Regents Algebra 2 Statistics

Front

What is the margin of error in statistics?

Back

The margin of error is a measure of the uncertainty in a survey's results, indicating the range within which the true value is expected to fall.

Front

How do you calculate the margin of error for a proportion?

Back

Margin of error = Z * sqrt[(p(1-p)/n)], where Z is the Z-score for the desired confidence level, p is the sample proportion, and n is the sample size.

Front

What does a 95% confidence level mean?

Back

A 95% confidence level means that if the same survey were conducted multiple times, 95% of the calculated margins of error would contain the true population parameter.

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.

Front

What is the significance of the mean in a data set?

Back

The mean is the average of a data set, calculated by adding all values and dividing by the number of values, representing the central tendency.

Front

What is standard deviation?

Back

Standard deviation is a measure of the amount of variation or dispersion in a set of values, indicating how much individual data points differ from the mean.

Front

What is the difference between observational studies and experiments?

Back

Observational studies observe subjects without intervention, while experiments involve manipulation of variables to determine cause-and-effect relationships.

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What is a random sample?

Back

A random sample is a subset of individuals chosen from a larger set, where each individual has an equal chance of being selected, ensuring unbiased representation.

Front

What is the purpose of conducting a survey?

Back

The purpose of conducting a survey is to gather information and insights from a specific population to understand opinions, behaviors, or characteristics.

Front

What does it mean for data to be biased?

Back

Data is biased when it systematically favors certain outcomes or groups, leading to inaccurate or misleading results.