**For each of the following, complete the steps listed below. Identify and write each stepwith the appropriate corresponding number. 1. Write the claim and the null and thealternate hypotheses with proper notation. 2. Identify the level of significance. 3. Drawa distribution to represent it and identify the critical value. 4. Write the inequality thatidentifies the rejection area(s). 5. USE YOUR CALCULATOR to find the test statisticand the p-value. 6. Make a decision about your test. 7. Write a sentence describing yourdecision about the claim.1.A medical researcher says that less than 85% of U.S. adults think that healthychildren should not be required to be vaccinated for the COVID virus. In arandom sample of 238 U. S. adults, 86.75% do not think that healthy childrenshould be required to be vaccinated for the COVID virus. Use a 1% level ofsignificance to test the researcher's claim.

The sample size is, U.S. adults. The sample proportion of adults who do not think that healthy children should be required to be vaccinated is, The level of significance is The true proportion is 1. The hypothesis is, Null hypothesis, The null hypothesis states that the proportion of U.S. adults who think that healthy children should not be required to be vaccinated for the COVID-19 virus is equal to or greater than .Alternative hypothesis, The alternative hypothesis states that the proportion of U.S. adults who think that healthy children should not be required to be vaccinated for the COVID-19 virus is less than .It is a left-tailed test. 2. The level of significance is .3. Since this is a test of a proportion. We can use a Z-distribution for the test at a level of significance. The Z-critical value at level of significance is calculated using Excel formula "" as follows:The Excel snip is provided below:The drawing of Z-distribution where the shaded portion shows the area corresponding to the left tail of the distribution with the level of significance is shown below:4. The rejection area is in the left tail of the distribution, where the test statistic is less than the critical value. The inequality for the rejection area is 5. The test statistic is calculated as, Thus, the value of the test statistic is .The p-value associated with the test statistic is calculated using Excel formula "" as follows:The Excel snip is provided below:6. It is observed that p-value is greater than level of significance, We fail to reject the null hypothesis.Decision rule: It is a predefined rule that when the p-value is less than the desired level of significance, we reject the null hypothesis or else not. 7. It is concluded that there is not enough evidence to claim that the proportion of U.S. adults who think that healthy children should not be required to be vaccinated for the COVID-19 virus is less than .All the steps listed in the question are described with the appropriate corresponding numbers.