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CA Foundation Statistical Representation of Data and Sampling — practice questions — page 2

Explore 69 free Statistical Representation of Data and Sampling questions in CA Foundation Quantitative Aptitude. Open each question or exercise to read its content, reference answers and available explanation.

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Statistical Representation of Data and Sampling questions and exercises with answers

Showing questions 31–60 of 69.

In cluster sampling, respondents are selected in what way?Read the answer and worked solution →Cluster sampling can reduce costs mainly because of what?Read the answer and worked solution →Compared with simple random sampling, cluster sampling needs what for equal accuracy?Read the answer and worked solution →Multistage sampling is a form of cluster sampling with how many levels of units?Read the answer and worked solution →What step makes quota sampling a nonprobability method?Read the answer and worked solution →An interviewer is told to sample 200 women and 300 men aged 45 to 60 by judgement. Which method is this?Read the answer and worked solution →Which term is another name for accidental sampling?Read the answer and worked solution →In snowball sampling, how is the sample enlarged?Read the answer and worked solution →In voluntary sampling, who decides to join the sample?Read the answer and worked solution →Fish are caught, measured and returned to the water before sampling continues. What design is this?Read the answer and worked solution →In sampling without replacement, how often can an element be selected?Read the answer and worked solution →Total errors in sample surveys are classified into which two groups?Read the answer and worked solution →Random sampling error is caused by what?Read the answer and worked solution →Including data from outside the population is called what?Read the answer and worked solution →A frame that omits some population members suffers from what?Read the answer and worked solution →Respondents misunderstanding a question leads to which error?Read the answer and worked solution →A respondent returns a survey but skips some questions. What is this called?Read the answer and worked solution →A selected person completes no part of the survey. What is this called?Read the answer and worked solution →Mistakes in data coding are which type of error?Read the answer and worked solution →With one interview per household, who has a smaller chance?Read the answer and worked solution →Which practice is part of good data collection in sampling?Read the answer and worked solution →A histogram is a visual representation of what?Read the answer and worked solution →The bins of a histogram are usually what kind of intervals?Read the answer and worked solution →In a bar chart, each bar stands for what?Read the answer and worked solution →Who first introduced the term histogram, in lectures in 1892?Read the answer and worked solution →Who devised the bar chart for statistical measurements in 1786?Read the answer and worked solution →In a histogram, the areas of the rectangles are proportional to what?Read the answer and worked solution →For a density histogram, the total area is normalised to what value?Read the answer and worked solution →A cumulative histogram counts observations in which bins?Read the answer and worked solution →What is said about the best number of bins for a histogram?Read the answer and worked solution →

Worked practice questions

In cluster sampling, respondents are selected in what way?

  1. One by one from a list
  2. In whole groups of units
  3. Strictly by fixed quota
  4. Only through volunteering
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Correct answer: B. In whole groups of units

Clusters such as city blocks are chosen and respondents within them are interviewed together.

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Cluster sampling can reduce costs mainly because of what?

  1. Savings on travel and admin
  2. Larger and richer samples
  3. Fewer questions per person
  4. Exact weights for each unit
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Correct answer: A. Savings on travel and admin

Visiting several households in one block saves travel and administrative effort.

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Compared with simple random sampling, cluster sampling needs what for equal accuracy?

  1. A larger sample
  2. A smaller sample
  3. No random start
  4. The same sample
Show answer and solution

Correct answer: A. A larger sample

Clustering raises the variability of estimates, so more units are needed to match simple random accuracy.

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