Histograms Practice

What is a histogram?

• A histogram is a graphical representation of the distribution of a dataset.

• A histogram is a statistical graph that represents the frequency of data within specified intervals.

• A histogram is a visual representation of the relationship between two variables.

• A histogram is a type of bar chart used to display data in a two-dimensional format.

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What are the main components of a histogram?

• colors, legends, and markers.

• axes, labels, and lines.

• classes, frequencies, and bars

• gridlines, tick marks, and titles.

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What does the shape of a histogram represent?

• Distribution of data

• Standard deviation of data.

• Mean of data.

• Frequency of data.

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How do you calculate the frequency of a histogram?

• Sum the values in each class.

• Count the number of data points in each class.

• Divide the number of classes by the total number of data points.

• Calculate the average value in each class.

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What is the difference between a frequency histogram and a relative frequency histogram?

• A frequency histogram displays the range of values in a dataset, while a relative frequency histogram displays the standard deviation of values in a dataset.

• A frequency histogram displays the number of occurrences of each value in a dataset, while a relative frequency histogram displays the proportion or percentage of occurrences of each value in a dataset.

• A frequency histogram displays the average value of each occurrence in a dataset, while a relative frequency histogram displays the median value of each occurrence in a dataset.

• A frequency histogram displays the cumulative frequency of values in a dataset, while a relative frequency histogram displays the cumulative relative frequency of values in a dataset.

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What is the purpose of a cumulative frequency histogram?

• To display the individual frequencies of a dataset.

• To show the mean of a dataset.

• To compare two different datasets.

• To display the amount of the data that is less than or equal to a certain value.

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How can you interpret a histogram to understand the data distribution?

• A histogram helps us understand the data distribution by visualizing the frequency or count of data points within different ranges.

• A histogram helps us understand the data distribution by indicating the standard deviation of the data points.

• A histogram helps us understand the data distribution by displaying the maximum value of the data points.

• A histogram helps us understand the data distribution by showing the average value of the data points.

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How many cities have temperatures between 70 degrees and 99 degrees?

• 44
• 34
• 26
• 62

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Which interval has 4 students?

• 56-59
• 60-63
• 60-67
• 48-51

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How many people watched less than 11 hours of TV last week?

• 48
• 90
• 20
• 65

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