Title: Chapter 11 Inferences on Two Samples
1Chapter 11Inferences on Two Samples
- 11.1
- Inference about Means
- Dependent Sampling
2Objectives
- Distinguish between independent and dependant
sampling - Test claims made regarding matched-pairs data
- Construct confidence intervals about the
population mean difference of matched-pairs data
3A sampling method is independent when the
individuals selected for one sample does not
dictate which individuals are to be in a second
sample. A sampling method is dependent when the
individuals selected to be in one sample are used
to determine the individuals to be in the second
sample. Dependent samples are often referred to
as matched pairs samples.
4EXAMPLE Independent versus Dependent Sampling
For each of the following, determine whether the
sampling method is independent or dependent. (a)
A researcher wants to know whether the price of a
one night stay at a Holiday Inn Express Hotel is
less than the price of a one night stay at a Red
Roof Inn Hotel. She randomly selects 8 towns
where the location of the hotels is close to each
other and determines the price of a one night
stay.
5EXAMPLE Independent versus Dependent Sampling
For each of the following, determine whether the
sampling method is independent or dependent. (a)
A researcher wants to know whether the price of a
one night stay at a Holiday Inn Express Hotel is
less than the price of a one night stay at a Red
Roof Inn Hotel. She randomly selects 8 towns
where the location of the hotels is close to each
other and determines the price of a one night
stay. This is dependant sampling. Since the
hotels are in the same town then the Holiday Inn
chosen affects the Red Rood Inn chosen.
6EXAMPLE Independent versus Dependent Sampling
For each of the following, determine whether the
sampling method is independent or dependent. (b)
A researcher wants to know whether the newly
issued state quarters have a mean weight that
is different from traditional quarters. He
randomly selects 18 state quarters and 16
traditional quarters. Their weights are
compared.
7EXAMPLE Independent versus Dependent Sampling
For each of the following, determine whether the
sampling method is independent or dependent. (b)
A researcher wants to know whether the newly
issued state quarters have a mean weight that
is different from traditional quarters. He
randomly selects 18 state quarters and 16
traditional quarters. Their weights are
compared. This is independent sampling since the
state quarters chosen do not determine which
traditional quarters are chosen.
8The t- distribution
9Hypothesis Testing
- In order to test the hypotheses regarding the
mean difference, we need certain requirements to
be satisfied. - A simple random sample is obtained
- the sample data is matched pairs
- the differences are normally distributed or the
sample size, n, is large (n gt 30).
10Hypothesis Testing-Classical Method
11Hypothesis Testing-Classical Method
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15Hypothesis Testing- Classical Method
16Hypothesis Testing-Classical Method
Step 4 Compare the critical value with the test
statistic
17Hypothesis Testing- Classical Method
Step 5 State the conclusion.
18EXAMPLE Testing a Claim Regarding Matched
Pairs Data- Using the P-value method
19Source Expedia.com
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21EXAMPLE Testing a Claim Regarding Matched
Pairs Data- Using the p-value method
- Step 1- Make the Claim
- The null hypothesis is that µ1 µ2 and therefore
that µ1- µ2 µd 0. - Since we are testing the claim that the prices
are different then it is a two-tailed test and
the alternative hypothesis is µd ? 0
22EXAMPLE Testing a Claim Regarding Matched
Pairs Data
- Step 2- Select the level of significance
- According to the given information a .05
- Step 3- Find the p-value
- See page 448 for step by step directions.
- Using the T-Test we obtain that p 0.31
23EXAMPLE Testing a Claim Regarding Matched
Pairs Data
- Step 4- Determine if the p-value is lower than a
(for a one tail test) or a/2 (for a two tailed
test). - Since p (.31) is not smaller than a/2 (.025) then
we can not reject the null. - Step 5- Make your conclusions
- There is not sufficient evidence to support the
claim that the price of La Quinta Inns is
different than the price of Hampton Inns.
24EXAMPLE Testing a Claim Regarding Matched
Pairs Data- Using the P-value method
- The following data represents the reaction time
(in seconds) to press a key. - Participants must press a key on seeing either a
blue or red screen. - Test the claim that the reaction time to the red
screen is less than the reaction time to the blue
screen at the a .05 level of significance. - Note since the sample size is less than 30 then
we must test for normality.
25EXAMPLE Testing a Claim Regarding Matched
Pairs Data- Using the p-value method
26EXAMPLE Testing a Claim Regarding Matched
Pairs Data- Using the p-value method
- Step 1- Make the Claim
- The null hypothesis is that µb µr and therefore
that µr- µb µd 0. - Since we are testing the claim that the reaction
time of the red screen is less than the blue then
it is a one-tailed test. - We say µr lt µb and µd µr µb lt 0 the
alternative hypothesis is µd lt 0
27EXAMPLE Testing a Claim Regarding Matched
Pairs Data
- Step 2- Select the level of significance
- According to the given information a .05
- Step 3- Find the p-value
- See page 448 for step by step directions.
- Using the T-Test we obtain that p .0294
28EXAMPLE Testing a Claim Regarding Matched
Pairs Data
- Step 4- Determine if the p-value is lower than a
(for a one tail test) or a/2 (for a two tailed
test). - Since p (.0294) is smaller than a (.05) then we
can reject the null hypothesis. - Step 5- Make your conclusions
- There is sufficient evidence to support the claim
that the reaction time to the red screen is less
than the reaction time to the blue screen.
29Confidence Intervals for Matched Paris Data
30EXAMPLE Constructing a Confidence Interval
for the Mean Difference Construct a 90
confidence interval for the mean difference in
price of Hampton Inn versus La Quinta hotel
rooms. See page 448 for step by step directions.
By selecting the TInterval we obtain (-2.181,
8.381)