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Name: Serenity Witten
October 1, 2010
Friday T.A. name/Class time:
Xiang Han
Monday/Wednesday lecturer:
Ellen Gundlach
Lab 5:
Chapter 6
READ THIS:
In the material for the first exam, especially Sections 3.3 and 5.2, you
learned about the difference between a population and a sample.
There is a parameter for
the whole population (for example the average age for all U.S. residents), but it would be
too difficult, timeconsuming, and expensive for us to get the number directly through a
census.
Instead, we usually choose to take a random sample and calculate a statistic as an
estimate for the population parameter.
However, we also know that every time we take a
random sample from the population, we will get a different sample statistic simply due to
random variability.
When we use a statistical technique called inference, we are taking
into account random variability when we estimate the population parameter from the
sample statistic.
Confidence intervals and hypothesis testing are types of inference.
1.
(3 points)
Using the diagram below, fill in the blanks with these terms:
inference
,
sampling
,
μ
,
σ
,
s
,
x
.
Confidence Intervals
Using Internet Explorer, go to the website for your textbook:
www.whfreeman.com/ips6e
.
Click on “statistical applets” and then on “confidence
interval.”
Read the explanation at the top of the webpage.
Use the 95% confidence level
until you are told to change.
2.
(0.5 points)
What does the
μ
stand for?
______the sample mean of a population
____
population
sample
μ
σ
sampling
inference
x
s
1
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View Full Document3.
(0.5 points)
When we calculate a confidence interval in reallife (nonapplet)
circumstances, do we know what
μ
is?
Circle your answer:
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 Spring '08
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