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
icon
Related questions
Question

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?

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: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.
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.
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.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman