According to a study done by the pew Research Center, 36% of adult Americans believe that marriage is now obsolete. In a random sample of 500 adult Americans, what is the probability that more than 38% of them believe that marriage is now obsolete?
According to a study done by the pew Research Center, 36% of adult Americans believe that marriage is now obsolete. In a random sample of 500 adult Americans, what is the probability that more than 38% of them believe that marriage is now obsolete?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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According to a study done by the pew Research Center, 36% of adult Americans believe that marriage is now obsolete. In a random sample of 500 adult Americans, what is the

Transcribed Image Text:This image displays a Standard Normal Distribution table, which is used in statistics to find the probability that a statistic is observed below, above, or between a certain value.
### Understanding the Table
- **Columns and Rows:**
- The leftmost column contains the z-values ranging from -3.4 to 0.0, in increments of 0.1.
- The top row, excluding the label, shows the hundredths decimal (0.00 to 0.09) to be added to the z-value from the leftmost column.
- **Cell Values:**
- Each cell intersection contains the probability value corresponding to the cumulative probability of a standard normal distribution for the z-value.
- The value in each cell shows P(Z < z) for the specified z-value.
### Example Usage:
To find P(Z < -1.23):
1. Find -1.2 under the z-value column.
2. Move horizontally to the right to the column under 0.03.
3. Locate the value 0.1093, which is P(Z < -1.23).
This table is a key tool in mathematics for calculating probabilities associated with the standard normal distribution, often used in hypothesis testing and statistical inference.

Transcribed Image Text:The image depicts a section of the standard normal distribution table, which is used in statistics to find the probabilities related to the standard normal distribution (Z-distribution). This table provides cumulative probability (P) values for specific Z-scores. The table can be read as follows:
- The leftmost column lists the Z-score values ranging from 0.0 to 3.4 in increments of 0.1.
- The top row lists the decimal increments from 0.00 to 0.09.
To find the cumulative probability for a specific Z-score, you combine the row and column. For example:
- A Z-score of 1.3 with a further decimal of 0.04 (totalling 1.34) gives a cumulative probability of 0.9099.
The table is structured such that:
- Light and dark blue shading alternates row-wise, likely to help in guiding the eye across long rows.
- The values themselves represent cumulative probabilities from the mean of a standard normal distribution up to the given Z-score.
This type of table is commonly used in statistical calculations, particularly in hypothesis testing and confidence interval estimation.
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