Find the indicated z-scores shown in the graph. Click to view page 1 of the Standard Normal Table. Click to view page 2 of the Standard Normal Table. F0 06 05

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Find the indicated​ z-scores shown in the graph.
Find the indicated z-scores shown in the graph.

Click to view page 1 of the Standard Normal Table.  
Click to view page 2 of the Standard Normal Table.

Image Description: A standard normal distribution curve is shown. The curve is centered at 0 on the x-axis. Two areas under the curve are marked on either side of the mean, each with a value of 0.4783. Corresponding z-scores on the x-axis are shown as "z=?" both to the left and right of the mean.

The z-scores are \(-0.05, 0.05\).  
(Use a comma to separate answers as needed. Round to two decimal places as needed.)
Transcribed Image Text:Find the indicated z-scores shown in the graph. Click to view page 1 of the Standard Normal Table. Click to view page 2 of the Standard Normal Table. Image Description: A standard normal distribution curve is shown. The curve is centered at 0 on the x-axis. Two areas under the curve are marked on either side of the mean, each with a value of 0.4783. Corresponding z-scores on the x-axis are shown as "z=?" both to the left and right of the mean. The z-scores are \(-0.05, 0.05\). (Use a comma to separate answers as needed. Round to two decimal places as needed.)
### Standard Normal Table Overview

A Standard Normal Table, also known as a Z-table, is a mathematical table that allows users to determine the probability that a statistic is observed below, above, or between values on the standard normal distribution.

#### Standard Normal Table (Page 1)

The Z-table on Page 1 displays cumulative probabilities for negative Z-scores. These scores reflect the area under the standard normal curve to the left of the specified value.

- **Columns**: Represent values in the second decimal place of the Z-score.
- **Rows**: Represent the first decimal place of the Z-score.

For example, to find the probability for a Z-score of -3.4 at 0.06, locate the row for -3.4 and intersect it with the column for 0.06, resulting in a probability of 0.0003.

#### Standard Normal Table (Page 2)

The Z-table on Page 2 shows cumulative probabilities for positive Z-scores.

- **Columns**: Represent values in the second decimal place of the Z-score.
- **Rows**: Represent the first decimal place of the Z-score.

For example, to find the probability for a Z-score of 0.9 at 0.04, locate the row for 0.9 and intersect it with the column for 0.04, resulting in a probability of 0.8159.

### Usage

These tables are critical for statistical calculations, allowing students and professionals to quickly find probabilities associated with a normal distribution, essential in hypothesis testing and confidence interval estimation.
Transcribed Image Text:### Standard Normal Table Overview A Standard Normal Table, also known as a Z-table, is a mathematical table that allows users to determine the probability that a statistic is observed below, above, or between values on the standard normal distribution. #### Standard Normal Table (Page 1) The Z-table on Page 1 displays cumulative probabilities for negative Z-scores. These scores reflect the area under the standard normal curve to the left of the specified value. - **Columns**: Represent values in the second decimal place of the Z-score. - **Rows**: Represent the first decimal place of the Z-score. For example, to find the probability for a Z-score of -3.4 at 0.06, locate the row for -3.4 and intersect it with the column for 0.06, resulting in a probability of 0.0003. #### Standard Normal Table (Page 2) The Z-table on Page 2 shows cumulative probabilities for positive Z-scores. - **Columns**: Represent values in the second decimal place of the Z-score. - **Rows**: Represent the first decimal place of the Z-score. For example, to find the probability for a Z-score of 0.9 at 0.04, locate the row for 0.9 and intersect it with the column for 0.04, resulting in a probability of 0.8159. ### Usage These tables are critical for statistical calculations, allowing students and professionals to quickly find probabilities associated with a normal distribution, essential in hypothesis testing and confidence interval estimation.
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