Assignment Tasks:

$1.$Research Population and Sample:

Choose a real$-$world scenario or problem where statistical analysis is applicable

$($e$.$g$.,$ consumer behavior, health trends, environmental data, economic indicators$).$

Define the population of interest in your chosen scenario. Explain what constitutes

the entire population in this context.

Describe how a sample could be drawn from this population. Discuss the

importance of sampling in statistical analysis and decision$-$making.

$2.$Levels of Measurement:

Identify and describe the variables involved in your chosen scenario.

Classify these variables based on their levels of measurement $($nominal$,$ ordinal,

interval, ratio$).$ Explain why each variable falls into its respective category.

Discuss the implications of the level of measurement for data analysis and

interpretation in your scenario.

Assignment Tasks:

Assignment Tasks:

Sampling Techniques:

Investigate various sampling techniques $($e$.$g$.,$ random sampling, stratified sampling, cluster

sampling$)$ and their applications.

Select one or more sampling techniques that would be appropriate for your chosen scenario.

Justify your choice$($s$)$ based on the characteristics of the population and the research

objectives.

Discuss potential advantages and limitations of the chosen sampling technique$($s$)$ in the

context of your scenario.

Analysis and Conclusion:

To be Assigned Next Lecture

Submission Guidelines:

$-$Prepare a written report that includes all the above tasks.

Include relevant charts, tables, or graphs to illustrate your points. $($USE SPSS$)$

$-$Present your findings to the class, highlighting key insights and discussing the significance of statistical

concepts in addressing real$-$life problems.