STA301 Final Term Solved MCQs

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

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

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

Correct answer: Positively skewed (Page 109)

In measures of relative dispersion unit of measurement is:

1. Changed
2. Vanish
3. Does not changed
4. Dependent
5. 0 to 1
6. 0 to -∞
7. -∞ to +∞
8. 0 to +∞ (Page 312)

In chi-square test of independence the degrees of freedom are:

1. n - p
2. n - p-1
3. n - p- 2 not confirm, actually the degree of freedom of chi square distribution is v=(r-1)(c-1)
4. n – 2

The ChiSquare distribution is continuous distribution ranging from:

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

Correct answer: 0 ≤ χ2≤ ∞ (Page 307)

E ( X −Y )

E ( X ) + E(Y )

E ( X ) − E(Y )

X − E (Y )

E ( X ) −Y

(Page 202)

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. 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

Correct answer: ŷ = mx + b, where m = slope (Page 121)

The location of the critical region depends upon:

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

Correct answer: Alternative hypothesis (Page 281)

Spring 2012

The t-Distribution is ..................... Spread out then the standard normal Distribution.

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

Correct answer: More (Page 293)

To find the confidence internal for the ratio of two variances we use:

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

Correct answer: F-Distribution (Page 311)

How many percent of values are less then 4th deciles in a symmetric distribution.

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

Correct answer: 40 (Page 70)

The combined distribution of more than two random variables is:

1. Bivariate Distribution
2. Marginal Distribution
3. Joint Distribution (Page 194)
4. Univariate Distribution
5. 14
6. 13 (Page 341)
7. 7
8. 0