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STA301 Midterm Past Papers by Junaid

Statistics and Probability PDF 2.6 MBUpdated 23 Oct 2026
Midterm past paper STA301 Midterm Past Papers by Junaid PDF 2.6 MB
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Midterm past paper
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STA301 Statistics and Probability
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PDF 2.6 MB
Updated
23 Oct 2026
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Text from pages 2, 3, 4 of 64. Download the file for all 64 pages.

A histogram is consisting of a set of a set of adjacent rectangle whose bases are marked off by:

a. Class boundaries (Lecture no 4 Page no 32 Handouts)

b. Class limits c. Class frequency d. Class marks

The middle value of an ordered array of numbers is the

a. Mean

b. Median (Lecture no 7 Page no 59 Handouts)

c. Mode d. Midpoint

If Mean =25 & S.D is 5 then C.V is:

a. 100%

b. 20% (Lecture no 11 Example Page no 88 Handouts)

c. 10% d. 25%

Solution: C.V = (S.D/X) x 100 = (5/25) x 100 = 20% Answer

you connect the mid-points of rectangles in a histogram by a series of lines that also touches the x-axis from both ends, you will get:

a. Ogive b. Frequency polygon

c. Frequency curve page 38

d. Historigram

The conditional probability P (A/B) is:

a. P (A n B)/P (B) (Lecture no 20 Page no 154 Handouts)

b. P (A n B)/P (A) c. P (A U B)/P (B) d. P (A U B)/P (A)

Serious disadvantage of using range as a measure of dispersion is that it is based on only:

a. Minimum Values b. Maximum Values c. Both Minimum and Maximum values

d. None of the above

Frequency of a variable is always in:

a. Fraction form b. Percentage form c. Less than form

d. Integer form

5C5 is equal to

a. 5

b. 1

c. 10 d. 24

Chebychev’s inequality does not hold for k = ?

  1. 3
  2. 2
  3. 1
  4. 0 (Lecture no 12 Page no 94 Read CHEBYCHEV’S THEOREM)

Correct answer: 0 (Lecture no 12 Page no 94 Read CHEBYCHEV’S THEOREM)

If A = {1,2,3,4} and B = {3,4,5,6} then A – B will be:

a. {1,2}

b. {3,4} c. {3,2,1} d. {1,2,3,4,5,6}

If P (B|A) = 0.25 and P (A and B) = 0.20, then P (A) is

a. 0.05

b. 0.80

c. 0.95 d. 0.75

Solution: P (B|A) = [P (A and B)] / P (A) P (A) = [0.20 / P (B|A)] P (A) = [0.20 / 0.25]

P (A) = 0.80

According to Empirical rule, approximately 68% of the measurements will fall within:

a. (Mean - S.D, Mean + S.D) (Lecture no 12 Page no 90 Handouts)

b. (Mean - 2S.D, Mean + 2S.D) c. (Mean - 3S.D, Mean + 3S.D) d. None of these

For Platykurtic distribution, b2 (moment ratio) will be:

a. Greater than 3

b. Less than 3 (Lecture no 14 Page no 114 Handouts)

c. Equal to 3 d. Equal to zero

There are two broad categories of data, which are:

a. Weighted and Un-weighted b. Grouped and Un-grouped

c. Qualitative and Quantitative (Lecture no 3 Page no 16 Handouts)

d. Primary and Secondary

In a linear regression, Y= a+bX , the variable “Y” will always:

a. A random variable (Lecture no 15 Page no 117 Handouts)

b. A non-random variable c. Qualitative variable d. Quantitative variable

In regression line Y= a+bX , X is called:

a. Dependent variable

b. Independent variable (Lecture no 15 Page no 116 Handouts)

c. Explained variable d. Regressand

Difference between the largest and the smallest data values is called

a. variance b. interquartile range

c. range

d. coefficient of variation

The extremely positively skewed curve is also known as:

a. Frequency curve b. U-shaped curve c. J-shaped curve

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