An article reports that men over 6 feet tall earn more than men under 6 feet, with these numbers: average 6 foot plus male’s salary $55,000, average male’s salary under 6 foot tall of $47,000, with a p-value of 0.45. Based on that reported p-value, and using the common definition of "statistical significance," which is the case?
a. With that p value, the results are not significant.
b. The salary differences are statistically significant.
c. The salary differences are not statistically significant.
d. With that p value, the differences are very close but not statistically significant.

Statistical significance refers to the claim that a result from data generated by testing or experimentation is not likely to occur randomly or by chance but is instead likely to be attributable to a specific cause.

It is given that

Average 6 foot plus male’s salary = $55,000

Average male’s salary under 6 foot tall = $47,000

p-value = 0.45

As the p-value 0.45 is greater than p-value 0.05,

So statement men over 6 feet tall earn more than men under 6 feet is acceptable, we can say that salary differences are statistically significant.

Therefore, The salary differences are found to be statistically significant.

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