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t tests for Single Samples

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Square root of variance. typical distance of scores from mean. t statistic ... Table B.2, p A-27. df = n - 1 ~ Cannot use z statistic. t statistic ... – PowerPoint PPT presentation

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Title: t tests for Single Samples


1
t - tests for Single Samples
  • Unit 7
  • Ch 9 1-5, 7, 9, 11, 13, 15, 17 (pp. 253-256)

2
Evaluating Hypotheses About Means
  • Evaluating hypothesis about population
  • taking a single sample
  • Does it likely come from population?
  • Test statistics
  • z test if s known
  • t test if s unknown

3
s and Hypothesis Tests
  • s is known
  • use z test
  • s is NOT known
  • Cannot calculate standard error
  • Use estimated standard error of mean

4
Sample Standard Deviation (s)
  • Square root of variance
  • typical distance of scores from mean

5
t statistic
  • Cannot use z statistic
  • How good an estimate is it?
  • depends on sample size
  • tcv is adjusted for sample size
  • Table B.2, p A-27
  • df n - 1

6
t statistic
7
Steps in Hypothesis Evaluation
  • 1. State null alternative hypotheses
  • 2. Set criterion for rejecting H0
  • 3. collect sample compute sample statistic
    test statistic
  • 4. Interpret results

8
1. State null alternative hypotheses
  • Survey college students study 21 hr/wk
  • Do Coe students study 21 hrs/week?
  • Select sample (n 16)
  • s unknown
  • Nondirectional hypothesis
  • H0 m 21 H1 m ¹ 21
  • reject H0 if increase or decrease

9
2. Set Criterion for Rejecting H0
  • Determine critical value of test statistic
  • Directionality
  • a .05
  • df
  • tCV
  • Defines critical region

10
Critical regions
f
11
3. Collect sample compute statistics
  • Compute sample statistics
  • assume

12
3. Collect sample compute statistics
  • Use sample statistics to compute test statistic

13
Critical regions
f
14
4. Interpret Results
  • tobs in rejection region?
  • Yes. 2.38 gt 2.131
  • Reject H0
  • Coe students study gt 21 hrs/wk
  • There is a significant difference
  • Is there practical significance?
  • Reporting in literature
  • t(15) 2.38, plt.05, two-tailed

15
Changing Level of Significance
  • If a .01
  • Decision?
  • Fail to reject H0 (accept H0)

16
A Directional Hypothesis
  • s unknown same question
  • evidence from prior surveys that Coe students
    study less than 21 hrs per week
  • H1 experimental hypothesis
  • can use directional hypotheses

17
A Directional Hypothesis
  • 1. State H0 H1
  • H0 m gt 21
  • Coe students study more than or equal to 21 hrs
    per week
  • H1 m lt 21
  • Coe students study less than 21 hrs per week

18
A Directional Hypothesis
  • 2. Set criterion for rejecting H0
  • a .05, level of significance
  • directional (one-tailed) test
  • df 15

19
Critical Region
1-tailed
a .05
tCV
-1.753
f
20
3. Collect sample compute statistics
  • Compute sample statistics
  • assume

21
3. Collect sample compute statistics
  • Use sample statistics to compute test statistic

22
Critical Region
1-tailed
a .05
f
23
4. Interpret Results
  • Is tobs is beyond tCV?
  • Is it in rejection region?
  • NO. 2.38 gt -1.753
  • Fail to reject H0
  • Coe students study do not study less than 21
    hrs/wk
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