

Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Concept of population and sample
Typology: Summaries
1 / 3
This page cannot be seen from the preview
Don't miss anything!


Population means the complete group of people or items that we want to study. In simple words: Population = All members of a group Examples All students in a university All citizens of Pakistan All workers in a company Example: If we want to study marks of all students in a class , then all students are the population.
A sample is a small part of the population selected for study. Researchers study samples because studying the whole population is difficult and expensive. Examples Surveying 100 people out of 5000 people Studying 50 students from a university Example: A college has 1000 students , but we study 100 students. Those 100 students are the sample.
Measure of dispersion shows how much the data values spread out from the average (mean). In simple words: It tells us how different the values are from each other.
Data Set A: 10, 10, 10, 10 Data Set B: 5, 10, 15, 20 Both averages are 10 , but data set B has more spread. So dispersion is greater in B.
Mean Deviation is the average of absolute differences between each value and the mean. It tells us how far the data values are from the mean.
Data: 2, 4, 6, 8
Mean = (2 + 4 + 6 + 8) / 4 Mean = 20 / 4 Mean = 5
| X | X−Mean | |X−Mean| | |---|---|---| |2|2−5 = −3|3| |4|4−5 = −1|1| |6|6−5 = 1|1| |8|8−5 = 3|3| Sum of absolute values = 8
Mean Deviation = 8 / 4 Mean Deviation = 2
4. Variance
Variance measures how far each value is from the mean by squaring the deviations. It shows how spread out the data is.
Data: 2, 4, 6
Mean = (2 + 4 + 6) / 3 Mean = 12 / 3 Mean = 4
X X−Mean (X−Mean)² 2 −2 4 4 0 0 6 2 4 Sum = 8
Variance = 8 / 3 Variance = 2.
5. Standard Deviation
Standard deviation is the square root of variance. It tells us how much the values differ from the mean.
Data: 2, 4, 6 We already calculated: Variance = 2.