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Structural-Functionalists

question 97

Multiple Choice

Structural-functionalists

Calculate and interpret the pooled estimate of proportion in hypothesis testing.
Construct and interpret 95% confidence intervals for the difference between two proportions.
Understand the use of critical values in hypothesis testing and their relation to significance levels.
Understand the relationship between sample size and Type I error.

Definitions:

Confidence Interval

A tract of values derived by statistical analysis of samples, thought to potentially include the value of a population parameter not yet known.

Sample Variances

A measure of dispersion calculated from a sample of a population, representing the average of the squared deviations from the sample mean.

Population Variances

Population variances measure the dispersion of all data points in a population around the population mean, reflecting the overall variability within that population.

Significance Level

A threshold of probability set before conducting a hypothesis test, below which the null hypothesis is rejected, symbolized as alpha (α).

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