P values for chi-square tests provide a quantitative measure of the probability that the results of another replicate experiment will deviate as much or more from expected results by chance. By convention, the chance hypothesis is rejected when the p value is less than .

0.05

Step-by-step explanation:

P value that is less than 0.05, that is P < 0.05 means that the null hypothesis is false and should be rejected. If the P value is greater than 0.05, that is P > 0.05, it means the null hypothesis is true. The P value is also called the calculated probability value. P value subtracted from 1 is the probability that the alternative hypothesis is true.

dont think so

step-by-step explanation:

if the pizza is divided equally into 2 equal halves then you would get

πr^2/2

where r is the radius of the pizza.

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