Use the normal distribution of SAT critical reading scores for which the mean is 502 and the standard deviation is 109. Assume the variable x is normally distributed. (a) What percent of the SAT verbal scores are less than 675? (b) If 1000 SAT verbal scores are randomly selected, about how many would you expect to be greater than 575 Click to view page 1 of the standard normal table. Click to view page 2 of the standard normal table. (a) Approximately % of the SAT verbal scores are less than 675. (Round to two decimal places as needed.) (b) You would expect that approximately whole number as needed.) SAT verbal scores would be greater than 575. (Round to the nearest

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**Understanding SAT Critical Reading Scores Using Normal Distribution**

When analyzing SAT critical reading scores, it's essential to understand how these scores are distributed. The normal distribution provides a framework for interpreting these scores. In this example, the mean SAT critical reading score is 502, with a standard deviation of 109. This guide assumes that the variable \( x \) is normally distributed.

**Key Questions Explored**

1. **Percent of Scores Less Than 675**
   - **Question (a):** What percent of the SAT verbal scores are less than 675?
   - **Instructions:** Use the standard normal distribution to find this percentage. 

2. **Number of Scores Greater Than 575**
   - **Question (b):** If 1000 SAT verbal scores are randomly selected, about how many would you expect to be greater than 575?
   - **Instructions:** Again, employ the standard normal distribution to determine this number.

To find these values, you'll need to reference the standard normal table, which provides the cumulative probabilities of a standard normal distribution.

**Useful Resources**
- Click here to view [page 1 of the standard normal table](#).
- Click here to view [page 2 of the standard normal table](#).

**Calculations**

- **(a) Calculation:**
  - To determine the percentage of SAT verbal scores less than 675, locate the corresponding z-score using the mean and standard deviation. Round your final answer to two decimal places.

- **(b) Calculation:**
  - For estimating the number of scores greater than 575 out of 1000, find the cumulative probability for a score less than 575 and subtract from 1 to get the probability for a score greater than 575. Multiply this probability by 1000. Round your answer to the nearest whole number.

**Interactive Answer Fields**
- (a) Approximately **[Fill in the blank] %** of the SAT verbal scores are less than 675. (Round to two decimal places as needed.)
- (b) You would expect that approximately **[Fill in the blank]** SAT verbal scores would be greater than 575. (Round to the nearest whole number as needed.)

Understanding these principles allows you to interpret and predict SAT scores using the properties of the normal distribution effectively.
Transcribed Image Text:**Understanding SAT Critical Reading Scores Using Normal Distribution** When analyzing SAT critical reading scores, it's essential to understand how these scores are distributed. The normal distribution provides a framework for interpreting these scores. In this example, the mean SAT critical reading score is 502, with a standard deviation of 109. This guide assumes that the variable \( x \) is normally distributed. **Key Questions Explored** 1. **Percent of Scores Less Than 675** - **Question (a):** What percent of the SAT verbal scores are less than 675? - **Instructions:** Use the standard normal distribution to find this percentage. 2. **Number of Scores Greater Than 575** - **Question (b):** If 1000 SAT verbal scores are randomly selected, about how many would you expect to be greater than 575? - **Instructions:** Again, employ the standard normal distribution to determine this number. To find these values, you'll need to reference the standard normal table, which provides the cumulative probabilities of a standard normal distribution. **Useful Resources** - Click here to view [page 1 of the standard normal table](#). - Click here to view [page 2 of the standard normal table](#). **Calculations** - **(a) Calculation:** - To determine the percentage of SAT verbal scores less than 675, locate the corresponding z-score using the mean and standard deviation. Round your final answer to two decimal places. - **(b) Calculation:** - For estimating the number of scores greater than 575 out of 1000, find the cumulative probability for a score less than 575 and subtract from 1 to get the probability for a score greater than 575. Multiply this probability by 1000. Round your answer to the nearest whole number. **Interactive Answer Fields** - (a) Approximately **[Fill in the blank] %** of the SAT verbal scores are less than 675. (Round to two decimal places as needed.) - (b) You would expect that approximately **[Fill in the blank]** SAT verbal scores would be greater than 575. (Round to the nearest whole number as needed.) Understanding these principles allows you to interpret and predict SAT scores using the properties of the normal distribution effectively.
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