Psychology students at a university completed the Dental Anxiety Scale questionnaire. Scores on the scale range from 0 (no anxiety) to 20 (extreme anxiety). The mean score was 12 and the standard deviation was 3.5. Assume that the distribution of all scores on the Dental Anxiety Scale is normal with u = 12 and o = 3.5. Complete parts a through c. Click here to view a table of areas under the standardized normal curve. a. Suppose you score a 19 on the Dental Anxiety Scale. Find the z-value for this score. z= 2 (Round to the nearest hundredth as needed.) b. Find the probability that someone scores between 11 and 16 on the Dental Anxiety Scale. P(11sxs 16) = 0.4859 (Round to four decimal places as needed.) c. Find the probability that someone scores above 17 on the Dental Anxiety Scale. P(x> 17) =O (Round to four decimal places as needed.)

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Find the probability that someone scores above 17 on the Dental Anxiety Scale.
 
​P(x>​17)=
​(Round to four decimal places as​ needed.)
### Dental Anxiety Scale Analysis

Psychology students at a university completed the Dental Anxiety Scale questionnaire. Scores on the scale range from 0 (no anxiety) to 20 (extreme anxiety). The mean score was 12 and the standard deviation was 3.5. Assume that the distribution of all scores on the Dental Anxiety Scale is normal with mean \(\mu = 12\) and standard deviation \(\sigma = 3.5\). Complete parts a through c.

<a> Click here to view a table of areas under the standardized normal curve. </a>

---

**a. Suppose you score a 19 on the Dental Anxiety Scale. Find the z-value for this score.**

\[ z = \frac{19 - 12}{3.5} = \frac{7}{3.5} = 2 \]

(Round to the nearest hundredth as needed.)

**b. Find the probability that someone scores between 11 and 16 on the Dental Anxiety Scale.**

\[ P(11 \leq x \leq 16) = 0.4859 \]

(Round to four decimal places as needed.)

**c. Find the probability that someone scores above 17 on the Dental Anxiety Scale.**

\[ P(x > 17) =  \]

(Round to four decimal places as needed.)

---

### Explanation of Concepts:

1. **Z-Value Calculation:**
   - The z-value is a measure of how many standard deviations an element is from the mean. It is calculated using the formula:
     \[
     z = \frac{X - \mu}{\sigma}
     \]
     where \( X \) is the value, \( \mu \) is the mean, and \( \sigma \) is the standard deviation.

2. **Probability Calculations:**
   - The probability of a score falling within a certain range (e.g., between 11 and 16) or above a certain threshold (e.g., above 17) can be determined using the standard normal distribution table or software tools that provide cumulative distribution functions for normal distributions.

3. **Normal Distribution:**
   - In a normal distribution, most values cluster around the mean. The standard deviation measures the spread of the data points. In this context, a score of 19 is relatively high, indicating a higher level of anxiety compared to the average student score, which is 12.
Transcribed Image Text:### Dental Anxiety Scale Analysis Psychology students at a university completed the Dental Anxiety Scale questionnaire. Scores on the scale range from 0 (no anxiety) to 20 (extreme anxiety). The mean score was 12 and the standard deviation was 3.5. Assume that the distribution of all scores on the Dental Anxiety Scale is normal with mean \(\mu = 12\) and standard deviation \(\sigma = 3.5\). Complete parts a through c. <a> Click here to view a table of areas under the standardized normal curve. </a> --- **a. Suppose you score a 19 on the Dental Anxiety Scale. Find the z-value for this score.** \[ z = \frac{19 - 12}{3.5} = \frac{7}{3.5} = 2 \] (Round to the nearest hundredth as needed.) **b. Find the probability that someone scores between 11 and 16 on the Dental Anxiety Scale.** \[ P(11 \leq x \leq 16) = 0.4859 \] (Round to four decimal places as needed.) **c. Find the probability that someone scores above 17 on the Dental Anxiety Scale.** \[ P(x > 17) = \] (Round to four decimal places as needed.) --- ### Explanation of Concepts: 1. **Z-Value Calculation:** - The z-value is a measure of how many standard deviations an element is from the mean. It is calculated using the formula: \[ z = \frac{X - \mu}{\sigma} \] where \( X \) is the value, \( \mu \) is the mean, and \( \sigma \) is the standard deviation. 2. **Probability Calculations:** - The probability of a score falling within a certain range (e.g., between 11 and 16) or above a certain threshold (e.g., above 17) can be determined using the standard normal distribution table or software tools that provide cumulative distribution functions for normal distributions. 3. **Normal Distribution:** - In a normal distribution, most values cluster around the mean. The standard deviation measures the spread of the data points. In this context, a score of 19 is relatively high, indicating a higher level of anxiety compared to the average student score, which is 12.
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