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.

c

step-by-step explanation:

it isn't d, because the interquartile range is from 27-57. and the interquartile range is basically half the data, it's pretty obvious.

it isn't b, because like i said earlier, the interquartile range is from 27-57. 57-27 is 30. the real range has to be longer

not a either. although it looks like it, 3/4 of the data is not greater than 27. but if c is wrong than this should be correct

the correct answer is c, because 13 is the point in which the plot starts

so then what are you asking?

step-by-step explanation: