a small presentation on t-test with the help of excel

1. WELCOME

2. Myself...
• MD. RAIHAN IMRAN RAHOM
• DEPARTMENT OF FINANCE
• RAJSHAHI UNIVERSITY

3. Presentation on Computer in
Business
(FIN-303)
• Topic : Analysing data with ‘t-test’ in Excel

4. LET’S START

5. CONTENTS
• INTRODUCTION 1
• PROBLEM
• STEPS OF ACTIVE ANALYSIS TOOL PACK
• STEPS OF ‘t-test’ IN EXCEL
• RESULT ANALYSIS
• CONCLUSION

6. Introduction
• What is a hypothesis testing?
A hypothesis testing is a procedure based on a
sample evidence & probability theory to
determine whether the hypothesis is a
reasonable statement.
Here, I am going to analyse a data via ‘t-test’.

7. Problem
• The daily study hour of students of Finance & Banking 17th Batch,
Rajshahi University is given below:
FEMALE MALE
17 13
14 11
13 12
15 9
11 10
12 14
9

8. Conditions
• The level of significance is here 0.05. The
relation between null hypothesis, alternative
hypothesis & variance are given below:
• H0: μ1 - μ2 = 0
H1: μ1 - μ2 ≠ 0
Now I will analysis this data through a ‘t- test’
with the help of excel.

9. Opening an Excel Spreadsheet:
• At first select right button
of the mouse at any blank
space.
• Select the “New”
• And chose “Microsoft
Office Excel Worksheet”
• Name the document

10. Steps of t-test in Excel:
• Step-1
First of all, we have
to give input data
in excel
spreadsheet.

11. Steps of t-test in Excel:
• Step-2
On the Data tab,
click Data
Analysis.

12. Steps of t-test in Excel
• Step-3
• Now Select t-Test: Two-
Sample Assuming
Unequal Variances and
click OK.

13. Steps of t-test in Excel
• Step-4:
Now we have to follow these
steps below:
• Click in the Variable 1 Range
box and select the range
A4:A10.
• Click in the Variable 2 Range
box and select the range
B4:B9.
• Click in the Hypothesized
Mean Difference box and type
0 (H0: μ1 - μ2 = 0).
• Now we Click in the Output
Range box and select cell J2.
• Now we will click OK.

14. Steps of t-test in Excel
• Step-5
After clicking on the
OK button, we will
get the result analysis
section on Excel.

15. Analysing Result
• I examined a two-tail test (inequality). lf t Stat <
-t Critical two-tail or t Stat > t Critical two-tail,
we reject the null hypothesis. This is not the
case, -2.201 < 1.1921 < 2.201 Therefore, we do
not reject the null hypothesis. The observed
difference between the sample means (13 – 11.5)
is not convincing enough to say that the average
number of study hours between female and male
students differ significantly.

16. Conclusion
• After analysing data through the excel, we can
clearly observe the results within a short time &
effective way. It shows the necessary results
elaborately. It can easily be published. So using
the excel in analysing the hypothesis by ‘t-test’ is
much more effective & convenient than any
other tool or method.

17. THANKS TO ALL...