## What is the relationship between variable X and variable Y Brainly?

Answer Expert Verified The relationship between thow variables x and y is also referred to as correlation. It is a measure that measures the strengthbof linear relationship between two variables.

## What is the relation between the variables in the equation a LW?

The relation between the variables in the equation A=lw is; A varies jointly as lw. Explanation: Variation problems states that involves a simple relationships or formulas, involving one variable being equal to one term.

## What is the probability that the spinner will land on a red section of the circle?

It would be letter A – 1/5. Since there’s only one red section in the circle and there is a total of five colors all in all, then the probability of a spinner landing on the red section is one out of five colors.

3 in 6

## How do you solve binomial probability?

Binomial probability refers to the probability of exactly x successes on n repeated trials in an experiment which has two possible outcomes (commonly called a binomial experiment). If the probability of success on an individual trial is p , then the binomial probability is nCx⋅px⋅(1−p)n−x .

## How do you calculate at least probability?

To find the probability of at least one of something, calculate the probability of none and then subtract that result from 1. That is, P(at least one) = 1 – P(none).

## What does at least means in probability?

At least also means “less than or equal to”. Therefore, in probability, at least mean the minimum value that should occur once a random event happens.

a 96% chance

## Which of the following random variables would be considered continuous?

Another example is the height of your fellow students in your classroom. The values could be anywhere from, say, 4.5 feet to 7.2 feet. In general, quantities such as pressure, height, mass, weight, density, volume, temperature, and distance are examples of continuous random variables.

## How do you solve a binomial random variable?

For a variable to be a binomial random variable, ALL of the following conditions must be met:

1. There are a fixed number of trials (a fixed sample size).
2. On each trial, the event of interest either occurs or does not.
3. The probability of occurrence (or not) is the same on each trial.
4. Trials are independent of one another.

## What does C stand for in binomial probability?

b(x; n, p): Binomial probability – the probability that an n-trial binomial experiment results in exactly x successes, when the probability of success on an individual trial is p. n. Cr: The number of combinations of n things, taken r at a time.

## What is the formula for calculating the mean of a binomial random variable?

A binomial random variable is the number of successes x in n repeated trials of a binomial experiment. The mean of the distribution (μx) is equal to n * P . The variance (σ2x) is n * P * ( 1 – P ).

## What are the possible values of a binomial random variable?

It can be as low as 0, if all the trials end up in failure, or as high as n, if all n trials end in success. The random variable X that represents the number of successes in those n trials is called a binomial random variable, and is determined by the values of n and p. We say, “X is binomial with n = … and p = …”

## What are the characteristics of a binomial random variable?

1: The number of observations n is fixed. 2: Each observation is independent. 3: Each observation represents one of two outcomes (“success” or “failure”). 4: The probability of “success” p is the same for each outcome.

## How do you find the mean of a random variable?

square each value and multiply by its probability. sum them up and we get Σx2p. then subtract the square of the Expected Value μ

## What is continuous random variables?

A continuous random variable is a random variable where the data can take infinitely many values. For example, a random variable measuring the time taken for something to be done is continuous since there are an infinite number of possible times that can be taken.

## What is a random variable in statistics?

A random variable is a numerical description of the outcome of a statistical experiment. For a discrete random variable, x, the probability distribution is defined by a probability mass function, denoted by f(x). This function provides the probability for each value of the random variable.

## What is expected value of a random variable?

The expected value is simply a way to describe the average of a discrete set of variables based on their associated probabilities. This is also known as a probability-weighted average. For this example, it would be estimated that you would work out 2.1 times in a week, 21 times in 10 weeks, 210 times in 100 weeks, etc.

## What is the difference between mean and expected value?

There’s no difference. They are two names for the same thing. They tend to be used in different contexts, though. You talk about the expected value of a random variable and the mean of a sample, population or probability distribution.

## What is the expected value of a random variable quizlet?

The expected value of a random variable is its theoretical long run average value, the center of its model. Denoted μ or E(X), it is found (if the random variable is discrete) by summing the products of variable values and probabilities. μ = E(X) = Σx*P(x).