Math Problem Statement

A manufacturer must test that his bolts are 4.00cm long when they come off the assembly line. He must recalibrate his machines if the bolts are too long or too short. After sampling 81 randomly selected bolts off the assembly line, he calculates the sample mean to be 3.97cm. He knows that the population standard deviation is 0.14cm. Assuming a level of significance of 0.01, is there sufficient evidence to show that the manufacturer needs to recalibrate the machines? Step 1 of 3 : State the null and alternative hypotheses for the test.

Solution

To determine whether the manufacturer needs to recalibrate the machines, you need to set up the null and alternative hypotheses. These hypotheses are based on the claim that the manufacturer wants to test if the bolts are not 4.00 cm long.

  • Null Hypothesis (H0H_0): The population mean length of the bolts is equal to 4.00 cm. Mathematically, this is represented as H0:μ=4.00H_0: \mu = 4.00.

  • Alternative Hypothesis (HaH_a): The population mean length of the bolts is not equal to 4.00 cm. This indicates a two-tailed test. Mathematically, this is represented as Ha:μ4.00H_a: \mu \neq 4.00.

These hypotheses will help you determine if there is significant evidence to suggest that the mean length of the bolts differs from 4.00 cm, indicating a need for recalibration.

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Math Problem Analysis

Mathematical Concepts

Hypothesis Testing
Two-Tailed Tests
Significance Levels

Formulas

Null Hypothesis: H₀: μ = μ₀
Alternative Hypothesis: Hₐ: μ ≠ μ₀

Theorems

Central Limit Theorem
Z-Test for Population Mean

Suitable Grade Level

Grades 10-12 or introductory college statistics