# Probability and Statistics

1. Oct 19, 2007

### Analysis

Sir

Kindly arrange to provide the detailed notes for the following questions.

1. When is it appropriate to use the uniform distribution to describe a random variable X?

2. Why do we compute values when using the normal table? Explain.

3. Explain the meaning of the height of a probability curve over a given point.

4. Explain:
a. what the mean , tells us about a normal curve.
b. what the standard deviation σ, tells us about a normal curve.

5. Explain how to compute Z value corresponding to a value of normality distributed random variable. What does the Z value tell us about the value of the random variable.

Your earliest reply in this regard will be much more appreciated and also useful for me class tutorials.

2. Oct 19, 2007

### EnumaElish

Is this homework?

3. Oct 19, 2007

### ZioX

It sounds like prepatory questions for a tutorial.

4. Oct 19, 2007

### EnumaElish

When all outcomes have equal probability (in the discrete case).

I do not understand the question.

For a discrete r.v., it is the probability of that outcome. For a continuous r.v., it is the change in probability when that point is included in the outcome set.

Location parameter.

Dispersion parameter.

z = (x - mean)/σ is the value which a standard normal variable has the same probability of being greater (or less) than, as the original normal variable than the x value.

5. Oct 22, 2007