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7.6: Chapter 7 - Key Terms and Symbols

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    Glossary of Key Terms and Symbols

    Key Terms

    Confidence Interval: An interval estimate that gives a range of values likely to contain the population parameter with a certain level of confidence.

    Confidence Level: The probability that the confidence interval contains the true population parameter; common levels are 90%, 95%, and 99%.

    Margin of Error: The maximum expected difference between the point estimate and the actual population parameter; it reflects the precision of the estimate.

    Point Estimate: A single value derived from sample data used to estimate a population parameter.

    Population Mean: The average value of a characteristic for the entire population.

    Population Proportion: The ratio of individuals in a population with a particular characteristic, expressed as a decimal or percent.

    Proportion Complement: The value obtained by subtracting the sample or population proportion from 1; represents the opposite category.

    Sample Mean: The average value of a characteristic in a sample, used as a point estimate for the population mean.

    Sample Proportion: The ratio of individuals in a sample with a particular characteristic.

    Sample Size: The number of observations or data points in a sample affects the accuracy and reliability of confidence intervals.

    Sampling Distribution: The probability distribution of a statistic (like the sample mean or proportion) based on all possible random samples from a population.

    Sampling Error: The difference between the sample statistic and the corresponding population parameter due to chance variation in sample selection.

    Standard Error: A measure of the variability of a sampling distribution; it is used to construct confidence intervals.

    t-Distribution: A probability distribution used instead of the normal distribution when estimating the population mean with a small sample size or when the population standard deviation is unknown.

    z-Value (or z-Score): A value from the standard normal distribution used in constructing confidence intervals when the population standard deviation is known and the sample size is large.

    Key Symbols

    \( \bar{x} \) - sample mean.

    \( \mu \) - population mean.

    \( \hat{p} \) - sample proportion.

    \( p \) - population proportion.

    \( q \) - complement of the population proportion (i.e., \( q = 1 - p \)).

    \( \hat{q} \) - complement of the sample proportion (i.e., \( \hat{q} = 1 - \hat{p} \)).

    \( n \) - sample size.

    \( E \) - margin of error.

    \( \alpha \) - significance level (i.e., \( 1 - \) confidence level).

    \( z_{\alpha/2} \) - critical value from the standard normal distribution.

    \( t_{\alpha/2} \) - critical value from the t-distribution.

    \( \sigma \) - population standard deviation.

    \( s \) - sample standard deviation.

    \( SE \) - standard error.

    \( CI \) - confidence interval.

    \( CL \) - confidence level.


    This page titled 7.6: Chapter 7 - Key Terms and Symbols is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by Toros Berberyan, Tracy Nguyen, and Alfie Swan.

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