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A. A sampling distribution is a distribution of all parameter values from a given sample.

B. A sampling distribution is a distribution of all values from a given population.

C. A sampling distribution is a distribution of all values of a sample from a given population.

D. A sampling distribution is the distribution of values of a statistics for all possible samples of a given size from the same population.

A. 0.5

B. 30

C. 0.1

D. 1

A. mean, 10

B. mean, 30

C. proportion, 10

D. proportion, 30

A. Biased

B. Variable

C. Unbiased

D. Quantitative

A. p

B. μ

C. σ

D. np

A. Low variability

B. Highly biased sample

C. Sample done with blocking

D. Randomly selected sample

A. σ/sqrt(n)

B. σ/n

C. σ*n

D. 2nσ

A. mean, 10

B. mean, 30

C. proportion, 10

D. proportion, 30

A. 30

B. 800

C. 1800

D. 10

A. Shape/Approximately Normal

B. Unusual Features

C. Context

D. Spread

A. ρ

B. σ

C. μ

D. x-bar

A. Sample size of 100

B. Sample size of 10

C. Sample size of 1

D. Sample size of 5

A. All US adults

B. 80 US adults aged 75+

C. All US adults aged 75+

D. All US citizens

A. Slightly skewed right

B. Strongly skewed right

C. Skewed left

D. Approximately normal

A. 0.2

B. 0.4

C. 0

D. 0.1

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👆Unit 1 – Exploring One-Variable Data

✌️Unit 2 – Exploring Two-Variable Data

🔎Unit 3 – Collecting Data

🎲Unit 4 – Probability, Random Variables, & Probability Distributions

📊Unit 5 – Sampling Distributions

⚖️Unit 6 – Proportions

😼Unit 7 – Means

✳️Unit 8 – Chi-Squares

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