In: Statistics and Probability
Dept. 1 | Dept. 2 | Dept. 3 | Dept. 4 |
$32,782 | $35,467 | $23,654 | $65,487 |
$32,920 | $35,468 | $36,578 | $46,184 |
$29,548 | $29,876 | $37,548 | $54,899 |
$39,828 | $43,674 | $53,234 | $34,869 |
$31,528 | $36,431 | $54,679 | $35,487 |
$38,985 | $26,578 | $47,536 | $26,548 |
$41,889 | $36,571 | $31,425 | $34,231 |
$38,791 | $56,326 | $39,331 | |
$28,985 | $36,512 | ||
$24,749 | $68,425 | ||
$36,487 | |||
$34,632 | |||
$46,211 | |||
$51,698 | |||
$69,246 | |||
$48,695 | |||
$34,987 | |||
$35,631 | |||
$39,743 | |||
$41,255 | |||
$26,452 |
Following steps need to be followed:
Step 1: Put the data onto the excel spreadsheet
Step 2: Go to data --> data analysis --> ANOVA: Single factor
Step 3: Select the data and get the output
Conclusion:
SInce the p value (0.1598) is more the the assume significance value of 0.05. There is no significant difference between the salary of the four departments