In: Statistics and Probability
A genetic experiment involving peas yielded one sample of offspring consisting of
420
green peas and
134
yellow peas. Use a
0.05
significance level to test the claim that under the same circumstances,
24%
of offspring peas will be yellow. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the P-value method and the normal distribution as an approximation to the binomial distribution.
Let p be the true proportion of yellow offspring peas under the same circumstances. We want to test the claim that under the same circumstances, 24% of offspring peas will be yellow. That is, we want to test the claim that p=0.24
The hypotheses are
From the sample we have the following
The hypothesized value of the proportion of yellow offspring is
The values
are both greater than 5. Hence we can use the normal distribution as an approximation to the binomial distribution as the sampling distribution of
The standard error of sample proportion is
The test statistic is
This is a 2 tailed test (The alternative hypothesis has "not equal to")
The p-value is the sum of area under both the tails
We will reject the null hypothesis, if the p-value is less than the significance level.
Here, the p-value is 0.9203 and it is greater than the significance level . Hence we do not reject the null hypothesis.
We conclude that there is no sufficient evidence to reject the claim that under the same circumstances, 24% of offspring peas will be yellow.