Compare and contrast discrete random variables and continuous random variables
What will be an ideal response?
A discrete random variable is one for which the number of possible outcomes can be counted. On the other hand, a continuous random variable has outcomes over one or more continuous intervals of real numbers. An example of a discrete random variable is the rolling of the six lottery balls while an example of a continuous random variable is the amount of money wagered on the rolling of those six lottery balls. It is possible to count and come up with a list of all possible outcomes of the rolling of the six lottery balls. However, the amount wagered is open to any amount greater than or equal to $0.
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The following headings for two reports are not parallel and will not be effective points in a basic outline. Rewrite the headings to make them parallel talking heads. Then, develop a basic outline with a heading for each factor based on the revised talking heads. ? Report 1: Organize Your Finances; Budget; Insurance is Important; You Need a Will; Emergency Savings is Necessary Report 2: Healthy Food is Good for You; Get Regular Exercise; Stress Reduction
What will be an ideal response?
Which of the following retail growth strategies has the greatest chance for succeeding?
A. Retail format development growth opportunity B. Unrelated diversification growth opportunity C. Market expansion growth opportunity D. Related diversification growth opportunity E. Market penetration growth opportunity
An example of syndicated data is Marketing Evaluations Inc.'s Q Scores® services
Indicate whether the statement is true or false
Relevance is a quality requiring that the information be timely and that it also have predictive value or feedback value or both
Indicate whether the statement is true or false