Measures Of Central Tendency

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What is the definition of Measures of Central Tendency?

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Measures of Central Tendency are statistical measures that describe the center or typical value of a dataset. The main measures are mean, median, and mode.

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What is the mean in a set of numbers?

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

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What is the median in a set of numbers?

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The median is the middle number in a sorted list of numbers. If there is an even number of observations, the median is the average of the two middle numbers.

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What is the mode in a set of numbers?

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The mode is the number that appears most often in a dataset.

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How do you calculate the range of a dataset?

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The range is calculated by subtracting the smallest number from the largest number in the dataset.

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What does a cumulative frequency distribution show?

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A cumulative frequency distribution shows the total number of observations that fall below a particular value in a dataset.

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If the median of a dataset is 24, what does this indicate?

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This indicates that half of the numbers in the dataset are below 24 and half are above 24.

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What is the relationship between mean, median, and mode in a normal distribution?

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In a normal distribution, the mean, median, and mode are all equal.

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What is an example of calculating the mean?

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For the numbers 2, 3, and 5, the mean is (2 + 3 + 5) / 3 = 10 / 3 = 3.33.

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What is an example of finding the median?

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For the numbers 1, 3, 3, 6, 7, 8, the median is 3 (the middle number). If the numbers were 1, 3, 3, 6, 7, 8, 9, the median would be (3 + 6) / 2 = 4.5.