Question
A. Why do we sample? B. What is inference? C. Because the sample is just a portion of the population, the sample ________ (will or
A. Why do we sample?
B. What is inference?
C. Because the sample is just a portion of the population, the sample ________ (will or won't- choose one) be exactly the same as the population.
D. Variation due to sampling is called _____________, and even perfectly random samples are subject to this.
E. A _______ is the best way to give an estimate of the population, not one single value.
F. For a population average (ex. Average of all apples in the orchard), what is used as the best estimate of the population average?
G. We use a confidence interval to express _______________.
H. The width of the confidence intervals depends on 2 things. What are they?
I. If you have high variation in your population, we would be _______ sure (more or less - choose one) that the sample mean was close to the population mean.
J. Greater variation within a population leads to a _______ (wider, narrower - choose one) confidence interval.
K. Which size sample is a better estimate of the population?
L. Small samples lead to ____ confidence intervals (widerarrower - choose one).
M. What happens to the effect of sampling error with larger samples?
N. Are perfectly random samples subject to sampling error?
O. Which one matters more: sample size or population size?
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