SPA 3e_ Teachers Edition _ Ch 6
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434<br />
C H A P T E R 6 • Sampling Distributions<br />
Alternate Example<br />
Thick hair?<br />
Mean and standard deviation of the<br />
sampling distribution of x<br />
PROBLEM: Suppose that the true mean<br />
number of hair follicles on a human head<br />
is 100,000 with a standard deviation of<br />
40,000 follicles. The mean number of hair<br />
follicles on the heads of 20 randomly<br />
selected humans will be computed.<br />
(a) Calculate the mean and standard<br />
deviation of the sampling distribution of x.<br />
(b) Interpret the standard deviation<br />
from part (a).<br />
SOLUTION:<br />
(a) m x = 100,000 follicles and<br />
s x = 40,000 = 8944 follicles<br />
"20<br />
(b) In SRSs of size n 5 20, the sample<br />
mean number of hair follicles will typically<br />
vary by about 8944 follicles from the<br />
population mean of 100,000 follicles.<br />
Activity Overview<br />
Time: 15–18 minutes<br />
Materials: An Internet-connected device<br />
for each student or group of students<br />
Teaching Advice: This activity helps<br />
students understand the shape of the<br />
sampling distribution of x. Although<br />
the applet doesn’t have high-resolution<br />
graphics, it is an excellent visual display<br />
of key concepts in this lesson.<br />
If you don’t have enough devices,<br />
students can work in groups or you<br />
can demonstrate the applet to the<br />
entire class. Showing the applet as a<br />
demonstration also saves time, although<br />
it doesn’t engage students as much.<br />
Even if students are doing the activity<br />
individually, it is helpful to show them<br />
the layout of the applet and demonstrate<br />
taking a few samples. Point out that<br />
sample size is denoted with a capital N,<br />
instead of the usual lowercase n.<br />
This applet gives a visual of the<br />
population distribution (the top/first<br />
number line), the distribution of one<br />
sample (the second number line), and<br />
the sampling distribution (the third and<br />
fourth number lines). Point out these three<br />
distributions. Note that this activity doesn’t<br />
make use of the fourth number line.<br />
There are two mysterious values<br />
reported by the applet: skew and kurtosis.<br />
Neither is important for this course.<br />
a<br />
e XAMPLe<br />
Seen any good movies lately?<br />
Mean and standard deviation of the sampling distribution of x<br />
PROBLEM: The number of movies viewed in the last year by students at a large high school has<br />
a mean of 19.3 movies with a standard deviation of 15.8 movies. Suppose we take an SRS of 100<br />
students from this school and calculate the mean number of movies viewed by the members of<br />
the sample.<br />
(a) Calculate the mean and standard deviation of the sampling distribution of x.<br />
(b) Interpret the standard deviation from part (a).<br />
SOLUTION:<br />
(a) m x = 19.3 movies and s x = 15.8 = 1.58 movies<br />
"100<br />
(b) In SRSs of size n 5 100, the sample mean number of<br />
movies will typically vary by about 1.58 movies from<br />
the population mean of 19.3 movies.<br />
AcT iviT y<br />
Shape<br />
Sampling from a normal population<br />
Professor David Lane of Rice University has<br />
developed a wonderful applet for investigating<br />
the sampling distribution of x. In this activity, you’ll<br />
use Professor Lane’s applet to explore the shape of<br />
the sampling distribution when the population is<br />
normally distributed.<br />
1. go to http://onlinestatbook.com/stat_sim/<br />
sampling_dist/ or search for “online statbook<br />
sampling distributions applet” and go to the website.<br />
When the BEgIN button appears on the left<br />
side of the screen, click on it. You will then see a<br />
yellow page entitled “Sampling Distributions” like<br />
the one in the screen shot.<br />
2. There are choices for the population distribution:<br />
normal, uniform, skewed, and custom. The<br />
Starnes_<strong>3e</strong>_CH06_398-449_Final.indd 434<br />
Skewness is a measure of the skewness of the<br />
distribution; kurtosis measures how light or<br />
heavy the tails of the distribution are relative to a<br />
normal distribution.<br />
Answers:<br />
1. Students should launch the applet.<br />
2. The black boxes represent individuals<br />
being randomly selected from the<br />
population. The blue square represents the<br />
sample mean of the sample on the second<br />
number line.<br />
3.<br />
• The simulated sampling distribution has<br />
an approximately normal shape.<br />
Recall that m x = m and s x = s "n .<br />
FOR PRACTICE TRY EXERCISE 1.<br />
The shape of the sampling distribution of the sample mean x depends on the shape of<br />
the population distribution. In the following activity, you will explore what happens<br />
when sampling from a normal population.<br />
default is normal. Click the “Animated” button.<br />
What happens? Click the button several more<br />
times. What do the black boxes represent? What<br />
is the blue square that drops down onto the<br />
plot below?<br />
• The mean and median of the sampling<br />
distribution are 16, just like the population.<br />
(It is possible that some students will get<br />
values slightly different from 16.)<br />
• The standard deviation of the sampling<br />
distribution is smaller than the standard<br />
deviation of the population.<br />
4. The sampling distribution of x for n 5 20<br />
has the same shape and center, but the<br />
variability is even less than the sampling<br />
distribution for n 5 5.<br />
5. The shape of the sampling distribution is<br />
normal when the population distribution<br />
has a normal shape.<br />
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C H A P T E R 6 • Sampling Distributions<br />
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