This video tutorial demonstrates how to create a frequency table from raw data and use it to build a histogram. It covers identifying the data range, selecting appropriate intervals, and constructing the table and histogram. The tutorial emphasizes the importance of consistent intervals and provides a step-by-step guide to tallying data and visualizing it in a histogram. Viewers are encouraged to subscribe for more educational content and visit the website for additional help.

What is the primary purpose of using frequency tables in data analysis?

• To decrease the size of data

• To simplify complex data sets

• To increase data values

• To create graphical content

Why should intervals in a frequency table have no gaps?

• To reduce data points

• To ensure data continuity

• To make the table look full

• To increase interval range

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How many intervals are typically recommended for a frequency table?

• 5 to 20

• 10 to 30

• 1 to 10

• 15 to 25

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What is the maximum value in the provided data set?

• 12

• 85

• 100

• 90

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What range of numbers is used for the intervals in the frequency table?

• 0 to 90

• 12 to 85

• 10 to 90

• 0 to 100

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How many data points fall into the interval 30 to 40?

• None

• Two

• One

• Three

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What is the frequency for the interval 50 to 60?

• Four

• Eight

• Five

• Two

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What should be labeled on the horizontal axis of a histogram?

• Data range

• Percent

• Frequency

• Interval number

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Which interval has the highest frequency according to the histogram?

• 40 to 50

• 70 to 80

• 60 to 70

• 50 to 60

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What is the correct title for the histogram?

• Score Distribution

• Math Scores

• Math Marks

• Frequency of Scores

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