## Week Four Quiz >>> Non probability sampling techniques such as convenience and quota sampling suffer from selection bias >>> Probability and Statistics: To p or not to p?

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Question 1

Non-probability sampling techniques, such as convenience and quota sampling, suffer from selection bias.

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### 2.

Question 2

Response bias is an example of:

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### 3.

Question 3

A sampling frame is required for:

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### 5.

Question 5

In stratified random sampling, elements between strata should be:

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### 4.

Question 4

In systematic sampling, the sampling interval, $i$, is:

n/N

**$/n$**

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### 6.

Question 6

A sampling distribution is the:

probability (frequency) distribution of a parameter

**probability (frequency) distribution of a statistic**

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### 7.

Question 7

An unbiased estimator has its expected value equal to the:

**parameter being estimated**

statistic used as the estimator

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### 8.

Question 8

An $x$% confidence interval covers the unknown parameter

**with $x$% probability over repeated samples**

with a probability of $x$%

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### 8.

Question 8

Confidence intervals convert:

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### 10.

Question 10

Other things equal, as the sample size $n$ increases the margin of error:

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### 2.

Question 2

Selection bias is an example of:

sampling error

**non-sampling error**

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### 3.

Question 3

In probability sampling:

**there is a known, non-zero probability of a population element being selected**

some population elements have a zero probability of being selected, while others have an unknown probability of being selected

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### 1.

Question 1

Quota sampling requires quota controls.

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### 6.

Question 6

We use a statistic (called an estimator) calculated from sample observations to provide a point estimate of a:

**parameter**

random variable

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### 9.

Question 9

Which of the following does **not** influence the size of the margin of error when considering the confidence interval for a population mean?

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### 10.

Question 10

Other things equal, as the confidence level increases the margin of error: