📊 t-test for two samples

This lesson explains key concepts in a structured way and connects them to practical agricultural applications and exam-oriented understanding.

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t-test for two samples

t-test for two samples and ANOVA with One-way classification

t-test for two samples assuming equal variances:

• Example: Perform t-test for two samples assuming equal variances for yield of food in kg/ha in Kharif and Rabi season from 1996-97 to 2006-07.
• The data is entered in Excel sheet as shown below:

• Choose t-Test: Two-Samples assuming Equal Variances in the Data Analysis window:

• In the t-Test: Two-Samples assuming Equal Variances window enter the Variable 1 Range and Variable 2 Range.
• Check the Labels option
• Hypothesized mean difference be 0.5
• Let Alpha value be 0.05
• Set output range as E2.

• The result will be displayed from E2 as shown below:

ANOVA(Analysis od Variances) with One-way Classification

• Example: Perform ANOVA One Way Classification for yield of food in kg/ha in three seasons from 1996-97 to 2006-07
• The data is entered in Excel sheet as follows:

• Choose ANOVA: Single Factor from Data Analysis window.

• In the ANOVA: Single Factor window enter the input range. The input range in the example is B2:D13
• Choose Group by Columns
• Check Labels in the first row
• Output range is set to F2 as follows:

• The result of the ANOVA with One-way classification is displayed from F2 as shown below:

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Summary Cheat Sheet

• Core concepts: revise definitions, components, and workflows from this lesson.
• Exam focus: memorize key terms, differences, and practical application points.
• Practice: apply the topic steps once in a real or simulated computer task.

References

2 sources • [1] [2]

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Course Notes

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AgriDots Lesson Source