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Calculating the correct sample size is crucial because it directly impacts the reliability and validity of the analysis. A sample that is too small may not accurately represent the population, leading to underrepresentation of key subgroups and insufficient statistical power to detect significant differences or trends. A properly sized sample ensures that the results are reliable and that the findings can be generalized to the population. Statistical power is essential to determine the likelihood that a true effect will be observed, reducing the risk of Type II errors (failing to detect a true effect when one exists). The other options are incorrect because: • Option 1 (Including every possible outcome) is unrealistic and unnecessary in sampling, as sampling involves working with a subset, not the whole population. • Option 3 (Simplification) overlooks the importance of ensuring that the sample is large enough to draw valid conclusions. • Option 4 (Bias toward a segment) is undesirable, as sample size calculation aims to avoid bias and ensure representativeness. • Option 5 (Data cleaning) relates to dataset preparation but is not directly influenced by the sample size calculation itself.
Read the following information to answer the below questions:
Which among the following ratios is a part of Liquidity Analysis?
After providing for ___________, Declaration of Dividends for the current year is made.
Which of the following statements is FALSE?
Which of the following assessee is not liable to pay advance tax u/s 207?
Stock on 1st Jan = ₹1,00,000
Purchases = ₹2,50,000
Sales = ₹3,00,000
Gross Profit = 25% on sales
In ABC analysis, A, B and C stand for:
Securities Premium can be used by the company:
Which of the following Provident Fund is exempt up to 12% of employee's salary, from employer's contribution?
Interest coverage ratio can be numerically expressed in the form of the following equation:-