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We have two types of hypothesis i.e., Null Hypothesis and Alternative Hypothesis. we take null hypothesis as the same statement given in the problem. Alternative hypothesis is the statement that is complementary to null hypothesis.

When our calculated value is less than the tabulated value, we accept null hypothesis otherwise we reject null hypothesis.

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We have two types of hypothesis i.e., Null Hypothesis and Alternative Hypothesis. we take null hypothesis as the same statement given in the problem. Alternative hypothesis is the statement that is complementary to null hypothesis.

When our calculated value is less than the tabulated value, we accept null hypothesis otherwise we reject null hypothesis.

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Then the null hypothesis is greater than 0.005! So what?

Then the null hypothesis is greater than 0.005! So what?

Then the null hypothesis is greater than 0.005! So what?

Then the null hypothesis is greater than 0.005! So what?

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The null hypothesis is an hypothesis about some population parameter. The goal of hypothesis testing is to check the viability of the null hypothesis in the light of experimental data. Based on the data, the null hypothesis either will or will not be rejected as a viable possibility.

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If we reject the null hypothesis, we conclude that the alternative hypothesis which is the alpha risk is true. The null hypothesis is used in statistics.

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Be able to reject the null hypothesis and accept the research hypothesis

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