Loyola College B.Sc. Statistics Nov 2008 Statistical Methods Question Paper PDF Download

LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034

   B.Sc. DEGREE EXAMINATION – STATISTICS

BA 01

 

FIRST SEMESTER – November 2008

ST 1500 – STATISTICAL METHODS

 

 

 

Date : 10-11-08                     Dept. No.                                        Max. : 100 Marks

Time : 1:00 – 4:00

 

PART – A                                 (10×2=20)

Answer ALL the questions

  1. What is a census survey?
  2. Identify the scale used for each of the following variables
    1. Calories consumed during the day.
    2. Marital status.
    3. Perceived health status reported as poor, fair, good or excellent.
    4. Blood type
  3. Mention any four measures of dispersion.
  4. Give a measure of kurtosis.
  5. State the principle of least squares.
  6. What is the standard form of growth curves?
  7. When will the regression lines be perpendicular to each other?
  8. If the regression coefficients are b­XY­ = – 0.4 and b­YX­ = – 0.9 find the

correlation coefficient between X and Y.

  1. What is a dichotomous classification?
  2. State the relation between Yule’s coefficient of association and

coefficient of colligation.

 

PART – B                                 (5×8=40)

Answer any FIVE questions

  1. Describe any two methods of collecting primary data along with their

merits and demerits.

  1. Explain the importance of diagrammatic representation of data.
  2. Compute mean and median for the following frequency distribution

Sales target : 10-20     20-30     30-40     40-50     50-60

(Rs.lakhs)

No. of times

achieved  :    6             8           12             9             5

  1. The sum and sum of squares corresponding to length X (in cm) and weight Y (in gms) of 50 tapioca tubers are given below:

∑X = 212, ∑X­­2 = 902.8, ∑Y = 261, ∑­Y­2 = 1457.6

Which is more varying, the length or weight?

  1. Measurements of serum cholesterol (mg/100ml) and arterial calcium deposition (mg/100g dry weight of tissue) were made on 12 animals. The data are as follows:

Calcium

(X)  :  59    52    42    59    24    24    40    32    63    57    36    24

Cholesterol

(Y)  : 298  303  233  287  236  245  265  233  286  290  264  234

Calculate the correlation coefficient.

 

 

 

  1. The equations of the two regression lines obtained in a correlation

analysis are as follows:

3X+12Y = 19, 3Y+9X = 46

Obtain i) the value of correlation coefficient.

  1. ii) Mean values of X and Y.

iii) Ratio of the coefficient of variability of X to that of Y.

  1. What do you understand by consistency of given data? Examine the

consistency of the following data:

N = 1000, (A) = 600, (B) = 500, (AB) = 50, the symbols having their

usual meanings.

  1. In a certain investigation carried on with regard to 500 graduates and 1500 non-graduates, it was found that the number of employed graduates was 450 while the number of unemployed non-graduates was 300.

In the second investigation 5000 cases were examined. The number of

non-graduates was 3000 and the number of employed non-graduates was

  1. The number of graduates who were found to be employed was
  2. Calculate the coefficient of association between graduates and

employment in both the investigations. Can any definite conclusion be

drawn from the coefficients?

PART – C                                 (2×20=40)

Answer any TWO questions

 

  1. Draw a Histogram for the following frequency distribution of output produced by 190 workers in a firm and use it to find an approximate value of the mode. Also verify it using the formula.

Output in units : 300-310   310-320   320-330   330-340   340-350

No. of workers :      9              20             24            38            48

Output in units : 350-360   360-370   370-380

No. of workers :    27              17             7

  1. Calculate a measure of dispersion and a measure of skewness based on quartiles from the following distribution:

Wages (Rs.): below 35    35-37    38-40    41-43    over 43

No.of wage

earners    :        14          60         95          24            7

  1. Consider the following data where x is temperature (in oc) and Y is the number of eggs per cm­2 .

X   :   3        5       8        14       21      25      28

Y   : 2.8     4.9     6.7     7.6      7.2     6.1     4.7

Fit a quadratic equation to these data.

  1. Various dose of a poisonous substance were given to groups of 25 mice and the following results were observed:

Dose(mg):  4      6      8      10      12      14      16

Number

of deaths:   1     3       6      8       14      16      20

Find the equation of the regression lines. Estimate the number of deaths

in a group of 25 mice who receive a 7-milligram dose of this poison.

 

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