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19 80% + 3. Suppose that you want to test the claim that the proportion of Apple cellphones that are defective is the same as

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19 80% + 3. Suppose that you want to test the claim that the proportion of Apple cellphones that are defective is the same as the proportion of Samsung cellphones that are defective. You obtain a simple random sample of Apple cellphones and a simple random sample of Samsung cellphones. Your results are shown in the table below. Apple Samsung Defective 17 12 Not Defective 454 491 Total 471 503 Let pi represent the population of Apple cellphones that are defective and P2 represent the population of Samsung cellphones that are defective. a. [1 pt] Which hypothesis should you use to test the claim from above? (Circle the best answer.) One-Sample z-test Independent Two-Sample z-test Paired Sample z-test b. [2 pts] Write the mathematical equation of the null and alternative hypotheses. c. [2 pts] After running the hypothesis test, you obtain the following StatCrunch output: Hypothesis test results: Difference Countl Totall Count? Totall Sample Diff, Sid Ers Z-Stat P-enter 17 471 12 503 0.012236549 @650977254 1 1228412 03615 Using a 5% significance level, do we reject Ho or fail to reject Ho? Explain your reasoning

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