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Calibrating a scale: Making sure that the scales used by businesses in the United States are accurate is the responsibility of the National Institute for Standards and Technology (NIST) in Washington, D.C. Suppose that NIST technicians are testing a scale by using a weight known to weigh exactly 1000 grams. The standard deviation for scale reading is known to be o = 2.3. They weigh olo this weight on the scale 49 times and read the result each time. The 49 scale readings have a sample mean of x = 999.0 grams. The calibration point is set too low if the mean scale reading is less than 1000 grams. The technicians want to perform a hypothesis test to determine whether the calibration point is set too low. Use the a = 0.01 level of significance and the P-value method with the TI-84 calculator. Part 1 of 4 State the appropriate null and alternate hypotheses. Hi H = 1000 H: H # 1000 This hypothesis test is a two-tailed V test.Find the P-value. Round the answer to at least four decimal places. P-value = Part 3 of 4 Determine whether to reject H. (Choose one) V the null hypothesis Ho- Part: 3 / 4 Part 4 of 4 calibration point is set too high calibration point is set too low scale is out of calibration dence to conclude that the (Choose one)Find the P-value. Round the answer to at least four decimal places. P-value = Part 3 of 4 Determine whether to reject H. (Choose one) V the null hypothesis Ho- Part: 3 / 4 Part 4 of 4 State a conclusion. There (Choose one) enough evidence to conclude that the (Choo is is notFind the P-value. Round the answer to at least four decimal places. P-value = Part 3 of 4 Determine whether to reject Ho- (Choose one) the null hypothesis Ho. X Reject Do Not Reject Part: 3 / 4 Part 4 of 4 State a conclusion. There (Choose one) V enough evidence to conclude that the (Choose one)