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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 />

18/08/16 5:03 PMStarnes_<strong>3e</strong>_CH0<br />

434<br />

C H A P T E R 6 • Sampling Distributions<br />

Starnes_<strong>3e</strong>_ATE_CH06_398-449_v3.indd 434<br />

11/01/17 3:57 PM

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