Answer :

lalababa123

Answer:

In statistical hypothesis testing, the p-value or probability value is, for a given statistical model, the probability that, when the null hypothesis is true, the statistical summary (such as the absolute value of the sample mean difference between two compared groups) would be greater than or equal to the actual

Step-by-step explanation:

In statistical hypothesis testing, the p-value or probability value is, for a given statistical model, the probability that, when the null hypothesis is true, the statistical summary (such as the absolute value of the sample mean difference between two compared groups) would be greater than or equal to the actual

Answer:

p = 10

Step-by-step explanation:

Given

x³[tex](x-y)^{9}[/tex] - y³[tex](x-y)^{9}[/tex] ← factor out [tex](x-y)^{9}[/tex] from each term

= [tex](x-y)^{9}[/tex] (x³ - y³ )

x³ - y³ ← is a difference of cubes and factors as

(x - y)(x² + xy + y² )

Thus expression can now be written

= [tex](x-9)^{9}[/tex] (x - 9)(x² + xy + y²)

= [tex]x-y)^{10}[/tex] (x² + y² + xy)

with the exponent of [tex](x-y)^{p}[/tex] being p = 10

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