Calibrating a scale: Making sure that the scales used by

Last updated: 7/23/2022

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 a=2.0. They weigh this weight on the scale 55 times and read the result each time. The 55 scale readings have a sample mean of x = 1000.6 grams. The scale is out of calibration if the mean scale reading differs from 1000 grams. The technicians want to perform a hypothesis test to determine whether the scale is out of calibration. Use the a=0.10 level of significance and the P-value method with the TI-84 calculator. Part: 0/4 Part 1 of 4 State the appropriate null and alternate hypotheses. Ho H₁ This hypothesis test is a (Choose one) test.