Question

You already learned the expression for calculating binomial probabilities: Subscript n Baseline C Subscript k Baseline (p) Superscript k Baseline (1 minus p) Superscript n minus k What does each variable represent? n represents the. P represents the. K represents the.

Answer 1

In the expression for calculating binomial probabilities, term n tells the number of trials, P tells the probability of success and K represents number of success desired.

What is binomial probabilities?

The binomial probabilities is the experimental probability in which the total number of output values is 2, therefore it is known as binomial probabilities.

The number of independence variable in case of binomial experiments is fixed.Both the two output has the 1/2 chances to occur.

The binomial probability distribution can be given as,

$P(x)=_{n}^{}\textrm{C}_kp^k(1-p)^{n-k}$

Here, (C) is the number of ways to choose and (x) is the number of success desired.

Other terms in the formula are,

• The subscript (n) is the total number of trial for the binomial probability.
• The term (p) is the probability of success.
• The term (k) represents the number of success desired.

Thus for the expression for calculating binomial probabilities the term n represents the number of trials, P represents the probability of success and K represents number of success desired.

Learn more about the binomial probability here;

brainly.com/question/24756209

Answer 2

Answer:

1st question

n represents the number of trials

p represents the probability of success

k represents the number of successes

2nd question

n= 10

p= 0.5

k= 5

Step-by-step explanation:

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