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Statistical Distributions and Sampling Characteristics Quiz

#1

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

Binomial distribution
Explanation

Model for successes in fixed independent trials.

#2

What is the mean of a standard normal distribution?

0
Explanation

Mean value of standard normal distribution.

#3

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

α
Explanation

Significance level notation in testing.

#4

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

Cluster sampling
Explanation

Sampling method for large, spread populations.

#5

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

Poisson distribution
Explanation

Model for count data in fixed interval.

#6

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

It implies that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases.
Explanation

CLT's effect on sampling distribution.

#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.
Explanation

Different population division methods.

#8

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

∑(x - μ)^2 * P(x)
Explanation

Variance formula for discrete distribution.

#9

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

It is negatively skewed.
Explanation

Standard normal distribution property.

#10

What does the p-value represent in hypothesis testing?

The probability of observing the test statistic or more extreme results, given that the null hypothesis is true
Explanation

Probability under null hypothesis.

#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?

Exponential distribution
Explanation

Model for time until event at constant rate.

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