The correct statement should be "A one-sample z -test for a sample proportion".
A statistical test that helps to determine whether the two population means are different when the variances are known and the sample size is large. This statistical test is known as Z-test.
It is used when we want to know whether the difference between the mean of a sample and the population is large enough to be significant statistically, that is if it is unlikely to have occurred by chance.
The test is performed to check the violations of normal distribution and it is usually used for large sample size (N > 30), or when the population variance is known.
The null hypothesis will be,
[tex]H_0 <0.2[/tex]
The alternate hypothesis will be,
[tex]H_1>0.2[/tex]
So, we can say that the test is left-tailed or oriented.
Hence, the correct statement should be "A one-sample z -test for a sample proportion".
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