Title: Tests of Significance
1Tests of Significance
Part II
2Steps for Tests of Significance
- 1. Identify the population of interest and the
parameter you want to draw conclusions about.
State null and alternative hypotheses in words
and symbols.
3Steps for Tests of Significance
- 2. Choose the appropriate inference procedure.
Verify the conditions for using the selected
procedure.
4Steps for Tests of Significance
- 3. If the conditions are met, carry out the
inference procedure. Calculate the test
statistic. Find the p-value.
5Steps for Tests of Significance
- 4. Interpret your results in the context of the
problem.
6Tests for Population Mean
- One-tailed when Ha µ gt µ0
- Or when Ha µ lt µ0
- Which tail is which?
7Tests for Population Mean
- Two-sided or two-tailed
- Ha µ ? µ0
8Executives Blood Pressures
- National Center for Health Statistics reports
- Mean systolic blood pressure for males 35-44
years of age is 128 and the standard deviation in
this population is 15. - The medical director of a large company looks at
the records of 72 male executives in this age
group and finds a mean of 126.07. - Is this evidence that the company executives
blood pressures are different from the general
population?
9Executives Blood Pressures
- Assume the standard deviation for the company is
the same as for the general population at 15
10Executives Blood Pressures
- Step 1
- Identify the population of interest and the
parameter we want to draw conclusions about.
11Executives Blood Pressures
- Step 1
- State the null and alternative hypotheses
- in words
- and in symbols
12Executives Blood Pressures
- Step 2
- Choose the appropriate inference procedure.
- Verify the conditions for using the selected
procedure.
13Executives Blood Pressures
- Step 3
- Carry out the inference procedure.
- Calculate the test statistic.
- Something new
- One-sample z-statistic
- Z x-bar µ0
- ?/vn
14Executives Blood Pressures
- Find the p-value.
- Sketch the distribution using z.
- In this example
- P-value 2P(z gt 1.09) 2(1-0.862) 0.2758
- Or
- 1 - ShadeNorm (-1.09,1.09,0,1.77)
- 2
15Executives Blood Pressure
- Step 4
- Interpret your results in the context of the
problem.
16Executives Blood Pressure
- More than 27 of the time an SRS of size 72 from
the general population would have a mean blood
pressure at least as far from 128 as that of the
company sample.
17Executives Blood Pressures
- We do not have strong enough evidence to reject
the null hypothesis that our company executives
are different from the general population.
18Can You Balance Your Checkbook?
- The average young person cant even balance a
checkbook.
19Can You Balance Your Checkbook?
- The National Assessment for Educational Progress
survey says that a score of 275 or higher on its
quantitative test reflects the skill needed to
balance a checkbook.
20Can You Balance Your Checkbook?
- An NAEP random sample of 840 young Americans had
a mean score of 272. - Is this sample result strong enough evidence to
say that the mean for all young Americans is
below 275? - Assume ? 60.
21Can You Balance Your Checkbook?
- Step 1
- Population of interest
- Parameter of interest
- Null Hypothesis
- Alternative Hypothesis
22Can You Balance Your Checkbook?
- Step 2
- Choose the appropriate inference procedure.
- Verify the conditions for using the selected
procedure. - Random?
- Normal?
23Can You Balance Your Checkbook?
- Step 3
- If conditions are met, carry out the procedure
- Calculate the one-sample z-statistic.
- Find the p-value.
24Can You Balance Your Checkbook?
- Step 4
- Interpret your results in the context of the
problem.
25Your Turn
- Textbook Page 576
- 10.40
- 10.79