Distribution

I need some serious explanation. I cannot even understand what to study for the frist 6 questions on the test about the formula I posted in this subject line.

The book I am using is Elementary Statistics by mario F. Triola. 8th edition.

Here is what I am to study:
Students will have 2 hours to answer 20 exam questions.
The examination covers textbook pages 226 through 472 (224
through 503), or Chapters 5, 6, 7 and 8.

First 6 questions are on the distribution, P(z <, = or > Z)
or Ch 5-1 through Ch5-6.

If you can explain how I should study for this, and what formula I should use and how to use it with the TI-83 calculator.
If you understand this, I will see if you can help me with the remaining of the study questions that follow:

Next 10 questions cover

* confidence level interval estimates (Ch 6) of the
population mean

* testing hypotheses (one-tailed and two-tailed tests) ch 7
for large samples > 30 (test statistic of z) and small
samples <30 (test statistic of t distribution)

Distribution

Suppose that we want to estimate the mean score on a nationwide examination in finance, and for this purpose we choose a random sample of exam scores. The sample we choose has a mean of and a standard deviation of . For each of the following sampling scenarios, determine which test statistic is appropriate to use when making inference statements about the population mean.
(In the table, refers to a variable having a standard normal distribution, and refers to a variable having a t distribution.)
sampling scenario

1. The same has size 13, and it is from a normally distributed population with unknown standard deviation.

a. Z
b. T
c. Could use either Z or T
d. Unclear

2. The sample has size 80, and it is from a non-normally distributed population.

a. Z
b. T
c. Could use either Z or T
d. Unclear

3. The sample has size 12, and it is from a normally distributed population with a known standard deviation of 75.

a. Z
b. T
c. Could use either Z or T
d. Unclear

4. The sample has size 17, and it is from a population with a distribution about which we know very little.

a. Z
b. T
c. Could use either Z or T
d. Unclear
5. The sample has size 90, and it is from a non-normally distributed population with a known standard deviation of 75.
a. Z
b. T
c. Could use either Z or T
d. Unclear

Distribution

Give an example representing a discrete probability distribution and a continuous probability distribution. Explain why your choice is discrete and continuous.

Carefully define a standard normal distribution. Why does a researcher want to go from a normal distribution to a standard normal distribution? Explain.

Distribution

How do I know which distribution to use for the following and when/where do tables apply?:

Nonstandard Normal
Binomial
Normal
Standard normal
Central limit theorem

a) Mean is 0, stand. dev. is 0 degrees C., find P between 0.05 and 1.50
b)Mean is 63.6 and s.d. is 2.5; Club had requirement that women must be 70 inches tall-what % meets that?
c)Find the P35 separating top 35 from bottom 65% with mean = 143 and sd. of 29
d) Mean = 143, sd = 13; if 1 woamn randomly selected, find P weight between 143 and 150
e) If 100 women randomly selected, find P they have a mean weight greater than 140 pounds.

Distribution

If there are repeated dependent trial, what distribution should be used?
a. binomial
b. multinomial
c. Poisson
d. hypergeometric

Distribution

Develop two examples of companies that are using other companies as distributors. What benefits are the original companies receiving in these two cases?