15 Questions
What is the probability of failure in any trial if the probability of success is 'p'?
1 - p
How is the probability of 𝑥 successes and (𝑛 − 𝑥) failures in 𝑛 independent trials calculated?
By multiplying the probabilities of success and failure for each trial
How many ways can 𝑥 successes in 𝑛 trials occur?
5
What does the symbol '𝑞' represent in the context of binomial distribution?
Probability of failure
What is the probability for each of the 𝑥 ways of 𝑥 successes in 𝑛 trials?
𝑝 * 𝑞
What is the definition of correlation in a bivariate distribution?
If the change in one variable affects a change in the other variable
In what scenario is correlation said to be direct or positive?
If the two variables deviate in the same direction
When is correlation said to be diverse or negative?
If the two variables constantly deviate in opposite directions
What is the simplest way of representing the correlation between two variables?
Scatter diagram
In a scatter diagram, what does a positive correlation between two variables indicate?
A direct relationship where an increase in one variable corresponds to an increase in the other
What is the definition of direct or positive correlation?
The variables deviate in the same direction
What is the definition of diverse or negative correlation?
The variables constantly deviate in opposite directions
What does a positive correlation indicate?
Direct relationship between the variables
What does a negative correlation indicate?
Inverse relationship between the variables
In which scenario is there a negative correlation?
Price and demand of a commodity
Study Notes
Binomial Distribution
- The probability of failure in any trial is 'q' or 1 - p, where 'p' is the probability of success.
- The probability of x successes and (n - x) failures in n independent trials is calculated as: (nCx) * p^x * q^(n-x), where nCx is the number of ways x successes can occur in n trials.
- There are nCx ways to arrange x successes in n trials, where nCx is the number of combinations of n items taken x at a time.
- The symbol 'q' represents the probability of failure in a binomial distribution.
Correlation
- Correlation is a measure of the strength and direction of the linear relationship between two variables in a bivariate distribution.
- Correlation is said to be direct or positive when the variables tend to increase or decrease together.
- Correlation is said to be diverse or negative when one variable tends to increase while the other decreases.
- The simplest way to represent the correlation between two variables is through a scatter diagram.
- A positive correlation between two variables in a scatter diagram indicates that as one variable increases, the other tends to increase as well.
- Direct or positive correlation occurs when the variables tend to increase or decrease together.
- Diverse or negative correlation occurs when one variable tends to increase while the other decreases.
- A positive correlation indicates that as one variable increases, the other tends to increase as well.
- A negative correlation indicates that as one variable increases, the other tends to decrease.
- There is a negative correlation when one variable tends to increase while the other decreases.
Test your knowledge of the binomial distribution with this quiz. Explore the concept of independent trials, probability of success and failure, and the key characteristics of the binomial distribution.
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