Fundamentals 4 min read

Can Keratin‑10 Improve Hemoglobin in Silicosis? A Paired t‑Test Walkthrough in SPSS

This article guides readers through a paired‑samples t‑test in SPSS to evaluate whether Keratin‑10 treatment significantly changes hemoglobin levels in ten silicosis patients, covering data preparation, test execution, result interpretation, and concluding that the drug shows no statistical effect.

Model Perspective
Model Perspective
Model Perspective
Can Keratin‑10 Improve Hemoglobin in Silicosis? A Paired t‑Test Walkthrough in SPSS

1. Problem and Data

A study collected hemoglobin (g/dL) measurements before and after treatment with Keratin‑10 in 10 silicosis patients. The table (image) shows the raw data. The question is whether the drug affects hemoglobin levels.

Data table
Data table

2. Analysis of the Question

The data consist of paired measurements for each patient, forming a quantitative paired design. To assess the drug effect, the difference between pre‑ and post‑treatment hemoglobin must be tested for statistical significance. If the two sets are normally distributed, a paired‑samples t‑test is appropriate.

The paired‑samples t‑test is applicable when:

Measurements are taken on the same subjects before and after a treatment.

The same subjects receive different treatments.

Different subjects are matched and each pair receives different treatments.

3. SPSS Operations

(1) Import the data into SPSS.

SPSS data view
SPSS data view

(2) Choose Analyze → Compare Means → Paired‑Samples T Test.

SPSS menu selection
SPSS menu selection

(3) In the dialog, move the “before” and “after” variables into the Paired Variables box as Variable1 and Variable2, then click OK.

SPSS paired‑samples dialog
SPSS paired‑samples dialog

4. Result Interpretation

Paired Samples Statistics
Paired Samples Statistics

The Paired Samples Statistics table provides mean, N, standard deviation and standard error for pre‑ and post‑treatment hemoglobin.

Paired Samples Correlations
Paired Samples Correlations

The correlation between the two measurements is 0.676 (p = 0.032), indicating a significant relationship.

Paired Samples Test
Paired Samples Test

The Paired Samples Test shows t = –0.531, p = 0.609 (> 0.05), so the difference is not statistically significant.

5. Conclusion

Mean hemoglobin before treatment was 13.4 ± 1.3 g/dL and after treatment 13.6 ± 1.0 g/dL. Because t = –0.531 and p = 0.609, Keratin‑10 cannot be considered to affect hemoglobin levels in silicosis patients.

statistical analysisSPSShemoglobinmedical statisticspaired t-testsilicosis
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Insights, knowledge, and enjoyment from a mathematical modeling researcher and educator. Hosted by Haihua Wang, a modeling instructor and author of "Clever Use of Chat for Mathematical Modeling", "Modeling: The Mathematics of Thinking", "Mathematical Modeling Practice: A Hands‑On Guide to Competitions", and co‑author of "Mathematical Modeling: Teaching Design and Cases".

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