Quantitative techniques principles


Question 1:

a) Write a brief note on spatial and temporal data.

b) Compute standard deviation and variance for the given data. The table shows the number of students falling in various classes according to the marks obtained in the Geography paper.

2296_standard deviation.jpg

Question 2:

a) Write a note on the skewness and kurtosis.

b) In an area of stony waste the mean size of the class was 16 mm with standard deviation of 2 mm. If the sample of class is chosen at random, find out the probability that it will have a size:

• Between 10 mm and 21 mm
• More than 18 mm
• Exactly 10 mm
• At least 17 mm

Question 3:

a) Explain the Binomial Probability of the Distribution.

b) The given table gives decadal population of India. By using least square method, obtain best fit equation. Estimate the population of India for 2011.

2096_binomial probability distribution.jpg

(Population in millions)

 

Question 4:

a) Write properties of time series.

b) The table gives data of number of trees (X) and moisture contain in the soil (Y) of a species in randomly chosen quadrants. Determine the Pearson’s product moment correlation coefficient. Test the level of importance at 0.05 and interpret the value.

1298_pearsons product.jpg

Question 5: A sample survey of 200 university students was taken out to know their opinion regarding the student representative on University Management Council. Apply the Chi square test to test the hypothesis at 0.05 level of importance to know whether there is important difference in opinion among the three groups.

1190_chi square test.jpg

Question 6: The given data represents rainfall in cm (X) and yield of paddy in quintals (Y) per hectare in a district. Find out regression equation for the data. Compute explained variance and residuals from regression equation and comment on it.

31_regression equation.jpg

Question 7: Write brief notes on any two:

a) Concept of residuals and explained variance.
b) Unbiased random sample.
c) Grouped and ungrouped data.

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Basic Statistics: Quantitative techniques principles
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