can be used to establish a causal relationship

False

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