For the standard normal distribution shown on the right, find the probability of z occurring in the indicated region. Click here to view page 1 of the standard normal table. Click here to view page 2 of the standard normal table. -1.21

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The images display standard normal distribution tables, which provide the area under the standard normal curve to the left of a given Z-score. These tables are used to find probabilities and percentile ranks in statistics.

### Page 1:
The table lists Z-scores ranging from -3.4 to 0.0. The top row denotes hundredths from .00 to .09, providing more precise values. Each cell within the table gives the cumulative probability to the left of a Z-score, calculated by adding the row and column values.

- **Example**: For Z = -1.0 and a column of .06, the value is .1587, indicating that 15.87% of data falls below this Z-score.

### Page 2:
This continuation table covers Z-scores from 0.0 to 3.4. It similarly uses the top row to provide decimal increments.

- **Example**: For Z = 2.0 and a column of .05, the value is .9798, signifying that 97.98% of data falls below this Z-score.

These tables are critical in statistical analyses for determining probability distributions, calculating confidence intervals, and hypothesis testing.
Transcribed Image Text:The images display standard normal distribution tables, which provide the area under the standard normal curve to the left of a given Z-score. These tables are used to find probabilities and percentile ranks in statistics. ### Page 1: The table lists Z-scores ranging from -3.4 to 0.0. The top row denotes hundredths from .00 to .09, providing more precise values. Each cell within the table gives the cumulative probability to the left of a Z-score, calculated by adding the row and column values. - **Example**: For Z = -1.0 and a column of .06, the value is .1587, indicating that 15.87% of data falls below this Z-score. ### Page 2: This continuation table covers Z-scores from 0.0 to 3.4. It similarly uses the top row to provide decimal increments. - **Example**: For Z = 2.0 and a column of .05, the value is .9798, signifying that 97.98% of data falls below this Z-score. These tables are critical in statistical analyses for determining probability distributions, calculating confidence intervals, and hypothesis testing.
For the standard normal distribution shown on the right, find the probability of z occurring in the indicated region.

- Click here to view page 1 of the standard normal table.
- Click here to view page 2 of the standard normal table.

The probability is [   ].  
(Round to four decimal places as needed.)

**Graph Explanation:**

On the right, there is a standard normal distribution curve, which is bell-shaped and symmetrical about the mean (z = 0). The region of interest is shaded in light blue and represents the area to the left of the z-score of -1.21. The area under the curve for this region corresponds to the probability of z occurring in this area of the distribution.
Transcribed Image Text:For the standard normal distribution shown on the right, find the probability of z occurring in the indicated region. - Click here to view page 1 of the standard normal table. - Click here to view page 2 of the standard normal table. The probability is [ ]. (Round to four decimal places as needed.) **Graph Explanation:** On the right, there is a standard normal distribution curve, which is bell-shaped and symmetrical about the mean (z = 0). The region of interest is shaded in light blue and represents the area to the left of the z-score of -1.21. The area under the curve for this region corresponds to the probability of z occurring in this area of the distribution.
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