$\"\"$

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A small p-value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, so you reject the null hypothesis.
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A large p-value (> 0.05) indicates weak evidence against the null hypothesis, so you fail to reject the null hypothesis.
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p-values very close to the cutoff (0.05) are considered to be marginal (could go either way). Always report the p-value so your readers can draw their own conclusions
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Step 1:

The mean height of the women is 160.0 cm. \ \

The p-value is 0.0614.

The p-value is greater than 0.05, which indictes weak evidence against null hypothesis, hence fail to reject the null hypothesis. \ \

Null hypothesis :

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One of these statements must become the null hypothesis , and the other should be the alternate hypothesis.

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The null hypothesis contains equality.

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So for the above, the null hypothesis H₀ : x = 160

Step 2:

Alternate hypothesis :

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The statement that does not contain equality is the alternative hypothesis.

hence for the above scenario, the alternate hypothesis H_a : $\"\"$ .

Solution :

The claim is not rejected when the null hypothesis H₀ is x = 160.

The claim is not rejected when the alternate hypothesis H_a is $\"\"$ .