How will you formulate the appropriate null and alternativehypotheses on a population mean.

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Null Hypothesis - It states that there no relationship/difference between sample means or proportions. It is represented by       H    0  . It takes &quot;=&quot;, &quot;  ≤&quot; or &quot;  ≥&quot; operators depending on the wording of the hypotheses test.Alternative Hypothesis is a claim about the population that is contradictory to       H    0  . It is represented by       H    1  . It takes &quot;  ≠&quot;, &quot;&amp;lt;&quot; or &quot;&amp;gt;&quot; operators depending on the wording of the hypotheses test.  Null hypothesis       H    0    ÷  μ  =  40    Alternative Hypothesis       H    1    ÷  μ  ≠  40Here, we test whether the mean of a population is statistically different from a known or hypothesized value (40).This is a two tailed test, since the alternative hypothesis contains &quot;  ≠&quot; symbol.A right tailed test contains a greater than (&amp;gt;) symbol in the alternative hypothesis.If we are asked to test if the population mean is greater than 40, we use a right tailed test.Then, the null hypothesis states that the mean is less than or equal to 40. The alternative hypothesis would be that the mean is greater than 40.A left tailed test contains a less than (&amp;lt;) symbol in the alternative hypothesis.If we are asked to test if the population mean is less than 40, we use a left tailed test.Then, the null hypothesis states that the mean is greater than or equal to 40. The alternative hypothesis would be that the mean is less than 40.

How will you formulate the appropriate null and alternative hypotheses on

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