A binomial random variable is one based on a given number of specified
outcomes from a given number of trials.
- The choice that is a binomial random variable is Choice B; <u>Amelia rolls 5 fair dice. Let </u><u><em>D</em></u><u> equals the number of dice that show a value greater than 3</u>.
Reasons:
A binomial random variable is the variable that represents the number of
times a specified event occurs in a given number of trials.
From the above definition of the binomial random variable, we have;
The binomial random variable is the option;
<u>Choice B Amelia rolls 5 fair dice. Let </u><u><em>D</em></u><u> equals the number of dice that show </u>
<u>a value greater than 3</u>, because, of the following;
- The number of trials are specified as 5
- The variable which is the event that is being observed, is specified as the number of times when the dice show values greater than 3.
<em>Choice A is a geometric random variable</em>
<em>Choice C is a random variable</em>
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Answer:
Areas with high population density in the daytime tend to have more public service facilities. The higher the day-time population density, the more likely public service facilities are to aggregate
Explanation:
pls mark brainliist
Although America fought in many wars since, World War 2 was the last time the nation declared war (actually against two nations at the time). One declaration of war with Japan, and one declaration of war with Germany. I hope this helped !!
Answer:
Marginal analysis is helpful to individuals and businesses in balancing the costs and benefits of additional actions, like whether to produce more, consume more, and similar other decisions, thus determining whether the benefits will exceed costs and increase utility.