Use z scores to compare the given values. Based on sample data, newborn males have weights with a mean of 3209.4 g and a standard deviation of 744.8 g. Newborn females have weights with a mean of 3023.6 g and a standard deviation of 566.1 g. Who has the weight that is more extreme relative to the group from which they came: a male who weighs 1600 g or a female who weighs 1600 g? Since the z score for the male is z = (Round to two decimal places.) and the z score for the female is z= the has the weight that is more extreme. female male

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 3GP
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Question 16
### Using Z Scores to Compare Newborn Weights

We are comparing newborn weights using Z scores to determine which case is more extreme relative to their group distribution.

#### Given Data:
- **Newborn Males:**
  - Mean weight: 3209.4 g
  - Standard deviation: 744.8 g
- **Newborn Females:**
  - Mean weight: 3023.6 g
  - Standard deviation: 566.1 g

#### Question:
Who has the more extreme weight relative to their gender group?
- A male weighing 1600 g
- A female weighing 1600 g

#### Calculation:
To find out which newborn weight is more extreme, calculate the Z score for each case.

1. **Calculate the Z score:**
   \[
   Z = \frac{(X - \mu)}{\sigma}
   \]
   Where \(X\) is the individual weight, \(\mu\) is the mean weight, and \(\sigma\) is the standard deviation.

2. **For the Male:**
   - \(X = 1600\)
   - \(\mu = 3209.4\)
   - \(\sigma = 744.8\)

3. **For the Female:**
   - \(X = 1600\)
   - \(\mu = 3023.6\)
   - \(\sigma = 566.1\)

#### Determine Extremity:
By comparing the absolute values of the Z scores, identify which weight is more extreme. The dropdown suggests choosing between "female" and "male" based on the calculated Z scores.

**Instructions to Calculate:**
Enter the Z scores to two decimal places and determine which gender's case has the more extreme Z score.

**Conclusion:**
Use these Z score calculations to conclude which newborn weight is more extreme relative to the average weights in their respective gender group.
Transcribed Image Text:### Using Z Scores to Compare Newborn Weights We are comparing newborn weights using Z scores to determine which case is more extreme relative to their group distribution. #### Given Data: - **Newborn Males:** - Mean weight: 3209.4 g - Standard deviation: 744.8 g - **Newborn Females:** - Mean weight: 3023.6 g - Standard deviation: 566.1 g #### Question: Who has the more extreme weight relative to their gender group? - A male weighing 1600 g - A female weighing 1600 g #### Calculation: To find out which newborn weight is more extreme, calculate the Z score for each case. 1. **Calculate the Z score:** \[ Z = \frac{(X - \mu)}{\sigma} \] Where \(X\) is the individual weight, \(\mu\) is the mean weight, and \(\sigma\) is the standard deviation. 2. **For the Male:** - \(X = 1600\) - \(\mu = 3209.4\) - \(\sigma = 744.8\) 3. **For the Female:** - \(X = 1600\) - \(\mu = 3023.6\) - \(\sigma = 566.1\) #### Determine Extremity: By comparing the absolute values of the Z scores, identify which weight is more extreme. The dropdown suggests choosing between "female" and "male" based on the calculated Z scores. **Instructions to Calculate:** Enter the Z scores to two decimal places and determine which gender's case has the more extreme Z score. **Conclusion:** Use these Z score calculations to conclude which newborn weight is more extreme relative to the average weights in their respective gender group.
Expert Solution
Step 1

The mean for males is 3209.4 and standard deviation is 744.8, the mean for females is 3023.6 and standard deviation is 566.1.

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