Does a p-value of 0.1 mean that 1% of the time, the amount of deviation seen between observed and expected values could occur due to chance alone?

If the p-value is less than 0.05 then  we would only see a sample as extreme as the one that we saw less than 5% of the time Correct Answer  assuming that the null hypothesis is true, we would only see a sample as extreme as the one that we saw less than 5% of the time   there is more than a 5% chance that the null hypothesis is true   there is less than a 5% chance that the null hypothesis is true.

What is a probability?1 pointThe proportion of times that something will occur in the long run.An uncertainty.A P-value.The number of times that something occurs in an experiment.

Assuming a binomial experiment with p = 0.5 and a sample size of 100. The expected value of this distribution is?

The p-value for the hypothesis test is 0.0062 , which means the observed difference [ Select ] statistically significant at the 1% level.

If we use  p to denote the probability of success, and, therefore, 1 − p is the probability of ""