Sample Test - Data File Format - Biometry | BIOL 620, Study notes of Biometrics

Material Type: Notes; Professor: Butler; Class: BIOMETRY; Subject: Biological Sciences; University: Old Dominion University; Term: Unknown 1989;

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2019/2020

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Biometry (Biol 620)
1
SPSS for One-sample, Two-sample, and Paired T-tests
One-sample T-test
I. Data File Format
- need one column that contains the data for each replicate (each row). See the data file example below:
7.07
5.30
4.91 etcโ€ฆ.
II. Analysis
(1) From the pull-down menu:
Analyze
โ†’
Compare Means
โ†’
one-sample T-test <click on this>
(2) (a) Click to highlight the dependent variable column name in the left window menu, then click on the arrow to
move it to the right window to define the DEPENDENT VARIABLE.
(b) In the โ€œTest Valueโ€ window at the bottom right, type in the expected value against which you want to test
the sample mean. Then click the โ€œOKโ€ button to run the analysis.
III. Result
Two-sample T-test
I. Data File Format
- need two columns; one that specifies which treatment group each data value comes from and one that contains the
data for each replicate. See the data file example below; column 1 = treatment, column 2 = data:
1 7.07
1 5.30
2 4.91
2 5.72 etcโ€ฆ.
II. Analysis
(1) From the pull-down menu:
Analyze
โ†’
Compare Means
โ†’
independent-samples T-test <click on this>
(2) Click to highlight the dependent variable column name in the left window, then click on the arrow to move it to
the โ€œTest Variableโ€ window to define the DEPENDENT VARIABLE. Then highlight the independent
variable column name in the left window, then click the arrow to move it to the โ€œGrouping Variableโ€ window.
(3) Click on the โ€œDefine Groupsโ€ button to reveal a window in which you type in the letters, numbers, or words
(case sensitive) that define the two treatment groups: โ€œTest Group 1โ€ and โ€œTest Group 2โ€. Click the
โ€œContinueโ€ button to return to the previous window. Then click the โ€œOKโ€ button to run the analysis.
III. Result
Independent Samples Test
35.907 .000 -33.766 766 .000 -16.634 .4926 -17.6014 -15.6672
-34.178 691.063 .000 -16.634 .4867 -17.5899 -15.6787
Equal variances
assumed
Equal variances
not assumed
CL
FSig.
Levene's Test for
Equality of Variances
tdf Sig. (2-tailed)
Mean
Difference
Std. Error
Difference Lower Upper
95% Confidence
Interval of the
Difference
t-test for Equality of Means
One-Sample Test
4.302 767 .000 1.670 .908 2.432
CL
tdf Sig. (2-tailed)
Mean
Difference Lower Upper
95% Confidence
Interval of the
Difference
Test Value = 30
pf2

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Biometry (Biol 620)

SPSS for One-sample, Two-sample, and Paired T-tests

One-sample T-test I. Data File Format

  • need one column that contains the data for each replicate (each row). See the data file example below:
    4.91 etcโ€ฆ. II. Analysis (1) From the pull-down menu:

Analyze โ†’ Compare Means โ†’ one-sample T-test

(2) (a) Click to highlight the dependent variable column name in the left window menu, then click on the arrow to move it to the right window to define the DEPENDENT VARIABLE. (b) In the โ€œ Test Value โ€ window at the bottom right, type in the expected value against which you want to test the sample mean. Then click the โ€œ OK โ€ button to run the analysis.

III. Result

Two-sample T-test I. Data File Format

  • need two columns; one that specifies which treatment group each data value comes from and one that contains the data for each replicate. See the data file example below; column 1 = treatment, column 2 = data: 1 7. 1 5. 2 4. 2 5.72 etcโ€ฆ. II. Analysis (1) From the pull-down menu:

Analyze โ†’ Compare Means โ†’ independent-samples T-test

(2) Click to highlight the dependent variable column name in the left window, then click on the arrow to move it to the โ€œ Test Variable โ€ window to define the DEPENDENT VARIABLE. Then highlight the independent variable column name in the left window, then click the arrow to move it to the โ€œ Grouping Variable โ€ window. (3) Click on the โ€œ Define Groups โ€ button to reveal a window in which you type in the letters, numbers, or words (case sensitive) that define the two treatment groups: โ€œ Test Group 1 โ€ and โ€œ Test Group 2 โ€. Click the โ€œ Continue โ€ button to return to the previous window. Then click the โ€œ OK โ€ button to run the analysis.

III. Result

Independent Samples Test

35.907 .000 -33.766 766 .000 -16.634 .4926 -17.6014 -15. -34.178 691.063 .000 -16.634 .4867 -17.5899 -15.

Equal variances assumed Equal variances not assumed

CL

F Sig.

Levene's Test for Equality of Variances

t df Sig. (2-tailed)

Mean Difference

Std. Error Difference Lower Upper

95% Confidence Interval of the Difference

t-test for Equality of Means

One-Sample Test

CL 4.302 767 .000 1.670 .908 2.

t df Sig. (2-tailed)

Mean Difference Lower Upper

95% Confidence Interval of the Difference

Test Value = 30

Biometry (Biol 620)

Paired T-test I. Data File Format

  • need two columns; one that contains the first number in each data set pair (e.g., โ€œbeforeโ€ data) and another column that contains the second number in each data set pair. Pairs of numbers must be in the same row. See the data file example below: 5.43 7. 4.88 5. 3.29 4.91 etcโ€ฆ

II. Analysis (1) From the pull-down menu:

Analyze โ†’ Compare Means โ†’ paired-samples T-test

(2) Click to highlight the two variables column names in the left window menu, then click on the arrow to move them to the right โ€œ Paired Variables โ€ window. Then click the โ€œ OK โ€ button to run the analysis.

III. Results

Paired Samples Test

Pair 1 CL - RECAP -1.4280 11.27935 2.25587 -6.0839 3.2279 -.633 24.

Mean Std. Deviation

Std. Error Mean Lower Upper

95% Confidence Interval of the Difference

Paired Differences

t df Sig. (2-tailed)