Step 1 A manufacturer of light bulbs finds that one light bulb model has a mean life span of 1026 h with a standard deviation of 86 h. Find the z-score for lightbulbs which last 910 h. (Round your answer to two decimal places.) 910 h: z = -1.35 -1.35 Step 2 The z-score for 910 h is -1.35. Using the answer from Step 1, what percent of these light bulbs will last at least 910 h? (Round your answer to one decimal place.) |× % Submit Skip (you cannot come back)

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The z-score for 910 h is -1.35.
Using the answer from Step 1, what percent of these light bulbs will last at least 910 h? (Round your answer to one decimal place.)

## Area Under Standard Normal Distribution

### Step 1

A manufacturer of light bulbs finds that one light bulb model has a mean life span of 1026 hours with a standard deviation of 86 hours.

Find the z-score for light bulbs which last 910 hours. (Round your answer to two decimal places.)

\[ 910 \, \text{h}: z = -1.35 \] ✅

### Step 2

The z-score for 910 hours is -1.35.

Using the answer from Step 1, what percent of these light bulbs will last at least 910 hours? (Round your answer to one decimal place.)

\[ \_\_\_\_ \, \% \] ❌

**Buttons:**

- **Submit**
- **Skip (you cannot come back)**

This exercise helps you learn how to calculate the z-score of a given lifespan and determine the percentage of values above a certain threshold using the z-score table.
Transcribed Image Text:## Area Under Standard Normal Distribution ### Step 1 A manufacturer of light bulbs finds that one light bulb model has a mean life span of 1026 hours with a standard deviation of 86 hours. Find the z-score for light bulbs which last 910 hours. (Round your answer to two decimal places.) \[ 910 \, \text{h}: z = -1.35 \] ✅ ### Step 2 The z-score for 910 hours is -1.35. Using the answer from Step 1, what percent of these light bulbs will last at least 910 hours? (Round your answer to one decimal place.) \[ \_\_\_\_ \, \% \] ❌ **Buttons:** - **Submit** - **Skip (you cannot come back)** This exercise helps you learn how to calculate the z-score of a given lifespan and determine the percentage of values above a certain threshold using the z-score table.
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