Failing to reject the null hypothesis means that the sample provides insufficient evidence against it. It is not a proof that the null is true; it simply indicates that the data do not contradict the null hypothesis strongly enough to warrant rejection.
Conditions: A hypothesis test has been conducted.; The decision is to fail to reject H0.
Failing to reject the null hypothesis means that the sample provides insufficient evidence against it. It is not a proof that the null is true; it simply indicates that the data do not contradict the null hypothesis strongly enough to warrant rejection.
Conditions: A hypothesis test has been conducted.; The decision is to fail to reject H0.
The form of the alternative hypothesis dictates the tail(s) of the test. H1:μ=23 gives a two-tailed test, H1:μ<23 a left-tailed test, and H1:μ>23 a right-tailed test.
Conditions: The null hypothesis is based on a population mean of 23.; The alternative hypothesis is formulated before seeing the data.
The form of the alternative hypothesis dictates the tail(s) of the test. H1:μ=23 gives a two-tailed test, H1:μ<23 a left-tailed test, and H1:μ>23 a right-tailed test.
Conditions: The null hypothesis is based on a population mean of 23.; The alternative hypothesis is formulated before seeing the data.
The null hypothesis includes the boundary value. In the example with a population mean of 23, the null hypothesis is centered around or includes this specific value as the reference claim against which the alternative hypothesis tests for departure.
Conditions: The example uses a population mean of 23.; The null hypothesis is formulated to include this value.
The null hypothesis includes the boundary value. In the example with a population mean of 23, the null hypothesis is centered around or includes this specific value as the reference claim against which the alternative hypothesis tests for departure.
Conditions: The example uses a population mean of 23.; The null hypothesis is formulated to include this value.