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Two Sample Proportion Z Test

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Two Sample Proportion Z Test. For example, suppose a phone company claims that 90% of its customers are satisfied with their service. Where and are the means of the two samples, δ is the hypothesized difference between the population means (0 if testing for equal means), s 1 and s 2 are the standard deviations of the two samples, and n 1 and n 2 are the sizes of the two samples.

Hypothesis Testing Parametric And Non Parametric Tests
Hypothesis Testing Parametric And Non Parametric Tests from statmagic.info
Therefore, assuming the true population proportion is 0.5, a sample proportion of 0.556 is 2.504 standard deviations above the mean. Where and are the means of the two samples, δ is the hypothesized difference between the population means (0 if testing for equal means), s 1 and s 2 are the standard deviations of the two samples, and n 1 and n 2 are the sizes of the two samples. Two normally distributed but independent populations, σ is unknown.

Using sample data, we calculate the.

State the null hypothesis h 0 and the alternative hypothesis h a. Two normally distributed but independent populations, σ is unknown. Suppose we want to know if there is a difference in the proportion of residents who support a certain law in county a compared to the proportion who support the law in county b. Therefore, assuming the true population proportion is 0.5, a sample proportion of 0.556 is 2.504 standard deviations above the mean.

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