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Hypothesis Testing & Variance - Research Paper Example

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In the paper “Hypothesis Testing & Variance” the author analyzes a two tailed test of hypothesis, which is equal to inquiring whether the 95% interval of confidence for the means takes into consideration the hypothesized mean. This implies that the null hypothesis cannot be ignored…
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Hypothesis Testing & Variance
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Hypothesis Testing & VarianceIntroduction.A two tailed test of hypothesis at 5 percent significant level (μ = .05) is equal to inquiring whether the 95% interval of confidence for the means takes into consideration the hypothesized mean. Whenever the confidence interval includes the mean that is hypothesized an alternate or null hypothesis could be formulated. This implies that the null hypothesis cannot be ignored. This paper explores the t-tests and z-tests.Test 1.Hypothesis Test 1 looking at intrinsic satisfaction by Gender.

Alternate and null hypotheses.H0: μ = 5.2 and H0 is not equal to 5.2. (alpha is 0.05)Table 1:t-Test: Paired Two Sample for Means IntrinsicGenderMean5.0787881.5Variance0.5703120.253846Observations6666Pearson Correlation-0.04448Hypothesized Mean Difference5.2df65t Stat-14.2189P(T

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