MTH302 Final Term 7 Solved Papers by Chanda Rehman

SOLVED BY CHANDA REHMAN · Paper 1 · FINALTERM EXAMINATION

Fall 2009

MTH302- Business Mathematics & Statistics

Time: 120 min Marks: 80

Q1. In regression analysis, when we plot the values of dependent and independent variables, the resulting set of points is called (1 marks)

1. Scatter Diagram
2. Venn diagram
3. Histogram
4. Pie Graph

Q2. If all the points in the scatter diagram seem to lie near a line, the correlation is said to be (1 marks)

1. Quadratic
2. Linear
3. Positive
4. Negative

If the points plotted on the Scatter Diagram are randomly scattered, ... that the two sets of measurements have no correlation and cannot be said to be related in any way. ... In a perfect correlation, all points lie on a straight line. ...

Q3. Equation of line having slope 0 and passing through the point A (0, 1) is (1 marks)

Xo-Hussain.MCS

1. Y =1
2. Y-1= X
3. X=1
4. X-1= 2(Y+1)

A(0,1) then y=1+0x then y=1

Q4. If the price of an English novel decreases from Rs 255.50 to Rs 230.25. What is the percentage decrease? (1 marks)

1. 8.9 %
2. 9.9 %
3. 10.9%
4. 11.9 %

Ref: Change = Final value-initial value · Change = 255.50-230.25=25.25 · So percentage change = (change/initial value)*100% · Percentage change = (25.25/230.25)*100 =10.9%

Q5. A statistical measure of the variability of a distribution around its mean is referred to as (1 marks)

1. A probability distribution
2. The standard deviation correct
3. The expected return
4. Coefficient of variation

Q6. What is the interest on Rs. 1600 for one year at the rate 3 ½ %? (1 marks)

1. 65
2. 56
3. 75
4. 90

Ref: rate= 0.035 so 1600*0.035=56

Q7. If the CORRELATION function returns the #DIV/0 ! error value, what is the possible reason of the error? (1 marks)

1. Array1 and Array2 have different number of data points.
2. Either Array1 or array2 is empty.
3. Array or reference argument contains text, logical values or empty cells.
4. The arguments are names, arrays, or references that contain numbers.

Ref: page 216

Q8. The measure of how well the regression line fits the data is the: (1 marks)

1. coefficient of determination
2. slope of the regression line
3. mean square error
4. standard error of the regression coefficient

Correct answer: coefficient of determination

Ref: see page 20 in this link