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Class FYBBI sem 1, SUB QM, Q1. The types of frequency distribution are, A., B., C., D., , 3, 4, 5, 2, Q2. The minimum value in the class limit is called, , A., B., C., D., , primary limit, upper limit, lower limit, secondary limit, Q3. The total of frequency up to an upper class limit or boundary is known as, , A., B., C., D., , average frequency, cumulative frequency, frequency distribution, frequency polygon, , Q4. The data presented in the form of frequency data is known as, A., B., C., D., , grouped data, ungrouped data, secondary data, calculated data, , Q5 A tabular arrangement for classifying data into different groups is called, A., B., C., D., , standard deviation, frequency distribution, class mn, arithmetic mean

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Q6 A bar chart constructed in which the area of each bar is proportional to the number, of items in each group is known as, A., B., C., D., , pi chart, histogram, frequency distribution table, polygon, Q7 The table which shows the frequency of each score is called a, , A., B., C., D., , polygon, pi chart, histogram, frequency distribution table, , Q8 A many sided closed figure used in frequency distribution is termed as, A., B., C., D., , frequency polygon, frequency hexagon, frequency pentagon, frequency decagon, Q9 Frequency polygon is constructed by plotting frequencies against their, , A., B., C., D., , standard deviations, class marks, variances, means, , Q10. The number of times each value appears is called the value's, A., B., C., D., , range, mode, frequency, standard Deviation, , Q11 Any measure indicating the centre of a set of data, arranged in an increasing or decreasing, order of magnitude, is called a measure of:, (a) Skewness

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(b) Symmetry, (c) Central tendency, (d) Dispersion, , No12 Scores that differ greatly from the measures of central tendency are called, , (a) Raw scores, (b) The best scores, (c) Extreme scores, (d) Z-scores, , Q13. The measure of central tendency listed below is:, (a) The raw score, (b) The mean, (c) The range, (d) Standard deviation, , Q14The total of all the observations divided by the number of observations is called:, (a) Arithmetic mean, (b) Geometric mean, (c) Median, (d) Harmonic mean, , Q15. The population mean µ is called:, (a) Discrete variable, (b) Continuous variable

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(c) Parameter, (d) Sampling unit, Q16The arithmetic mean is highly affected by:, (a) Moderate values, (b) Extremely small values, (c) Odd values, (d) Extremely large values, Q17 If a constant value is added to every observation of data, then arithmetic mean is obtained, by:, (a) Subtracting the constant, (b) Adding the constant, (c) Multiplying the constant, (d) Dividing the constant, , Q18. Which of the following statements is always true?, (a) The mean has an effect on extreme scores, (b) The median has an effect on extreme scores, (c) Extreme scores have an effect on the mean, (d) Extreme scores have an effect on the median, , Q19. When the values in a series are not of equal importance, we calculate the:, (a) Arithmetic mean, (b) Geometric mean, (c) Weighted mean, (d) Mode, Q20The suitable average for qualitative data is: (a) Mean, (b) Median

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(c) Mode, (d) Geometric mean, Q21We must arrange the data before calculating:, (a) Mean, (b) Median, (c) Mode, (d) Geometric mean, , Q22Sum of absolute deviations of the values is least when deviations are taken from:, (a) Mean, (b) Mode, (c) Median, (d) Q3, Q25 The lower and upper quartiles of a symmetrical distribution are 40 and 60 respectively. The, value of median is:, (a) 40, (b) 50, (c) 60, (d) (60 – 40) / 2, , Q26. The scatter in a series of values about the average is called:, (a) Central tendency, (b) Dispersion, (c) Skewness, (d) Symmetry

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Q27. The measures used to calculate the variation present among the observations in the unit, of the variable is called:, (a) Relative measures of dispersion, (b) Coefficient of skewness, (c) Absolute measures of dispersion, (d) Coefficient of variation, , Q28 The degree to which numerical data tend to spread about an average value called:, (a) Constant, (b) Flatness, (c) Variation, (d) Skewness, Q29. The measures of dispersion can never be:, (a) Positive, (b) Zero, (c) Negative, (d) Equal to 2, Q30 The mean deviation of the scores 12, 15, 18 is:, (a) 6, b) 0, (c) 3, (d)2, , Q31 The sum of squares of the deviations is minimum, when deviations are taken from:, (a) Mean, (b) Mode

