뒤로Two Means - Known Variance definitions
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1/15뒤로Skip to main content뒤로Hypothesis Test
A procedure to assess evidence for a claim about population means using sample data and statistical calculations. Null Hypothesis
A statement asserting no difference between population means, serving as the default assumption in testing. Alternative Hypothesis
A statement proposing a difference or specific relationship between population means, opposing the null. Population Standard Deviation
A known measure of variability within a population, used in calculations for z-tests involving two means. Sample Mean
An average value calculated from a sample, used to estimate the corresponding population mean. Sample Size
The number of observations in each group, influencing the reliability and validity of statistical results. Z-Test
A statistical method for comparing two means when population standard deviations are known, using the z-score. Z-Score
A value indicating how many standard deviations a sample mean difference is from the hypothesized difference. P-Value
A probability quantifying the evidence against the null hypothesis, guiding decision-making in hypothesis testing. Significance Level
A threshold, often denoted by alpha, determining when to reject the null hypothesis based on the p-value. Independent Sample
A group of observations collected without influence from other samples, ensuring valid statistical inference. Random Sample
A selection method where each member of the population has an equal chance of being chosen, reducing bias. Normal Distribution
A bell-shaped probability distribution required for certain statistical tests, especially with smaller sample sizes. Two-Sample Z-Test
A specific z-test comparing means from two independent samples with known population standard deviations. Alpha
A preset probability threshold for error, commonly set at 0.05, used to judge statistical significance.
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