If the average weight for cats is 12 pounds and the standard deviation is 2 pounds. 68 percent of all cats will have a weight between. pounds and pounds

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Chapter5: A Survey Of Other Common Functions
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### Question 30

**Prompt:**
If the average weight for cats is 12 pounds and the standard deviation is 2 pounds, 68 percent of all cats will have a weight between __________ pounds and __________ pounds.

**Explanation:**
To find the range that includes 68 percent of all cats' weights, you need to calculate one standard deviation above and below the mean. 

- The mean weight of the cats is 12 pounds.
- The standard deviation is 2 pounds.

68% of values in a normal distribution fall within one standard deviation of the mean.

1. Calculate the lower bound:
\[ \text{Lower bound} = \text{Mean} - \text{Standard Deviation} \]
\[ \text{Lower bound} = 12 \text{ pounds} - 2 \text{ pounds} \]
\[ \text{Lower bound} = 10 \text{ pounds} \]

2. Calculate the upper bound:
\[ \text{Upper bound} = \text{Mean} + \text{Standard Deviation} \]
\[ \text{Upper bound} = 12 \text{ pounds} + 2 \text{ pounds} \]
\[ \text{Upper bound} = 14 \text{ pounds} \]

Therefore, 68 percent of all cats will have a weight between 10 pounds and 14 pounds.

### Question 31

**Prompt:**
Thirteen percent of adults are left-handed. In a group of 30 adults, find the probability of finding at least one lefty.

1. **Option 1:**
   - No answer text provided.

2. **Option 2:**
   - No answer text provided.

3. **Option 3:**
   - 0.798

4. **Option 4:**
   - 0.069

**Explanation:**
To find the probability of at least one left-handed person in a group of 30 adults, we can use the complement rule. Firstly, determine the probability of not finding any left-handed individuals and then subtract this from 1.

- Probability of an adult being left-handed \(P(L) = 0.13\)
- Probability of an adult not being left-handed \(P(R) = 1 - P(L) = 1 - 0.13 = 0.87\)

The probability that all 30 adults are not left-handed:
\[ P(\text{all
Transcribed Image Text:### Question 30 **Prompt:** If the average weight for cats is 12 pounds and the standard deviation is 2 pounds, 68 percent of all cats will have a weight between __________ pounds and __________ pounds. **Explanation:** To find the range that includes 68 percent of all cats' weights, you need to calculate one standard deviation above and below the mean. - The mean weight of the cats is 12 pounds. - The standard deviation is 2 pounds. 68% of values in a normal distribution fall within one standard deviation of the mean. 1. Calculate the lower bound: \[ \text{Lower bound} = \text{Mean} - \text{Standard Deviation} \] \[ \text{Lower bound} = 12 \text{ pounds} - 2 \text{ pounds} \] \[ \text{Lower bound} = 10 \text{ pounds} \] 2. Calculate the upper bound: \[ \text{Upper bound} = \text{Mean} + \text{Standard Deviation} \] \[ \text{Upper bound} = 12 \text{ pounds} + 2 \text{ pounds} \] \[ \text{Upper bound} = 14 \text{ pounds} \] Therefore, 68 percent of all cats will have a weight between 10 pounds and 14 pounds. ### Question 31 **Prompt:** Thirteen percent of adults are left-handed. In a group of 30 adults, find the probability of finding at least one lefty. 1. **Option 1:** - No answer text provided. 2. **Option 2:** - No answer text provided. 3. **Option 3:** - 0.798 4. **Option 4:** - 0.069 **Explanation:** To find the probability of at least one left-handed person in a group of 30 adults, we can use the complement rule. Firstly, determine the probability of not finding any left-handed individuals and then subtract this from 1. - Probability of an adult being left-handed \(P(L) = 0.13\) - Probability of an adult not being left-handed \(P(R) = 1 - P(L) = 1 - 0.13 = 0.87\) The probability that all 30 adults are not left-handed: \[ P(\text{all
**Educational Content Transcription**

---

### Question 30
If the average weight for cats is 12 pounds and the standard deviation is 2 pounds, 68 percent of all cats will have a weight between _________ pounds and _________ pounds.

### Question 31
Thirteen percent of adults are left-handed. In a group of 30 adults, find the probability of finding at least one lefty.

- [ ] No answer text provided.
- [ ] No answer text provided.
- [ ] 0.798
- [ ] 0.069
- [ ] 0.973
- [ ] 0.985

---

**Explanation:**

#### Question 30
This question involves understanding the normal distribution. According to the empirical rule (68-95-99.7 rule), 68% of data within a normal distribution falls within one standard deviation of the mean. Here, the mean weight for cats is 12 pounds and the standard deviation is 2 pounds. Therefore, 68% of all cats will have a weight within one standard deviation of the mean, which means between:

\[ 12 - 2 \text{ pounds and } 12 + 2 \text{ pounds} \]
\[ 10 \text{ pounds and } 14 \text{ pounds} \]

So, the answer should be:
\[ 10 \text{ pounds and } 14 \text{ pounds} \]

#### Question 31
This question requires the use of binomial probability to find the likelihood of at least one event occurring. The percentage of left-handed adults is given as 13%. Given a group of 30 adults, the probability of finding at least one left-handed person can be calculated as follows:

First, calculate the probability of not finding a lefty:
\[ P(\text{not left-handed}) = 1 - P(\text{left-handed}) = 1 - 0.13 = 0.87 \]

Then, find the probability of not finding a left-handed person in 30 people:
\[ P(\text{no left-handed in 30}) = 0.87^{30} \]

Finally, the probability of finding at least one left-handed person is:
\[ P(\text{at least one}) = 1 - P(\text{no left-handed}) = 1 - 0.87^{30} \]

This simplifies to approximately:
\[ P(\text{at least
Transcribed Image Text:**Educational Content Transcription** --- ### Question 30 If the average weight for cats is 12 pounds and the standard deviation is 2 pounds, 68 percent of all cats will have a weight between _________ pounds and _________ pounds. ### Question 31 Thirteen percent of adults are left-handed. In a group of 30 adults, find the probability of finding at least one lefty. - [ ] No answer text provided. - [ ] No answer text provided. - [ ] 0.798 - [ ] 0.069 - [ ] 0.973 - [ ] 0.985 --- **Explanation:** #### Question 30 This question involves understanding the normal distribution. According to the empirical rule (68-95-99.7 rule), 68% of data within a normal distribution falls within one standard deviation of the mean. Here, the mean weight for cats is 12 pounds and the standard deviation is 2 pounds. Therefore, 68% of all cats will have a weight within one standard deviation of the mean, which means between: \[ 12 - 2 \text{ pounds and } 12 + 2 \text{ pounds} \] \[ 10 \text{ pounds and } 14 \text{ pounds} \] So, the answer should be: \[ 10 \text{ pounds and } 14 \text{ pounds} \] #### Question 31 This question requires the use of binomial probability to find the likelihood of at least one event occurring. The percentage of left-handed adults is given as 13%. Given a group of 30 adults, the probability of finding at least one left-handed person can be calculated as follows: First, calculate the probability of not finding a lefty: \[ P(\text{not left-handed}) = 1 - P(\text{left-handed}) = 1 - 0.13 = 0.87 \] Then, find the probability of not finding a left-handed person in 30 people: \[ P(\text{no left-handed in 30}) = 0.87^{30} \] Finally, the probability of finding at least one left-handed person is: \[ P(\text{at least one}) = 1 - P(\text{no left-handed}) = 1 - 0.87^{30} \] This simplifies to approximately: \[ P(\text{at least
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