Here's an example, and here is the problem. Try to solve it as best posible and make sure to label each step with its corresponding number. HYPOTHESIS TESTING FOR A POPULATION CORRELATION COEFFICIENTRemember your symbols:r=Sample correlationCoefficientHypotheses, Degrees of Freedom, and the Test StatisticHypotheses: While you CAN use left, right, and two-tailed hypotheses for the population.correlation coefficient, we will ONLY consider two-tailed hypothesis tests for p.Degrees of Freedom: A t-test will be used to test whether the correlation between twovariables is significant. The degrees of freedom for hypothesis testing for the populationcorrelation coefficient will be d.f. = n-2 (where n is the number of pairs of data)Test Statistic: We use the test statistic r (the sample correlation coefficient)Advertisingexpenses(1000s of $)USE THE TI-84 LinRegTTest to find your t-test statistic and your p-valueComplete the following steps. Identify each step with the appropriate corresponding number.1. Write the claim and the null and the alternate hypotheses. 2. Identify a. 3. Draw adistribution to represent it and identify the critical value(s). 4. Write the inequality thatidentifies the rejection area(s). 5. Find the test statistic. 6. Make a decision about your test. 7.Write a sentence describing your decision about the claim in context with the problem.2.41.62.02.61.41.62.02.2EXAMPLE 1Is there enough evidence at a = 0.01 to conclude that there is a significant statistical correlationbetween advertising hours and company sales?Company Sales(1000s of $)p= population correlation225184220240180184186215341 Ryect Ho if + test5CoefficentClaim There is a statisticalCorrelation between advertisinghours and company sales.Ho: P = OH₁: P =3,707 or t-test ≤-3707r=01913t=5,478P-value 0.001556 Ryect. HoINt=-3707m+=3,707There is evidence ata =, 01 to support the claimthat there is a significentCorrelation betweenadvertising salesand company sales. **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 t-test statisticand the p-value. 6. Make a decision about your test. 7. Write a sentence describing yourdecision about the claim.Problem #2Nike claims that golfers can lower their scores by using their newly designed golf clubs.Eight golfers are randomly selected and each is asked to give his or her most recent score.After using the new clubs for one month, the golfers are again asked to give their mostrecent scores. (Assume for this problem that golfers will tell the truth!) The scores foreach golfer are given in the table below. Assuming the golf scores are normallydistributed, is there enough evidence to support Nike's claim at a = 0.05?Golfer124567Score898482749285(Old Design)Score(New Design)8283396928476918089191

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T test are used to compare the mean significance between the sample and population. It also used to…