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(c) Median, (d) Zero, Q32 If the dispersion is small, the standard deviation is:, (a) Large, (b) Zero, (c) Small, (d) Negative, Q33The variance is zero only if all observations are the:, (a) Different, (b) Square, (c) Square root, (d) Same, , Q34 The first and second moments about arbitrary constant are -2 and 13 respectively, The, standard deviation will be:, (a) -2, (b) 3, (c) 9, (d) 13, , Q35First two moments about the value 2 of a variable are 1 and 16. The variance will be:, (a) 13, (b) 15, (c) 16, (d) Difficult to tell, Q36.If the points on the scatter diagram show no tendency either to increase together or, decrease together the value of r will be close to: \, (a) -1 (

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b) +1, (c) 0.5, (d) 0, Q37The value of the coefficient of correlation r lies between:, (a) 0 and 1, (b) -1 and 0, (c) -1 and +1, (d) -0.5 and +0.5, , Q38. The arithmetic mean of the two regression coefficients is greater than or equal to:, (a) -1, (b) +1, (c) 0, (d) r, Q39 The term regression was used by:, (a) Newton, (b) Pearson, (c) Spearman, (d) Galton, , Q40.In correlation problem both variables are:, (a) Equal, (b) Unknown, (c) Fixed, (d) Random, , Q41. Mutually Exclusive events ___________, a) Contain all sample points

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b) Contain all common sample points, c) Does not contain any sample point, d) Does not contain any common sample point, , Q42. A table with all possible value of a random variable and its corresponding, probabilities is called ___________, a) Probability Mass Function, b) Probability Density Function, c) Cumulative distribution function, d) Probability Distribution, Q43. A variable that can assume any value between two given points is called, ___________, a) Continuous random variable, b) Discrete random variable, c) Irregular random variable, d) Uncertain random variable, 44. If a variable can certain integer values between two given points is called, ___________, a) Continuous random variable, b) Discrete random variable, c) Irregular random variable, d) Uncertain random variable, Q45. The expected value of a discrete random variable ‘x’ is given by ___________, a) P(x), b) ∑ P(x), c) ∑ x P(x), d) 1, , Q46. A set of logical and mathematical operations performed in a specific sequence is called, a(n), A) Complete enumeration., B) Diagnostic analysis., C) Algorithm., D) Objective, Q47 . A pessimistic decision making criterion is, A) maximax.

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B) equally likely, C) maximin., D) decision making under certainty, , Q48In decision making under ________, there are several possible outcomes for each, alternative, and the decision maker knows the probability of occurrence of each outcome., A) Risk, B) Utility, C) Certainty, D) Probability, , Q49. Subjective probability assessments depend on, A) The total number of trials., B) The relative frequency of occurrence., C) The number of occurrences of the event., D) Experience and judgment., , Q50. What makes the difference between good decisions and bad decisions?, A) A good decision is based on logic., B) A good decision considers all available data, .C) A good decision considers all alternatives, .D) A good decision applies quantitative approaches., , Q51. A measurable quantity that is inherent in the problem is called a(n), A) Decision variable., B) Uncontrollable variable., C) Algorithm., D) Parameter.

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Q52. An analytic and systematic approach to the study of decision making is referred to as, A) Decision making under risk., B) Decision making under uncertainty., C) Decision theory., D) Decision analysis, , Q53. What makes the difference between good decisions and bad decisions?, A) A good decision is based on logic, B) .B) A good decision considers all available data., C) C) A good decision considers all alternatives., D) D) A good decision applies quantitative approaches., , Q54.Expected monetary value (EMV) is, A) The average or expected monetary outcome of a decision if it can be repeated a large number, of times., B) The average or expected value of the decision, if you know what would happen ahead of time, .C) the average or expected value of information if it were completely accurate., D) The amount you would lose by not picking the best alternative., Q55. If E(x) = 2 and E(z) = 4, then E(z – x) =?, A) 2, b) 6, c) 0, d) insufficient data