A researcher claims that the variation in the salaries of elementary school teachers is greater than the variation in the salaries of secondary school teachers (the claim). A random sample of 30 elementary school teachers has a variance of $ 8324, and a random sample of 30 secondary school teachers has a variance of $2862. At α= 0.05, can the researcher conclude that the variation in the elementary school teachers' Salaries is greater than the variation in the secondary teachers' salaries? Use the P-value method. Assume that all variables are normally distributed.

a. State the hypotheses and identify the claim.
b. Find the critical value.
c. Compute the test value.
d. Make the decision.
e. Summarize the results.

a

The null hypothesis is  

The alternative hypothesis is

b

c

d

    The decision rule is  

Reject the null hypothesis

e

There is sufficient evidence to support the researchers claim

Step-by-step explanation:

From the question we are told that

 The first sample size is  

 The sample variance for elementary school is  

 The second sample size is  

  The sample variance for the secondary school is  

   The significance level is  

The null hypothesis is  

The alternative hypothesis is

Generally from the F statistics table  the critical value of at first and  second degree of freedom and   is  

Generally the test statistics is mathematically represented as

=>  

=>  

Generally from the value obtained we see that   Hence

   The decision rule is  

Reject the null hypothesis

    The conclusion is  

  There is sufficient evidence to support the researchers claim

no because mercury has a density of 13.6 grams per centimeter squared while gold has 19.32 grams centimeter squared

step-by-step explanation: