The p-value of this new study is 0.055
Given that,
Assume that a second study of millennials was conducted with the same sample size, 99% confidence level, and methodology.
The probability that the sample proportion is greater than the crucial value is known as the p-value. In other words, the probability that the null hypothesis would be rejected is the p-value. Assume that the real ratio in our situation is 0.69. If so, there is a 0.05 percent chance that the sample percentage is higher than or equal to the observed proportion.
The correct response is therefore If the true proportion was 0.69, he would obtain a sample proportion with a probability of 0.055 that was at least as large as what he observed.
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