Loyola College M.Sc. Zoology April 2009 Statistical Applications In Biological Sciences Question Paper PDF Download

      LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034

M.Sc. DEGREE EXAMINATION – ZOOLOGY,MED.LAB.TECH.& BIO MED.INSTR.

YB 45

THIRD SEMESTER – April 2009

ST 3901 – STATISTICAL APPLICATIONS IN BIOLOGICAL SCIENCES

 

 

 

Date & Time: 29/04/2009 / 9:00 – 12:00  Dept. No.                                                 Max. : 100 Marks

 

 

                                                         SECTION – A                    ( 10 x 2 = 20 Marks )          

Answer ALL the Questions. Each Carries TWO marks.

 

 

  1. Define a Statistic and a Parameter.  Give an example for each.
  2. Write any three properties of median.
  3. Calculate Kelly’s Coefficient of  Skewness from the following positional measures:

P10   = 25,     P50   =   150,    P90   = 205.

  1. The first four central moments of a distribution are 0, 2.3, 0.9 and 15.65.  Test the Skewness and Kurtosis of the distribution.
  2. Explain the term Regression Analysis with an example.
  3. What is meant by Statistical Inference?
  4. Describe Sampling Distribution with an example.
  5. Explain the meaning of   95 % Confidence Interval.
  6. Discuss the two types of errors involved in a test procedure.
  7. Write any three types of testing problems in which the Chi – Square Test is useful.

 

SECTION – B                (5 x 8 = 40 Marks)

Answer any FIVE  Questions. Each Carries EIGHT marks.

 

  1. Compute the mean, standard deviation and coefficient of variation for the following data of length (cm ) of  Tilapias :

 

Length         :     5 – 7    7 – 9    9 – 11    11 – 13    13 – 15    15 – 17

No. of Fish :        7         9         12           11             8             3

  1. Describe the following types of correlation:

( a ) Positive and Negative Correlations

( b ) Linear and  Non-Linear Correlations

( c )  Simple, Partial, and Multiple Correlations.

  1. Assume that we conduct an experiment with eight fields planted with corn, having different amount of nitrogen fertilizer.  The resulting corn yields are shown in the table as bags per acre:

Field                Nitrogen ( kg )           Corn yield (Bags / acre )

1                          52                                     62

2                          63                                     53

3                          45                                     51

4                          36                                     25

5                          72                                     79                                                                                                                       6                          65                                     43

7                          47                                     60

8                          25                                     33                     

 

Let nitrogen be denoted by X and corn yield by Y.  Fit a regression equation of Y on X.

 

 

 

  1. In a health survey of school children it is found that the mean haemoglobin level of 55 boys is 10.2g / 100 ml with a standard deviation of 2.1.  Can we consider this group as taken from a population with a mean of 11.0g / 100 ml?

 

  1. In a hearing survey among 246 town school children, 36 were found with hearing loss and among 349 village school children, 61 were found with hearing loss.  Does this present any evidence that hearing loss is as common among town children as among village children?

 

  1. Twelve pre-school children were given a supplement of multipurpose food for a period of four months.  Their skin fold thickness ( in mm ) was measured before the commencement of the programme and also at the end.  The values obtained are given below.  Test if there is any significant change in their skin fold thickness at 5% level of significance.

Serial                       Skin fold thickness ( mm )

    (Child) No.           At the beginning         At the end

1                               6                               8

2                               8                               8

3                               8                             10

4                               6                               7

5                               5                               6

6                               9                             10

7                               6                               9

8                               7                               8

9                               6                               5

10                               6                               7

11                               4                               4

12                               8                               6

 

 

  1. Fasting blood glucose level and Systolic blood pressure in 10 diabetics are given below.  Calculate rank correlation coefficient.

Serial No.           Fasting blood                         Systolic BP

of patient            glucose level ( mg / dl )         level ( mmHg )

1                                 90                                   136

2                                 92                                   140

3                                 98                                   142

4                               112                                   130

5                               120                                   148

6                               121                                   135

7                               126                                   150

8                               132                                   170

9                               143                                   145

10                               145                                   165

 

 

  1. State the five assumptions to be checked before carrying out any analysis of  variance

 

 

 

 

SECTION – C                 ( 2 x 20 = 40 Marks )

Answer any TWO  Questions. Each Carries TWENTY marks.

 

  1. The following are scores made on an intelligence test by a group of children who

participated  in an experiment:

114 115 113 112 113 132 130 128 122 121
126 117 115 88 113 90 89 106 104 126
127 115 116 109 108 122 123 149 140 121
137 120 138 111 100 116 101 111 110 137
119 115 83 109 117 118 110 108 134 118
114 142 120 119 143 133 85 117 147 102

From these data construct :

( a ) A frequency distribution.

( b ) A relative frequency distribution.

( c ) A histogram.

( d ) A frequency polygon.

 

  1. Find the multiple linear regression equation of X1 on X2 and X3 from the data        relating to three variables given below:

X1   :     4          6          7          9         13         15

X2   :   15        12          8          6          4           3

X3   :   30        24        20        14        10           4

 

  1. The following table gives the frequency, according to groups of marks obtained by 67 students in an intelligence test.  Measure the degree of relationship

between age and test marks:

          Age     in       years                 

Test Marks                     18       19         20         21

200 – 250                       4        4           2            1

250 – 300                       3        5           4            2

300 – 350                       2        6           8            5

     350 – 400                       1        4           6           10

 

  1. In a study of the effect of glucose on insulin release, specimens of pancreatic tissue from experimental animals were randomly assigned to be treated with one of five different stimulants.  Later, a determination was made on the   amount of insulin released.  Test whether there is a significant difference    among the five treatments with respect to the mean amount of insulin released.

I n s u l i n          R e l e a s e d 

STIMULANT

1                2                3                4                 5

1.53         3.15           3.89            8.18            5.86

1.61         3.96           3.68            5.64            5.46

3.75         3.59           5.70            7.36            5.69

2.89         1.89           5.62            5.33            6.49

3.26         1.45           5.79            8.82            7.81

1.56           5.33            5.26            9.03

7.10            7.49

                                                                        8.98

 

 

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