Winston is a physician who works in a city. He believes the average amount of water adults in the oty consumes less than

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Winston Is A Physician Who Works In A City He Believes The Average Amount Of Water Adults In The Oty Consumes Less Than 1 (26.89 KiB) Viewed 89 times

Winston Is A Physician Who Works In A City He Believes The Average Amount Of Water Adults In The Oty Consumes Less Than 2 (31.38 KiB) Viewed 89 times

Winston is a physician who works in a city. He believes the average amount of water adults in the oty consumes less than 60 ounces per day. To test this claim, he selects a random sample of 32 adults in the city. The following is the data from this study • The alternative hypothesis H. <60 The sample mean of the amount of water consumed for the 32 adults is 584 ounces The sample standard deviation is 4.2 ounces • The test statistic is calculated as -2.15 Using the information above and the portion of the 2-table below, choose the correct p-value and interpretation for this hypothesis test Values for rigtic-wall areas under the distribution curve 0.10 0.05 0.025 0.01 0.005 1.310 1.309 1309 Probability Degrees of Freedom 30 31 32 33 34 35 36 37 1.308 1.307 1.306 1 306 1.305 1.697 2042 2/457 2.750 1.6962040 2.453 2.744 1,694 2037 2449 2.738 1.692 2.035 2.445 2.733 1.691 2032 2.441 2.728 1,690 2030 2433 2724 1.688 2028 24342719 1.687 2.0262431 2.715
0.10 0.05 0.025 001 0.005 Probability Degrees of Freedom 30 31 32 33 34 35 36 37 38 39 40 1.3101.697 2.042 2457 2.750 1.309 1.696 2.040 2.453 2.744 1.309 1.694 2.037 24492.738 1.308 1,692 2035 2445 2.733 1.307 1.691 2032 2441 2.728 1.306 1690 2030 2438 2.724 1.306 1.688 2028 2.434 2.719 1.305 1.687 2.026 2431 2.715 1.304 1.686 2.024 | 2.429 2.712 1.304 1.685 2.023 2426 2.708 1.303 1.684 2.021 2423 2704 Select the correct answer below. The probability of obserang a value of to = -2.15 or less if the nuit hypothesis is true is between 0.01 and 0.025 The probability of observing a value of to = -2.15 or less if the nut hypothesis is true is between 0.05 and 0.10 The probability of observing a value of to = -2.15 or more if the null hypothesis is true is between 0.01 and 0.025 The probability of observing a value of To = -2.15 or less if the null hypothesis is true is between 0.005 and 0.01