Statistical Distributions and Sampling Characteristics Quiz

Test your knowledge on probability distributions, CLT, sampling methods, and more. 11 questions to sharpen your stats skills!

#1

Which distribution is commonly used to model the number of successes in a fixed number of independent Bernoulli trials?

Normal distribution
Poisson distribution
Binomial distribution
Exponential distribution
#2

What is the mean of a standard normal distribution?

0
1
π
2
#3

In hypothesis testing, what is the significance level typically denoted by?

β
α
γ
δ
#4

Which sampling method is often used when the population is large and spread out over a wide geographic area?

Simple random sampling
Stratified sampling
Cluster sampling
Convenience sampling
#5

Which distribution is used to model count data or the number of events occurring in a fixed interval of time or space?

Exponential distribution
Poisson distribution
Binomial distribution
Normal distribution
#6

Which of the following statements about the Central Limit Theorem (CLT) is true?

It states that as sample size increases, the population distribution becomes less normal.
It is only applicable to normal distributions.
It implies that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases.
It applies only to binomial distributions.
#7

What is the main difference between stratified sampling and cluster sampling?

In stratified sampling, the population is divided into clusters, while in cluster sampling, the population is divided into strata.
In stratified sampling, all clusters are included in the sample, while in cluster sampling, only some clusters are selected for the sample.
In stratified sampling, elements are randomly selected from each stratum, while in cluster sampling, all elements are selected from each cluster.
There is no difference between stratified sampling and cluster sampling.
#8

What is the formula for calculating the variance of a discrete probability distribution?

∑(x - μ)^2 * P(x)
∑(x - μ) * P(x)
∑(x - μ)^2
∑(x - μ)
#9

Which of the following is NOT a property of the standard normal distribution?

It is symmetric around the mean.
It has a mean of 0.
It has a variance of 1.
It is negatively skewed.
#10

What does the p-value represent in hypothesis testing?

The probability of making a Type II error
The probability of making a Type I error
The probability of observing the test statistic or more extreme results, given that the null hypothesis is true
The probability of rejecting the null hypothesis when it is actually true
#11

Which distribution can be used to model the time until an event occurs, given that the event occurs at a constant average rate and events are independent of each other?

Normal distribution
Poisson distribution
Exponential distribution
Binomial distribution

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