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CUSTOMER_CODE SMUDE DIVISION_CODE SMUDE EVENT_CODE APR2016 ASSESSMENT_CODE BCA1030_APR2016 QUESTION_TYPE DESCRIPTIVE_QUESTION QUESTION_ID 4985 QUESTION_TEXT Show that ~(p ∧ q) is logically equivalent to (~p) ∨ (~q). Truth table for ~(p ^ q) pqp^q~(p^q) TTTF TFFT FTFT FFFT SCHEME OF EVALUATION Truth table for (~p)V(~q) pq~p~q(~p)V(~q) TTFFF TFFTT FTTFT FFTTT Now observe that the entries in the last column of both the tables are same. Hence, the statements are logically equivalent. QUESTION_TYPE DESCRIPTIVE_QUESTION QUESTION_ID 4987 QUESTION_TEXT a.Find the probability that at least one head appears in a throw of 3 unbiased coins. b.An article consists of two parts A and B. The probabilities of defects in A and B are 0.08 and 0.04. What is the probability that the assembled part will not have any defect? c.The mean of marks scored by 30 girls of a class is 44%. The mean of 50 boys is 42%. Find the mean for the whole class. SCHEME OF EVALUATION a.The possible outcomes are: HHH, HHT, THH, HTH, HTT, TTH, THT, TTT The probability that at least one head appears=7/8 b.Let x and y be the events that A and B do not have any defect respectively. P(x)=0.92 and P(y)=0.96 Assuming independence, Probability that the assembled part will not have any defect=P(x)*P(y)=0.92*0.96=0.8832 c.Here n1=30, n2=50 Mean marks of boys=42% Mean marks of girls=44% Therefore the mean for the whole class =[(30*44)+(50+42)]/(30+50)=(1230+2100)/80=42.75% QUESTION_TYPE DESCRIPTIVE_QUESTION QUESTION_ID 4989 QUESTION_TEXT i.Mention any 6 qualities of an ideal measure of tendency. ii.Write any 4 merits of Arithmetic mean. SCHEME OF EVALUATION 6 qualities of an ideal measure of tendency: 1.It should be easy to understand. Its computation procedure should be simple. 2.It should be rigidly defined. 3.It should be based on all the vales. 4.It should be capable of further algebraic treatments. 5.It should not be affected by extreme values. 6.It should be stable. That is the measure should be such that sampling variation in the value of the measure should be least. 4 merits of Arithmetic mean: 1.It is rigidly defined. 2.The logic behind the computation is easy to understand. 3.It can be easily adopted for further statistical analysis. 4.It is based on all the values. QUESTION_TYPE DESCRIPTIVE_QUESTION QUESTION_ID 72349 QUESTION_TEXT What is a matrix? Write four properties of determinants. SCHEME OF EVALUATION A matrix is a rectangular array of numbers arranged as m horizontal lists called rows, each list having n elements, the vertical lists are called columns. Four properties of determinants are: (i) If two rows or columns of a determinant are interchanged then the value of the determinant is unchanged but the sign is changed (ii) If each element of any row or column of a determinant is a multiple of K, the whole determinant is multiplied by K. (iii) If two rows or two columns of a determinant are identical, the value of the determinant is zero. (iv) If any row or column of a determinant is the sum of two or more terms, the determinant can be expressed as the sum of two determinants. QUESTION_TYPE DESCRIPTIVE_QUESTION QUESTION_ID 72353 QUESTION_TEXT Briefly define the following : i. Standard deviation ii. Uses of standard deviation iii. Variance iv. Two merits of standard deviation v. Two demerits of standard deviation SCHEME OF EVALUATION (i) Standard deviation: Standard deviation is the root mean square deviation of the value from their arithmetic mean. Standard deviation is the positive square root of variance. Uses of standard deviation : Standard deviation is the best absolute measure of dispersion. It is a part of many statistical concepts such as skewness, kurtosis, correlation, regression, estimation sampling, test of significance and statistical quality control. Variance: Variance is the mean square deviation of the values from their arithmetic mean. Standard deviation is the positive square of variance. Two merits of standard deviation: i. It is calculated on the basis of the magnitudes of all the items. ii. The combined standard deviation can be calculated further. Two demerits of standard deviation: i. Compared with other absolute measures of dispersion, it is difficult to understand. ii. It gives more weightage to the items away from the mean that those near the mean as the deviations are squared. QUESTION_TYPE DESCRIPTIVE_QUESTION QUESTION_ID 72354 QUESTION_TEXT Define convergence and divergence of the series and explain 3 general properties of series. SCHEME OF EVALUATION A series is called convergent if the sequence of its partial sums has a finite limit; this limit is termed as the sum of the convergent series. If a sequence of its partial derivatives has no finite limit, then the series is called divergent. A divergent series has no sum. General properties of series: 1. The converge or diverge of an infinite series remains unaffected by addition of removal of a finite number of terms; for the sum of these terms belong the finite quantity addition of removal does not change the nature of its sum. 2. If as series in which all the terms are positive is convergent, the series remains convergent even when some or all of its terms are negative; for the sum is clearly the greatest when all the terms are positive. 3. The convergence or divergence of an infinite series remains unaffected by multiplying each term by a finite number.