a=0.01, z=2.79, h a: u1>u2 What is the critical Z Value? What is the decision making for this hypothesis test?   A is the positive critical value for this question, what is/are the possible critical region(s) for this hypothesis test?

MATLAB: An Introduction with Applications
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a=0.01, z=2.79, h a: u1>u2

What is the critical Z Value?

What is the decision making for this hypothesis test?

 

A is the positive critical value for this question, what is/are the possible critical region(s) for this hypothesis test?

 
The image depicts a normal distribution curve, also known as a bell curve, which represents a probability distribution with a symmetric shape. This particular curve is centered at 0, indicating that it is a standard normal distribution.

### Explanation of the Graph:

- **Horizontal Axis**: The x-axis represents the values of the variable being measured. Key points are labeled as -A, 0, and A, indicating that the distribution is symmetric about the center.
  
- **Vertical Axis**: The y-axis represents the probability density, showing how likely different outcomes are.

- **Curve**: The bell-shaped curve is symmetric around the vertical line at 0, meaning the mean, median, and mode of the distribution are all equal and located at 0.

- **Points -A and A**: These points are equidistant from the center and represent values along the x-axis that are symmetric relative to the mean. The area under the curve between -A and A represents a significant portion of the distribution's probability.

This visual is commonly used in statistics and probability to illustrate distributions of data, particularly when discussing concepts such as the standard deviation, mean, and the empirical rule (68-95-99.7 rule).
Transcribed Image Text:The image depicts a normal distribution curve, also known as a bell curve, which represents a probability distribution with a symmetric shape. This particular curve is centered at 0, indicating that it is a standard normal distribution. ### Explanation of the Graph: - **Horizontal Axis**: The x-axis represents the values of the variable being measured. Key points are labeled as -A, 0, and A, indicating that the distribution is symmetric about the center. - **Vertical Axis**: The y-axis represents the probability density, showing how likely different outcomes are. - **Curve**: The bell-shaped curve is symmetric around the vertical line at 0, meaning the mean, median, and mode of the distribution are all equal and located at 0. - **Points -A and A**: These points are equidistant from the center and represent values along the x-axis that are symmetric relative to the mean. The area under the curve between -A and A represents a significant portion of the distribution's probability. This visual is commonly used in statistics and probability to illustrate distributions of data, particularly when discussing concepts such as the standard deviation, mean, and the empirical rule (68-95-99.7 rule).
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