Answer :
"Fail to reject the null hypothesis" is the correct conclusion for the test.
We have given that,
a P-value of 1.018943 is calculated on a hypothesis test with significance level set at 0.01.
That means p-value is greater that significance level.
And we know that if p-value is greater than significance level then the effect is statistically not significant. There is no enough evidence to reject the null hypothesis.
A p-value greater than 0.01 means that deviation from the null hypothesis is not statistically significant, and the null hypothesis is not rejected.
High p-value indicates that your evidence is not strong enough to suggest an effect exist in the population. An effect might exist but it's possible that the effect size is too small, that sample size is too small or there is too much variability for the hypothesis test to detect it.
Therefore "Fail to reject the null hypothesis" is the correct conclusion for the given test.
To know more about null hypothesis here
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