Traditional statistics (descriptive and inferential)

 Bilal Hussain Malik

17/3/25

                         


                             Traditional statistics (descriptive and inferential)


Case study:  This data has information of 8 students their age, gender, study hours, attendanceand test score 

Descriptive statistics help summarise and highlight the key characteristics of a dataset. They provide a precise description of the data without predicting or concluding anything beyond the immediate observation.

Average Mean Test Score: The average score for all the student is 75.875. 

Median Test Score: When test scores are arranged in order, the middle value is 77.5. The median is a consistent measure of central tendency because it is resistant to very high or very low scores.

Mode of Study Hours : The most common number of study hours for the students is 6. This shows that studying 6 hours is the most common activity within this sample. These descriptive statistics give a preview of how students are performing and how they are typically preparing.

Inferential statistics are used to explain patterns and make predictions based on data. In this case, correlation analysis was used to explore relationships between variables such as test scores and study hours.

Correlation Results:

The correlation coefficient between test scores and study hours is 0.9977, indicating a very strong positive relationship. This implies that as study hours increase, test scores will also increase.

The correlation of attendance and test scores is -0.7201, which shows a strong negative correlation.


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