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Lesson Plan |
Practice Test |
Study Sheet |
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Ch 11
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State the 2 assumptions for drawing inferences
about a population mean when sigma is not known.
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Calculate standard error
(standard deviation of the sampling distr. = s/n^.5) for a sample.
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Explain when a t statistic is used rather than
a z score.
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Calculate t statistics.
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State the degrees of freedom for a t test.
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Construct confidence intervals using the t statistic.
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Perform one sample t-procedures
on the TI-83.
Home Work: 11.7,
11.9, --
Read section
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- Lesson 1
- Key Concept:
Use of the t-Distribution
- Purpose:
L.
Warm up: D
Interactive Discussion:
Objectives 1-2. D
Stats Investigation (Teams of
two):
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Stats
Investigation: S |
| Purpose:
D
simulated by humans.
Instructions: U
Questions /Conclusions:
- W
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Resources/Materials: pennies
for flipping |
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Ch
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Ap
Home Work: 11.13,
11.17, 11.21, 11.26
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- Lesson 2
- Key Concept: Matched
Pairs t-test
- Purpose:
B
Warm up (Teams of
two): D
Interactive Discussion:
O
Objective 9-12.
Problem Solving (Teams of
two): C
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Ch
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State the assumptions made
for two sample tests. (p. 619)
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Create confidence intervals
and hypothesis test using two sample t procedures assuming that the
sigmas of the two populations are unequal. This is the most
concervative assumption.
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Be aware of the more
accurate way to calculate df as shown on page 633.
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Perform two sample
hypothesis t-procedures on the TI-83.
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State the key assumption
required for using the pooled two-sample t-procedures.
Home Work 11.33,
11.35, 11.37, 11.49:
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Lesson 3
Key Concept: Two Sample
t-procedures - No assumption made about the standard deviation
being equal.(p.624)
Purpose: U
Warm up (Individual):
c
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Lesson 3
Key Concept: T
Purpose: U
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