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MCQs

Total Questions : 53 | Page 4 of 6 pages
Question 31. The bias which occurs when the randomly drawn sample from population fails to represent whole population is classified as
  1.    populated bias
  2.    random sample bias
  3.    under coverage bias
  4.    coverage bias
 Discuss Question
Answer: Option C. -> under coverage bias
Answer: (c).under coverage bias
Question 32. If the proportion of population is 10.5 then the proportion mean of sampling distribution is
  1.    10.5
  2.    12.5
  3.    15.5
  4.    18.5
 Discuss Question
Answer: Option A. -> 10.5
Answer: (a).10.5
Question 33. The value of estimator is subtracted from mean and then divided by standard deviation to calculate
  1.    random variable with standard error
  2.    sample size of population
  3.    standard normal random variable
  4.    error free random variable
 Discuss Question
Answer: Option C. -> standard normal random variable
Answer: (c).standard normal random variable
Question 34. The sample statistics are denoted by the
  1.    upper case Greek letter
  2.    associated roman alphabets
  3.    roman letters
  4.    lower case Greek letter
 Discuss Question
Answer: Option C. -> roman letters
Answer: (c).roman letters
Question 35. In statistical analysis, the sample size is considered small if
  1.    n > 50
  2.    n < 50
  3.    n > 30
  4.    n < 30
 Discuss Question
Answer: Option D. -> n < 30
Answer: (d).n < 30
Question 36. The quota sampling, judgment sampling and convenience sampling are classified as types of
  1.    random sampling
  2.    non random sampling
  3.    direct sampling
  4.    indirect sampling
 Discuss Question
Answer: Option B. -> non random sampling
Answer: (b).non random sampling
Question 37. If the value of p is 0.70 and the sample size is 28 then the value of standard deviation of sample proportion is
  1.    0.097
  2.    0.067
  3.    0.087
  4.    0.077
 Discuss Question
Answer: Option C. -> 0.087
Answer: (c).0.087
Question 38. In sampling, the measures such as variance, mean, standard deviation are considered as
  1.    absolute statistics
  2.    coverage estimator
  3.    parameters
  4.    estimators
 Discuss Question
Answer: Option C. -> parameters
Answer: (c).parameters
Question 39. The unknown or exact value that represents the whole population is classified as
  1.    parameters
  2.    estimators
  3.    absolute statistics
  4.    coverage estimator
 Discuss Question
Answer: Option A. -> parameters
Answer: (a).parameters
Question 40. The methods in statistics that uses sample statistics to estimate the parameters of the population are considered as
  1.    inferential statistics
  2.    absolute statistics
  3.    coverage statistics
  4.    random sample statistics
 Discuss Question
Answer: Option A. -> inferential statistics
Answer: (a).inferential statistics

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