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Calibrating a scale: Making sure that the scales used by businesses in the United States are accurate is the responsibity 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 exactiy 1000 grams The standard deviation for scale reading is known to be o=3.2. They weigh this weight on the scale 52 times and read the result each time. The 52 scale readings have a sample mean of x= 10000.6 grams. The calibration point is set too high if the mean scale reading is more than 1000 grams. The technicians want to perform a hypothesis test to determine whether the calibration point is set too high. Use (a =0.10 level of significance and the critical value method.

Calibrating a scale: Making sure that the scales used by businesses in the United States are accurate is the responsibity 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 exactiy 1000 grams The standard deviation for scale reading is known to be o=3.2. They weigh this weight on the scale 52 times and read the result each time. The 52 scale readings have a sample mean of x= 10000.6 grams. The calibration point is set too high if the mean scale reading is more than 1000 grams. The technicians want to perform a hypothesis test to determine whether the calibration point is set too high. Use (a =0.10 level of significance and the critical value method.

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 32E
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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=3.2. They weigh this weight on the scale 52 times and read the result each time. The 52 scale readings have a sample mean of x= 1000.6 grams. The calibration point is set too high if the mean scale reading is more than 1000 grams. The technicians want to perform a hypothesis test to determine whether the calibration point is set too high. Use a =0.10 level of significance and the critical value method.
Transcribed Image Text: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=3.2. They weigh this weight on the scale 52 times and read the result each time. The 52 scale readings have a sample mean of x= 1000.6 grams. The calibration point is set too high if the mean scale reading is more than 1000 grams. The technicians want to perform a hypothesis test to determine whether the calibration point is set too high. Use a =0.10 level of significance and the critical value method.
Determine whether to reject H (Choose one) v the null hypothesis H. Reject Do not reject
Transcribed Image Text:Determine whether to reject H (Choose one) v the null hypothesis H. Reject Do not reject
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