Lesson Plan 
Practice Test 
Study Sheet 


Ch 11

State the 2 assumptions for drawing inferences
about a population mean when sigma is not known.

Calculate standard error
(standard deviation of the sampling distr. = s/n^.5) for a sample.

Explain when a t statistic is used rather than
a z score.

Calculate t statistics.

State the degrees of freedom for a t test.

Construct confidence intervals using the t statistic.

Perform one sample tprocedures
on the TI83.
Home Work: 11.7,
11.9, 
Read section



 Lesson 1
 Key Concept:
Use of the tDistribution
 Purpose:
L.
Warm up: D
Interactive Discussion:
Objectives 12. D
Stats Investigation (Teams of
two):
Stats
Investigation: S 
Purpose:
D
simulated by humans.
Instructions: U
Questions /Conclusions:
 W

Resources/Materials: pennies
for flipping 

Ch

Ap
Home Work: 11.13,
11.17, 11.21, 11.26


 Lesson 2
 Key Concept: Matched
Pairs ttest
 Purpose:
B
Warm up (Teams of
two): D
Interactive Discussion:
O
Objective 912.
Problem Solving (Teams of
two): C


Ch

State the assumptions made
for two sample tests. (p. 619)

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.

Be aware of the more
accurate way to calculate df as shown on page 633.

Perform two sample
hypothesis tprocedures on the TI83.

State the key assumption
required for using the pooled twosample tprocedures.
Home Work 11.33,
11.35, 11.37, 11.49:



Lesson 3
Key Concept: Two Sample
tprocedures  No assumption made about the standard deviation
being equal.(p.624)
Purpose: U
Warm up (Individual):
c



Lesson 3
Key Concept: T
Purpose: U



