The primary concern is deciding whether the mean of Population 1 is less than the mean of Population 2.

Given in the question that, We need to determine the null and alternative hypotheses.

A hypothesis is a testable hypothesis. The hypothesis is tested using a variety of statistical models.

A frequently accepted fact is referred to as a null hypothesis. The null hypotheses are rejected, disproved, or nullified by researchers. The researcher proposes an alternative hypothesis to refute the null hypothesis.

The major concern in the scenario is determining whether Population 1's mean is less than Population 2's mean.

First, it is assumed that Population 1's mean is greater than or equal to Population 2's mean. After that, the researcher seeks to disprove the null hypotheses.

Null hypotheses:$H_0:{\mu }_1\ge {\mu }_2$

Alternate hypotheses:$H_a:{\mu }_1<{\mu }_2$

Given in the question that, we need to classify the hypothesis test as two tailed, left tailed, or right tailed.

The major concern in the scenario is determining whether Population 1's mean is less than Population 2's mean.

First, it is assumed that Population 1's mean is greater than or equal to Population 2's mean. After that, the researcher seeks to disprove the null hypotheses.

Null hypotheses: $H_0:{\mu }_1\ge {\mu }_2$

Alternate hypotheses: $H_a:{\mu }_1<{\mu }_2$

Alternate hypotheses can be investigated from the left side of the normal distribution curve. As a result, the hypotheses test is two-tailed.