Continuous and discrete variable & conditional probability

Using the table

Blood Alcohol Level of Victim
Age A0.00% B0.01-09% C¡Ý0.10%
D 0-19 142 7 6 155
E 20-39 47 8 41 96
F 40-59 29 8 77 114
G 60 or over 47 7 35 89
265 30 159 454
Calculate the conditional probability of C given each of the age groups, or P(C|D), P(C|E), etc. Compare these probabilities and speculate as to wish age groups seem more likely than others to have been (according to the legal definition at that time, 0.10% blood alcohol content) intoxicated at the time they were victims.

Indicate whether each of the following random variables is discrete or continuous.
a. The diameter of aluminum roads coming off production line.
b. The number of years of schooling employees have completed
c. The Dow Jones Industrial Average
d. The volume of milk purchased during a supermarket visit

Please choose the correct answer and write briefly why.
A property of continuous distributions is that:
a. As with discrete random variables, the probability distribution can be approximated by a smooth curve
b. Probabilities for continuousvariables can be approximated using discrete random variables
c. Unlike discret

Give an example representing a discreteprobability distribution and another example representing a continuousprobability distribution. Explain why your choices are discreteandcontinuous.
Please provide me an insightful analysis of the question is lengthy in response and include specific examples.

What is a probability distribution and its purpose?
Distinguish between discreteandcontinuousprobability distributions. Give an example of each.
What is randomness? Assume you have an Excel worksheet of the dimension, A1:E101. The first row contains data labels. How would you randomize the data file and to select a

What are the two basic laws of probability? What are the differences between a discreteprobability distribution and a continuousprobability distribution? Provide at least one example of each type of probability distribution.
Answer

Which is the best and why?
A discrete random variable is:
A. outcomes over a continuous range of real numbers
B. a numerical description of the outcome of an experiment
C. one for which the number of possible outcomes can be counted
D. one for which the number of possible outcomes can not be counted

Define probability distributions. Describe two common probability distributions.
Looking for a good original (yet cited) response to this definition. And if you can describe two common ones with an example for each that would be great.