Answered

Welcome to Westonci.ca, the place where your questions are answered by a community of knowledgeable contributors. Experience the ease of finding reliable answers to your questions from a vast community of knowledgeable experts. Our platform provides a seamless experience for finding reliable answers from a network of experienced professionals.

You already learned the expression for calculating binomial probabilities:
[tex] { }_n C_k(p)^k(1-p)^{n-k} [/tex]

What does each variable represent?
- [tex] n [/tex] represents the [tex]$\square$[/tex]
- [tex] p [/tex] represents the [tex]$\square$[/tex]
- [tex] k [/tex] represents the [tex]$\square$[/tex]

Sagot :

GinnyAnswer
Sure, let's break down the expression for calculating binomial probabilities step-by-step:

The expression is:
[tex]\[ { }_n C_k \cdot (p)^k \cdot (1-p)^{n-k} \][/tex]

Here, each variable represents the following:

1. [tex]\( n \)[/tex] represents the number of trials. This is the total number of times an experiment or a process is conducted.

2. [tex]\( p \)[/tex] represents the probability of success on a single trial. This is the likelihood of achieving a successful outcome in each individual trial.

3. [tex]\( k \)[/tex] represents the number of successes. This is the count of successful outcomes that you are interested in observing within the [tex]\( n \)[/tex] trials.

So, to summarize:
- [tex]\( n \)[/tex] represents the number of trials.
- [tex]\( p \)[/tex] represents the probability of success on a single trial.
- [tex]\( k \)[/tex] represents the number of successes.
We appreciate your time on our site. Don't hesitate to return whenever you have more questions or need further clarification. We hope this was helpful. Please come back whenever you need more information or answers to your queries. Keep exploring Westonci.ca for more insightful answers to your questions. We're here to help.