Using your z-score tables, find the area under the curve to the right of z = -1.65.   Question 2 options:   P(z>-1.65) = 0.0495   P(z>-1.65) = 0.0606   P(z>-1.65) = 0.9394   P(z>-1.65) = 0.9505

MATLAB: An Introduction with Applications
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Using your z-score tables, find the area under the curve to the right of z = -1.65.

 

Question 2 options:

 

P(z>-1.65) = 0.0495

 

P(z>-1.65) = 0.0606

 

P(z>-1.65) = 0.9394

 

P(z>-1.65) = 0.9505

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### Educational Resource on PCBs and Confidence Intervals

**Topic**: Polychlorinated Biphenyls (PCBs) and Statistical Analysis

**Overview**:

Polychlorinated biphenyls (PCBs) are synthetic chemicals previously used in electrical equipment for insulation. They became a health concern and were banned in the 1970s due to their release into rivers and subsequent environmental impact.

**Scenario**:

To estimate the concentration of PCBs in a river, a study is conducted:

- **Sample Size**: 60 water samples
- **Sample Mean**: 1.96 parts per billion (ppb)
- **Population Standard Deviation**: 0.36 ppb

**Task**:

Construct a 95% confidence interval to estimate the true mean PCB concentration in the river.

**Options for Confidence Interval**:

1. \(1.948 < \mu < 1.972\)
2. \(1.869 < \mu < 2.051\)
3. \(0.269 < \mu < 0.451\)

The goal is to determine which interval correctly represents the 95% confidence interval for the true mean PCB concentration based on the given data.
Transcribed Image Text:### Educational Resource on PCBs and Confidence Intervals **Topic**: Polychlorinated Biphenyls (PCBs) and Statistical Analysis **Overview**: Polychlorinated biphenyls (PCBs) are synthetic chemicals previously used in electrical equipment for insulation. They became a health concern and were banned in the 1970s due to their release into rivers and subsequent environmental impact. **Scenario**: To estimate the concentration of PCBs in a river, a study is conducted: - **Sample Size**: 60 water samples - **Sample Mean**: 1.96 parts per billion (ppb) - **Population Standard Deviation**: 0.36 ppb **Task**: Construct a 95% confidence interval to estimate the true mean PCB concentration in the river. **Options for Confidence Interval**: 1. \(1.948 < \mu < 1.972\) 2. \(1.869 < \mu < 2.051\) 3. \(0.269 < \mu < 0.451\) The goal is to determine which interval correctly represents the 95% confidence interval for the true mean PCB concentration based on the given data.
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