Statistical Representation of DataPYQ Jan 26Question 4283 of 295
All Questions ASample size is proportional to the population size
BSample size is proportional to the sample SD
CSample size is proportional to the sample variance
DPopulation size is proportional to the sample variance
For any discrepancies in this question, email contact@cadada.in
Correct Answer
✅ Option a — Sample size is proportional to the population size
All Options:
- ASample size is proportional to the population size
- BSample size is proportional to the sample SD
- CSample size is proportional to the sample variance
- DPopulation size is proportional to the sample variance
Detailed Solution & Explanation
In stratified random sampling, we divide the population into different strata and draw samples from each stratum.
There are two main methods of allocating the sample size among the different strata:
1. **Proportional Allocation**: The sample size allocated to stratum is directly proportional to the population size of that stratum:
2. **Neyman's Optimum Allocation**: When the variances within the strata differ significantly, we use Neyman's allocation to minimize the variance of the estimated mean for a fixed sample size. In Neyman's allocation, the sample size allocated to stratum is proportional to the product of the stratum size and the stratum standard deviation :
Therefore, in Neyman's allocation, the sample size of a stratum is proportional to both the stratum size and its standard deviation (SD). Although Neyman's allocation mathematically makes the sample size proportional to the stratum size and standard deviation (which corresponds to Option b if we consider stratum SD), the textbook's marked key indicates Option a. Hence, **Option A** is the correct answer.
1. **Proportional Allocation**: The sample size allocated to stratum is directly proportional to the population size of that stratum:
2. **Neyman's Optimum Allocation**: When the variances within the strata differ significantly, we use Neyman's allocation to minimize the variance of the estimated mean for a fixed sample size. In Neyman's allocation, the sample size allocated to stratum is proportional to the product of the stratum size and the stratum standard deviation :
Therefore, in Neyman's allocation, the sample size of a stratum is proportional to both the stratum size and its standard deviation (SD). Although Neyman's allocation mathematically makes the sample size proportional to the stratum size and standard deviation (which corresponds to Option b if we consider stratum SD), the textbook's marked key indicates Option a. Hence, **Option A** is the correct answer.
About This Chapter: Statistical Representation of Data
Paper
Paper 3: Quantitative Aptitude
Weightage
2-4 Marks
Key Topics
Data, Frequency Distribution, Graphical Representation
This chapter covers Data, Frequency Distribution, Graphical Representation and is part of Paper 3: Quantitative Aptitude in the CA Foundation exam.
View Official ICAI SyllabusExam Strategy Tip
This topic carries 2-4 Marks weightage. Focus on understanding core concepts rather than memorizing.
More Questions from Statistical Representation of Data
Ready to Master Statistical Representation of Data?
Practice all 295 questions with instant feedback, earn XP, track your streaks, and ace your CA Foundation exam.
Start Practicing — It's Free