Module 1 Practice Questions (2)

Module 1 Practice Questions (2)

Assessment

Flashcard

Mathematics

University

Practice Problem

Hard

Created by

Wayground Content

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15 questions

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1.

FLASHCARD QUESTION

Front

What is a boxplot?

Back

A boxplot is a graphical representation of data that shows the distribution's minimum, first quartile, median, third quartile, and maximum. It helps visualize the spread and identify outliers.

2.

FLASHCARD QUESTION

Front

What does the term 'histogram' refer to?

Back

A histogram is a graphical representation of the distribution of numerical data, where the data is divided into bins or intervals, and the frequency of data points in each bin is represented by the height of the bars.

3.

FLASHCARD QUESTION

Front

What does standard deviation measure?

Back

Standard deviation measures the amount of variation or dispersion in a set of values. A low standard deviation indicates that the values tend to be close to the mean, while a high standard deviation indicates that the values are spread out over a wider range.

4.

FLASHCARD QUESTION

Front

What is the empirical rule in statistics?

Back

The empirical rule states that for a normal distribution, approximately 68% of the data falls within one standard deviation of the mean, about 95% falls within two standard deviations, and about 99.7% falls within three standard deviations.

5.

FLASHCARD QUESTION

Front

What is the mean in a data set?

Back

The mean is the average of a set of numbers, calculated by adding all the values together and dividing by the number of values.

6.

FLASHCARD QUESTION

Front

What is a normal distribution?

Back

A normal distribution is a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean.

7.

FLASHCARD QUESTION

Front

What is the significance of outliers in data analysis?

Back

Outliers are data points that differ significantly from other observations. They can skew the results and affect the mean and standard deviation, making it important to identify and analyze them.

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