In: Statistics and Probability
A physicist claims that more than 19% of all persons exposed to a certain amount of radiation will feel discomfort. A researcher selected a random sample, 48 of 220 persons exposed to radiation felt discomfort.
Identify the significance level. Check the assumptions to identify the sampling distribution under null hypothesis. Compute the P-value.
Solution:
Here, we have to use one sample z test for the population proportion.
The null and alternative hypotheses for this test are given as below:
Null hypothesis: H0: About 19% of all persons exposed to a certain amount of radiation will feel discomfort.
Alternative hypothesis: Ha: More than 19% of all persons exposed to a certain amount of radiation will feel discomfort.
H0: p = 0.19 versus Ha: p > 0.19
This is an upper tailed test.
We assume
Level of significance = α = 0.05
Test statistic formula for this test is given as below:
Z = (p̂ - p)/sqrt(pq/n)
Where, p̂ = Sample proportion, p is population proportion, q = 1 - p, and n is sample size
x = number of items of interest = 48
n = sample size = 220
p̂ = x/n = 48/220 = 0.218181818
p = 0.19
q = 1 - p = 0.81
Z = (p̂ - p)/sqrt(pq/n)
Z = (0.218181818 – 0.19)/sqrt(0.19*0.81/220)
Z = 1.0655
Test statistic = 1.0655
P-value = 0.1433
(by using z-table)
P-value > α = 0.05
So, we do not reject the null hypothesis
There is not sufficient evidence to conclude that More than 19% of all persons exposed to a certain amount of radiation will feel discomfort.