Chapter 9 Learning Objectives
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Transcript of Chapter 9 Learning Objectives
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1 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
Chapter 9 Learning Objectives
Population Mean: s Unknown
Population Proportion
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2 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
Tests About a Population Mean:s Unknown
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3 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
Test Statistic
Tests About a Population Mean:s Unknown
nS
Xt 0
This test statistic has a t distribution with n - 1 degrees of freedom.
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4 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
Rejection Rule: p -Value Approach
H1: Reject H0 if t < -t
Reject H0 if t > t
Reject H0 if t < - t or t > t
H1:
H1:
Tests About a Population Mean:s Unknown
Rejection Rule: Critical Value Approach
Reject H0 if p –value <
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5 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
p -Values and the t Distribution
The format of the t distribution table provided in most statistics textbooks does not have sufficient detail to determine the exact p-value for a hypothesis test.
However, we can still use the t distribution table to identify a range for the p-value.
An advantage of computer software packages is that the computer output will provide the p-value for the t distribution.
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6 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
A State Highway Patrol periodically samplesvehicle speeds at various locationson a particular roadway. The sample speed is used to test the null hypothesis
Example: Highway Patrol
One-Tailed Test About a Population Mean: s Unknown
The locations where H0 is rejected are deemedthe best locations for radar traps.
H0: < 65
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7 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
Example: Highway Patrol
At Location F, a sample of 64 vehicles shows a mean speed of 66.2 mph with a standard deviation of 4.2 mph. Use = .05 to test the above null hypothesis.
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8 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
One-Tailed Test About a Population Mean:s Unknown
1. Determine the hypotheses.
2. Specify the level of significance.
3. Compute the value of the test statistic.
= .05
H0: < 65Ha: > 65
0 66.2 65 2.286/ 4.2/ 64
xts n
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9 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
Using the Critical Value Approach
5. Compare Test Statistic with the Critical Value
We are at least 95% confident that the mean speed of vehicles at Location F is greater than 65 mph. Location F is a good candidate for a radar trap.
Because 2.286 > 1.669, we reject H0.
One-Tailed Test About a Population Mean:s Unknown
For = .05 and d.f. = 64 – 1 = 63, t.05 = 1.6694. Determine the Critical value and rejection rule.
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10 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
One-Tailed Test About a Population Mean:s Unknown
Using the p –Value Approach
5. Determine whether to reject H0.
4. Compute the p –value.For t = 2.286, the p–value lies between .025(where t = 1.998) and .01 (where t = 2.387).
.01 < p–value < .025
Since any p–value between 0.01 and 0.025 is less than = .05. Thus, we reject H0. That is, we are at least 95% confident that the mean speed of vehicles at Location F is greater than 65 mph.
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12 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
In general, a hypothesis test about the value of a population proportion p takes one of the following three forms (where p0 is the hypothesized value of the population proportion).
Hypotheses Testing of the Population Proportion
One-tailed(lower tail)
One-tailed(upper tail)
Two-tailed
0 0: H p p
0: aH p p0: aH p p0 0: H p p 0 0: H p p
0: aH p p
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13 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
The Test Statisticz p p
p 0
s
s pp p
n 0 01( )
Tests About a Population Proportion
where:
assuming np > 5 and n(1 – p) > 5
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14 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
When Using the p –Value Approach
H1 : ppReject H0 if z > z
Reject H0 if z < -z
Reject H0 if z < -z or z > z
H1: pp
H1 pp
Tests About a Population Proportion
Reject H0 if p –value <
When using the Critical Value Approach
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15 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
Example:
During a Christmas and New Year’s week, theNational Safety Council estimates that500 people would be killed and 25,000Would be injured on the nation’s roads. TheNSC claims that 50% of the accidents would be caused by drunk driving.
Two-Tailed Test About aPopulation Proportion
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16 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
A sample of 120 accidents showed that67 were caused by drunk driving. Usethese data to test the NSC’s claim with = .05.
Two-Tailed Test About aPopulation Proportion
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17 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
Two-Tailed Test About aPopulation Proportion
1. Determine the hypotheses.
2. Specify the level of significance.
3. Compute the value of the test statistic.
= .05
0: .5H p
: .5aH p
s
0 (67/ 120) .5 1.28.045644p
p pz
0 0(1 ) .5(1 .5) .045644120pp p
ns
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18 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
Two-Tailed Test About aPopulation Proportion
Using the Critical Value Approach
5. Compare the Test Statistic with the Critical Value
For /2 = .05/2 = .025, z.025 = 1.96. Since the alternative is non-directional, the rejection regionwould be the area below -1.96 and above 1.96
4. Determine the critical value
As 1.278 falls between -1.96 and 1.96 (the acceptance region), we cannot reject H0.
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19 Slide
©2009. Econ-2030-Applied Statistics (Dr. Tadesse)
Using the pValue Approach4. Compute the p -value.
5. Compare the p-value with the significance level
As p–value = .2006 > = .05, we fail to reject H0.
Two-Tailed Test About aPopulation Proportion
For z = 1.28, cumulative probability = .8997p–value = 2(1 .8997) = .2006