Inference about Two Means: Dependent Samples Section 10'1 - PowerPoint PPT Presentation

1 / 25
About This Presentation
Title:

Inference about Two Means: Dependent Samples Section 10'1

Description:

A test prep company claims its SAT prep course improves SAT math scores. ... are 95% confident that the SAT Prep Course improves Math scores somewhere ... – PowerPoint PPT presentation

Number of Views:78
Avg rating:3.0/5.0
Slides: 26
Provided by: alanc99
Category:

less

Transcript and Presenter's Notes

Title: Inference about Two Means: Dependent Samples Section 10'1


1
Inference about Two MeansDependent Samples
Section 10.1
  • Alan Craig
  • 770-274-5242
  • acraig_at_gpc.edu

2
Objectives 10.1
  • Distinguish between independent and dependent
    sampling
  • Test claims made regarding matched-pairs data
  • Construct confidence intervals about the
    population mean difference of matched-pairs data

3
Independent versus Dependent Sampling
  • A sampling method is independent when the
    individuals selected for one sample do no dictate
    which individuals are to be in a second sample.
  • A sampling method is dependent when the
    individuals selected for one sample are used to
    determine the individuals to be in a second
    sample.
  • Matched-pairs sampling is a dependent sampling
    method.
  • Determine whether sampling is dependent or
    independent in 2, 4, 6 on p. 442

4
Matched-Pairs
  • Do married couples have similar IQs?
  • We select a random sample of married couples and
    determine the IQs of husbands and wives
  • If we averaged IQs for all husbands and then for
    all wives and compared the two averages, would
    that answer our question?

5
Matched-Pairs
  • No. If we did that, we would have the average of
    a bunch of women and a bunch of men.
  • However, we could compute the difference in each
    couples IQs. (Wife1 Husband1)
  • We could then test whether the mean of these
    differences is significantly different from 0.

6
Testing a Claim about the Difference of Two Means
Using a Matched-Pairs Design
  • Requirements
  • Simple random sampling
  • Sample data are matched-pairs
  • Differences are (approximately) normally
    distributed or n 30

7
Testing a Claim about the Difference of Two Means
Using a Matched-Pairs Design
  • Step 1 State the hypotheses

8
Testing a Claim about the Difference of Two Means
Using a Matched-Pairs Design
  • Step 2 Choose a and find the critical t-value
    with n 1 degrees of freedom

Left-Tailed Two-Tailed
Right-Tailed
Critical Region Reject H0
Critical Region Reject H0
Critical Region Reject H0
Critical Region Reject H0
- ta
ta
- ta/2
ta/2
9
Testing a Claim about the Difference of Two Means
Using a Matched-Pairs Design
  • Step 3 Compute the test statisticapproximately
    follows a t-distribution with n 1 df
  • are the mean and standard
    deviation of the differenced data.

10
Testing a Claim about the Difference of Two Means
Using a Matched-Pairs Design
  • Step 4 Compare the critical value with the test
    statistic
  • Left-Tailed Two-Tailed Right-Tailed
  • t lt -ta t lt -ta/2 or t gt ta/2
    t gt ta
  • Reject H0 Reject H0 Reject H0
  • Step 5 State the conclusion.

11
Example 16 (a), p. 445
  • A test prep company claims its SAT prep course
    improves SAT math scores. Company administers SAT
    to 12 randomly selected students and determines
    their scores. The same students then take the
    course. They then retake the SAT. Test the claim
    at the a 0.10 level of significance.
  • Before
  • 436 431 270 463 528 377 397 413 525 323 413 292
  • After
  • 443 429 287 501 522 380 402 450 548 349 403 303
  • Enter Before in L1 and After in L2

12
Example 16 (a), p. 445
  • First calculate the differences
  • On the calculator, first L2 L1?L3
  • Why do we subtract L1 from L2 in this case and
    not vice versa?

13
Example 16 (a), p. 445
  • Verify Requirements Because n lt 30, we need to
    ensure the data is approximately normal. We have
    the differences in L3, so we do a normal
    probability plot and modified boxplot.
  • The normal probability plot is more or less
    linear.

14
Example 16 (a), p. 445
  • Verify Requirements Because n lt 30, we need to
    ensure the data is approximately normal. We have
    the differences in L3, so we do a normal
    probability plot and modified boxplot.
  • The modified boxplot shows no outliers.
  • We can proceed.

15
Example 16 (a), p. 445
  • Step 1 State hypotheses
  • Step 2 a 0.10 level of significance.
  • df 11, right-tailed test, so t0.10 1.363

Critical Region Reject H0
ta
16
Example 16 (a), p. 445
  • Step 3 Compute test statistic
  • First find the mean and standard deviation of the
    differenced data.
  • On the calculator, 1-Var Stats L3
  • md 12.417
  • sd 15.957

17
Example 16 (a), p. 445
  • Step 3 Compute test statistic (continued)
  • md 12.417 sd 15.957
  • Step 4 Compare critical value to test statistic
  • t 2.696 gt 1.363 t0.10
  • Step 5 We reject H0. There is sufficient
    evidence to show that the SAT prep course
    improves SAT math scores.

18
Example 16 (a), p. 445
  • If the level of significance is a 0.05, do we
    reject the null hypothesis?
  • (test statistic t 2.696 with df 11)

19
Example 16 (a), p. 445
  • Use calculator to compare critical value to test
    statistic. Assume difference data is in L3 as
    ours is.
  • Use STATS?TESTS?2 T-Test
  • Type m0 0, List L3, Freq 1, m gtm0
  • Calculate Draw

20
Confidence Interval for Matched-Pairs Data
  • CI Point Estimate Margin of Error
  • (1 a)100 confidence interval for md
  • ta/2 has n-1 df, are the mean and
    standard deviation of the differenced data.

21
Example 16 (b), p. 445
  • Construct a 95 confidence interval about the
    population mean difference. Interpret your
    result.
  • Step 1 Compute the differenced data and verify
    approximately normal.
  • Step 2 Compute
  • We have already done these two steps in part (a).
  • In particular, we found

22
Example 16 (b), p. 445
  • Construct a 95 confidence interval about the
    population mean difference. Interpret your
    result.
  • Step 3 Determine the critical value ta/2 with
    a 0.05 and n-1 degrees of freedom.
  • Using Table III with a 0.05 and 12 1 11 df,
    we find ta/2 t0.025 2.201

23
Example 16 (b), p. 445
  • Construct a 95 confidence interval about the
    population mean difference. Interpret your
    result.
  • Step 4 Compute the confidence interval.
  • We are 95 confident that the true mean
    difference in SAT Math scores is between 2.28 and
    22.56 points. That is, we are 95 confident that
    the SAT Prep Course improves Math scores
    somewhere between 2.28 and 22.56 points.

24
Example 16 (b), p. 445
  • Construct a 95 confidence interval about the
    population mean difference. Interpret your
    result.
  • Compute the confidence interval using calculator.
  • Use STATS?TESTS?8 TInterval
  • Type Inpt Data, List L3, Freq 1, C-Level .95

25
Questions
  • ???????????????
Write a Comment
User Comments (0)
About PowerShow.com