Statistics Mid Term Exam Review

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What is a boxplot?

Back

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

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How do you calculate the mean?

Back

The mean is calculated by adding all the values in a dataset and dividing by the number of values. For example, for weights 10, 12, 14, the mean is (10+12+14)/3 = 12.

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What is a simple random sample?

Back

A simple random sample is a subset of a population where each member has an equal chance of being selected. This method helps ensure that the sample is representative of the population.

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What is response bias?

Back

Response bias occurs when participants provide inaccurate or false answers to survey questions, often due to misunderstanding or social desirability.

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What is the normal distribution?

Back

The 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.

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What is standard deviation?

Back

Standard deviation is a measure of the amount of variation or dispersion in a set of values. A low standard deviation means 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.

Front

What is coverage bias?

Back

Coverage bias occurs when some members of the population are inadequately represented in the sample, leading to skewed results.

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What is the population of interest in a survey?

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The population of interest is the entire group that a researcher wants to draw conclusions about, from which a sample is taken.

Front

What is a disclaimer in statistics?

Back

A disclaimer in statistics is a statement that limits the scope of the data or findings, often indicating variability or conditions under which the data should be interpreted.

Front

What does it mean for a weight to fall within a normal distribution?

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It means that the weight is within the expected range of values based on the mean and standard deviation, indicating it is a typical observation.