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CHAPTER9
ONE-SAMPLE TESTS
OF HYPOTHESIS
LIND
MARCHAL
WATHEN
WAITE
© 2015 McGraw-Hill Education 2
Learning Objectives
LO1 Define a hypothesis.
LO2 Explain the five-step hypothesis testing procedure.
LO3 Define Type I and Type II errors.
LO4 Define the term test statistic and explain how it is used.
LO5 Distinguish between a one-tailed test and a two-tailed test
of hypothesis.
LO6 Conduct a test of hypothesis about a population mean.
LO7 Compute and interpret a p-value.
LO8 Conduct a test of hypothesis about a population proportion.
© 2015 McGraw-Hill Education 3
Learning Objective
LO
1
DEFINE A HYPOTHESIS
© 2015 McGraw-Hill Education 4
What is a Hypothesis?
A hypothesis is a statement about a population
parameter subject to verification.
In statistical analysis we make a claim, that is, state a
hypothesis, collect data, and then use the data to test
the claim.
Example: A hypothesis might be that the mean
monthly commission of sales associates in a retail
electronic store is $3000.
LO1
© 2015 McGraw-Hill Education 5
What is Hypothesis Testing?
The terms hypothesis testing, significance testing, and
testing a hypothesis are used interchangeably.
Hypothesis testing is a procedure based on sample
evidence and probability theory to determine whether
the hypothesis is a reasonable statement.
Example: To test the validity of the assumption on the
previous slide (μ = $3000), we select a sample from the
population of all sales associates, calculate sample
statistics and, on the basis of specific decision rules,
reject or not reject the hypothesis.
LO1
© 2015 McGraw-Hill Education 6
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