A data set lists weights (lb) of plastic discarded by households. The highest weight is 5.56 lb, the mean of all of the weights is x = 2.099 lb, and the standard deviation of the weights is s= 1.101 lb. a. What is the difference between the weight of 5.56 lb and the mean of the weights? b. How many standard deviations is that [the difference found in part (a)]? c. Convert the weight of 5.56 lb to a z score. d. If we consider weights that convert to z scores between 2 and 2 to be neither significantly low nor significantly high, is the weight of 5.56 lb significant? a. The difference is lb. (Type an integer or a decimal. Do not round.) b. The difference is standard deviations. (Round to two decimal places as needed.) c. The z score is z = (Round to two decimal places as needed.) d. The highest weight is

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**Analyzing a Data Set of Household Plastic Disposals**

A data set lists weights (lb) of plastic discarded by households. The highest weight recorded is 5.56 lb. The mean of all the weights is \( \bar{x} = 2.099 \, \text{lb} \) and the standard deviation of the weights is \( s = 1.101 \, \text{lb} \).

**Questions:**

**a.** What is the difference between the weight of 5.56 lb and the mean of the weights?

**b.** How many standard deviations is that [the difference found in part (a)]?

**c.** Convert the weight of 5.56 lb to a z score.

**d.** If we consider weights that convert to z scores between –2 and 2 to be neither significantly low nor significantly high, is the weight of 5.56 lb significant?

---

**Solutions:**

**a.** The difference is __________ lb.  
*(Type an integer or a decimal. Do not round.)*

**b.** The difference is __________ standard deviations.  
*(Round to two decimal places as needed.)*

**c.** The z score is \( z = \) __________.  
*(Round to two decimal places as needed.)*

**d.** The highest weight is [ ]  
*(Dropdown options for selection)*

---

**Explanation:**

To solve these questions, follow these steps:

1. **Calculate the difference between the highest weight and the mean:**
   \[
   \text{Difference} = 5.56 \, \text{lb} - 2.099 \, \text{lb}
   \]
   
2. **Determine how many standard deviations this difference represents:**
   \[
   \text{Standard deviations} = \frac{\text{Difference}}{s}
   \]

3. **Compute the z score for the weight of 5.56 lb:**
   \[
   z = \frac{5.56 \, \text{lb} - 2.099 \, \text{lb}}{1.101 \, \text{lb}}
   \]

4. **Evaluate the significance based on the z score:**
   - If the z score is between -2 and 2, the weight is not significantly different from the mean.
   - Otherwise, the weight is considered significant.
Transcribed Image Text:**Analyzing a Data Set of Household Plastic Disposals** A data set lists weights (lb) of plastic discarded by households. The highest weight recorded is 5.56 lb. The mean of all the weights is \( \bar{x} = 2.099 \, \text{lb} \) and the standard deviation of the weights is \( s = 1.101 \, \text{lb} \). **Questions:** **a.** What is the difference between the weight of 5.56 lb and the mean of the weights? **b.** How many standard deviations is that [the difference found in part (a)]? **c.** Convert the weight of 5.56 lb to a z score. **d.** If we consider weights that convert to z scores between –2 and 2 to be neither significantly low nor significantly high, is the weight of 5.56 lb significant? --- **Solutions:** **a.** The difference is __________ lb. *(Type an integer or a decimal. Do not round.)* **b.** The difference is __________ standard deviations. *(Round to two decimal places as needed.)* **c.** The z score is \( z = \) __________. *(Round to two decimal places as needed.)* **d.** The highest weight is [ ] *(Dropdown options for selection)* --- **Explanation:** To solve these questions, follow these steps: 1. **Calculate the difference between the highest weight and the mean:** \[ \text{Difference} = 5.56 \, \text{lb} - 2.099 \, \text{lb} \] 2. **Determine how many standard deviations this difference represents:** \[ \text{Standard deviations} = \frac{\text{Difference}}{s} \] 3. **Compute the z score for the weight of 5.56 lb:** \[ z = \frac{5.56 \, \text{lb} - 2.099 \, \text{lb}}{1.101 \, \text{lb}} \] 4. **Evaluate the significance based on the z score:** - If the z score is between -2 and 2, the weight is not significantly different from the mean. - Otherwise, the weight is considered significant.
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