Statistical Distributions

Statistical Distributions can be defined as mathematical models that depict the likelihood of possible results in a particular experiment or process. They are a fundamental aspect of statistics, providing insight into the variation in data. Recognizable examples encompass Normal, Binomial, Poisson, and Uniform distributions, each offering unique perspectives on probability and data spread.

Describing Distribution's Two Properties

Suppose that a company's monthly sales follow a normal distribution. The mean of this distribution is \(\$50000\) and the standard deviation is \(\$5000\). What are the two properties of this distribution?

Finding the Expectation

A fair die is rolled. What is the expected value of the number that shows up?

Finding the Standard Deviation

Given a dataset of {3, 5, 2, 8, 9}, calculate the standard deviation.

Finding the Variance

A die is rolled 60 times. What is the variance of the number of times 3 is rolled?

Finding a z-Score for a Normal Distribution

In a normal distribution, the mean (\(\mu\)) is 12 and the standard deviation (\(\sigma\)) is 2. Find the z-score for x = 15.

Approximating Using Normal Distribution

In a university, the scores of a math final exam are normally distributed with a mean of 70 and a standard deviation of 10. What is the probability that a randomly selected student scored more than 85?

Finding the Probability of a Binomial Distribution

A multiple choice exam has 10 questions. Each question has 4 possible answers, of which only 1 is correct. If a student guesses on each question, what is the probability that the student will get exactly 6 questions correct?

Finding the Probability of the Binomial Event

A multiple choice exam has 10 questions. Each question has four possible answers, of which only one is correct. If a student guesses all the answers, what is the probability that the student will answer exactly 6 questions correctly?

Finding the Mean

Consider a random variable X that follows a binomial distribution with parameters n = 10 and p = 0.5. What is the mean of this distribution?