An electrician wants to know whether batteries made by two manufacturers have significantly different voltages. The voltage of 128 batteries from each manufacturer were measured. The population standard deviations of the voltage for each manufacturer are known. The results are summarized in the following table. Manufacturer Sample mean voltage (millivolts) Population standard deviat 112 5 B 111 3 What type of hypothesis test should be performed? (Select What ie the tect ctatictio Ev: 0 12

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**Hypothesis Test for the Difference Between Two Population Means**

An electrician aims to determine if batteries manufactured by two different companies have significantly different voltages. The voltage of 128 batteries from each manufacturer was measured, and the population standard deviations are known. The results are provided in the table below:

| Manufacturer | Sample Mean Voltage (millivolts) | Population Standard Deviation |
|--------------|----------------------------------|-------------------------------|
| A            | 112                              | 5                             |
| B            | 111                              | 3                             |

**Tasks:**

1. **Select the Type of Hypothesis Test:**  
   Determine what type of hypothesis test should be performed.

2. **Calculate the Test Statistic:**  
   Identify the test statistic for this comparison.

3. **Assess Evidence at Significance Level:**  
   Decide whether there is sufficient evidence to support the claim that the voltage of the batteries made by the two manufacturers is different at the α = 0.1 significance level.

This exercise helps students understand the application of hypothesis testing in evaluating differences between two population means, particularly when the population standard deviations are known.
Transcribed Image Text:**Hypothesis Test for the Difference Between Two Population Means** An electrician aims to determine if batteries manufactured by two different companies have significantly different voltages. The voltage of 128 batteries from each manufacturer was measured, and the population standard deviations are known. The results are provided in the table below: | Manufacturer | Sample Mean Voltage (millivolts) | Population Standard Deviation | |--------------|----------------------------------|-------------------------------| | A | 112 | 5 | | B | 111 | 3 | **Tasks:** 1. **Select the Type of Hypothesis Test:** Determine what type of hypothesis test should be performed. 2. **Calculate the Test Statistic:** Identify the test statistic for this comparison. 3. **Assess Evidence at Significance Level:** Decide whether there is sufficient evidence to support the claim that the voltage of the batteries made by the two manufacturers is different at the α = 0.1 significance level. This exercise helps students understand the application of hypothesis testing in evaluating differences between two population means, particularly when the population standard deviations are known.
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