Transcript 10.2

10.2: Estimating a Population
Mean (no  )
• You are estimating the standard deviation,
but there will likely be some error
involved because you are estimating it
from sample data.
• Resulting distribution = t distribution
• Specify a particular t distribution by
degrees of freedom
• Notation: t(k)
T distribution features
• Similar in shape to the
standard Normal curve
• The spread is a bit greater
than the standard Normal
curve
• As degrees of freedom (k)
increases, the t(k) density
curve approaches the
N(0,1) curve more closely
Got Milk?
A milk processor monitors the number of bacteria per
milliliter in raw milk received for processing. A
random sample of 10 one-milliliter specimens from
milk supplied by one producer gives the following
data:
5370 4890 5100 4500 5260 5150 4900 4760
4700 4870
Find a 90% CI for the mean number of bacteria per
milliliter in all the milk from this supplier.
When degrees of freedom are
hard to find
• When the actual df does
not appear in Table C, use
the greatest df available
that is less than your
desired df.
• Rounding down in Table
C will widen the interval
which will safely contain
the exact interval.
• Recall:
 Matched pairs are a form of block design in
which just two treatments are compared.
Subjects are matched in pairs and each
treatment is given to one subject in each pair
Alternatively, each subject receives both
treatments in some order.
• Comparative studies are more convincing than
single-sample investigations
Ex. 10.10, p. 651
• Our subjects are 11 people diagnosed as being
dependent on caffeine. Each subject was barred
from caffeine; instead, they took capsules
containing their normal caffeine intake. During a
different time period, they took placebo capsules.
The order in which subjects took caffeine and the
placebo was randomized.
• “Depression” is the score on the Beck Depression
Inventory. Higher scores = higher depression. We
are interested in whether or not caffeine
deprivation affects these outcomes.
• Construct a 90% confidence interval for the mean
change in depression score.
Subject
1
2
3
4
5
6
7
8
9
10
11
Depression Depression
(caffeine) (placebo)
5
5
4
3
8
5
0
0
2
11
1
16
23
5
7
14
24
6
3
15
12
0
• Matched pairs
problem (same
individual received
both treatments)
• Study looking to
provide evidence
that withholding
caffeine from
caffeine-dependent
individuals may
lead to depression
Random selection vs. Random
assignment
• Experiments are rarely done on randomly
selected subjects; the purpose is often to
compare 2 treatments rather than to
generalize to a larger population.
• Random selection = allows us to generalize
• Random assignment = allows us to
compare treatments
National Fuelsaver Corporation manufactures the
Platinum Gasaver, a device they claim “may
increase gas mileage by 22%.” Here are the
percent changes in gas mileage for 15 identical
vehicles, as presented in one of the company’s
advertisements:
48.3 46.9 46.8 44.6 40.2 38.5 34.6 33.7
28.7 28.7 24.8 10.8 10.4 6.9 12.4
1. Construct and interpret a 90% confidence
interval to estimate the mean fuel savings in the
population of all such vehicles. Follow the
Inference Toolbox.
2. Explain what “90% confidence” means in this
setting.
3. Comment on the manufacturer’s claim based on
your work in Question 1.