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Two Means - Sigma Known Hypothesis Test - Excel definitions
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Define:
Population Standard Deviation
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Population Standard Deviation
A known measure of spread for an entire group, used to determine variability when performing a z-test for two means.
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Terms in this set (15)
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Population Standard Deviation
A known measure of spread for an entire group, used to determine variability when performing a z-test for two means.
Normal Distribution
A symmetric, bell-shaped curve used as the basis for calculating probabilities in z-tests when population spread is known.
Z-Test
A statistical method for comparing two means when population standard deviations are known, relying on the normal curve.
Null Hypothesis
A starting assumption stating no difference exists between two group averages, often represented as equal means.
Alternative Hypothesis
A claim suggesting a difference or specific direction between two group averages, such as one being less than the other.
Sample Mean
An average calculated from collected data, representing the central value for each group in the test.
Sample Size
The number of observations or data points collected from each group, impacting the calculation of test statistics.
Z-Score
A value showing how far the observed difference between means is from zero, measured in standard error units.
P-Value
A probability indicating how likely the observed data would occur if the null hypothesis were true.
Alpha Level
A threshold probability, often set at 0.05, used to decide whether to reject the null hypothesis.
Test Statistic
A calculated number summarizing the evidence against the null hypothesis, compared to a reference distribution.
Left Tail Probability
The cumulative chance of observing a value as extreme or more extreme in the negative direction under the normal curve.
Cumulative Distribution
A function giving the probability that a variable falls below a certain value, used to find p-values in Excel.
Numerator
The difference between two sample averages, forming the top part of the z-score formula.
Denominator
The square root of the sum of variances divided by sample sizes, forming the bottom part of the z-score formula.