STA301 Final Term Solved MCQs with References Set 2 by Moaaz

Solved MCQS From Midterm Papers · Feb 02,2013 · PSMD01 · Spring 2012

Q1. For a particular data the value of Pearson’s coefficient of skewness is greater then zero. What will be the shape of distribution? (1 marks)

1. Negatively skewed
2. J-shaped
3. Symmetrical
4. Positively skewed (Page 109)

Q2. In measures of relative dispersion unit of measurement is: (1 marks)

1. Changed
2. Vanish
3. Does not changed
4. Dependent

Q3. (1 marks)

1. 0 to 1
2. 0 to -∞
3. -∞ to +∞
4. 0 to +∞ (Page 312)

Q4. In chi-square test of independence the degrees of freedom are: (1 marks)

1. n - p
2. n - p-1
3. n - p- 2
4. n – 2

Q5. The Chi- Square distribution is continuous distribution ranging from: (1 marks)

1. -∞ ≤ χ2≤ ∞
2. -∞ ≤χ2 ≤1
3. -∞ ≤χ2 ≤0
4. 0 ≤ χ2≤ ∞ (Page 307)

Q6. E X (1 marks)

Y

E X E Y

E X E Y

(Page 202)

X E Y

E X Y

Q7. If ŷ is the predicted value for a given x-value and b is the y-intercept then the equation of a regression line for an independent variable x and a dependent variable y is: (1 marks)

1. ŷ = mx + b, where m = slope (Page 121)
2. x = ŷ + mb, where m = slope
3. ŷ = x/m + b, where m = slope
4. ŷ = x + mb, where m = slope

Q8. The location of the critical region depends upon: (1 marks)

1. Null hypothesis
2. Alternative hypothesis (Page 281)
3. Value of alpha
4. Value of test-statistic

Spring 2012

Q1. The t-Distribution is……………. Spread out then the standard normal Distribution. (1 marks)

1. Less
2. More (Page 293)
3. Equally
4. Not

Correct answer: More (Page 293)

Q2. To find the confidence internal for the ratio of two variances we use: (1 marks)

1. F-Distribution (Page 311)
2. Z-Distribution
3. Chi-Square Distribution
4. T-Distribution

Correct answer: F-Distribution (Page 311)

Q3. How many percent of values are less then 4th deciles in a symmetric distribution. (1 marks)

1. 14
2. 24
3. 4
4. 40 (Page 70)

Correct answer: 40 (Page 70)

Q4. The combined distribution of more than two random variables is: (1 marks)

1. Bivariate Distribution
2. Marginal Distribution
3. Joint Distribution (Page 194)
4. Univariate Distribution

Correct answer: Joint Distribution (Page 194)

Q5. (1 marks)

1. 14
2. 13 (Page 341)
3. 7
4. 0

Correct answer: 13 (Page 341)