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in Sampling Techniques and Statistical Inference by (48.4k points)
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Explain in detail about the test of significance of a single mean.

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A random sample of size n (n ≥ 30) is drawn from a population. We want to test the population mean has a specified value µ0

Procedure for testing: (For two-tail test) 

The null hypothesis is H0: µ = µ0

The alternative hypothesis is H1 : µ ≠ µ2 

Since n is large the sampling distribution of \(\overline{x}\) (the sample mean) is approximately normal. 

The test statistic

For a significance level α = 0.05 (5% level) 

If |Z| < 1.96, H0 is accepted at 5% level. If |Z| > 1.96, H0 is rejected at 5% level 

For α = 0.01 (1% level), if |Z| < 2.58, H0 is accepted. If |Z| > 2.58, H is rejected.

Procedure for the one-tail test: (left tail)

H0: µ ≥ µ0 

H1 : µ < µ1 

At α = 0.05, |Z| = 1.645 

If Z < -1.645, H0 is rejected If Z > -1.645, H0 is accepted 

One tail test: (right tail) 

If Z < 1.645, H0 is accepted If Z > 1.645, H0 is rejected at 5% level of significance.

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