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PART-A 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Last date to submit , on or before 25th september ASSINMENT-II 11MA208 Write the measures of Kurtosis. Write the mean of binomial distribution. Write the r th moment about the origin. Write the angle between two lines of regression. Define skewness. Give the range of the correlation coefficient r. What will be the mean for the Binomial distribution? Define correlation. Comment on the following: For a binomial distribution mean = 7 and variance = 11. Calculate y when x =70 from the data given below, given r = 0.8 mean SD 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. x 65 2.5 y 67 3.5 What do you mean by level of significance? Rejecting a null hypothesis when it is true leads to Type-I error. (Say True or False) The number of degree of freedom for chi-square computed for a 5x4 contigency table is _______________. Define standard error. Define Type I and Type II errors. The region which leads to the acceptance of null hypothesis is critical region. (Say True or False) Give the test statistic to test the significance difference between the sample mean and population mean in the case of small sample test Rejecting a null hypothesis when it is true leads to Type-I error. (Say True or False). The mean score of a random sample of 60 students is 145 with a SD of 40. Find the 95% confidence limit for the population mean. The means of 2 large samples 1000 and 2000 members are 67.5 and 68.0 inches, the samples are taken from a population with s.D 2.5 inches. Find the test schedule. State the assumptions made for student’s t – test. The range if t-distribution is ___________. The test statistic of F distribution is __________. In a 5 x 4 contingency table the number of degrees of freedom is The first two moments of a distribution about the value 2 of a variable are 1 and 16.Show that the mean is 3 and the variance is 15. Part-B 26. The first four moments of a distribution about the value 4 of the variable are -1.5, 17, -30 and 108. Find the moments about mean. Also calculate the mean and 1.and Calculate the rank colatirreon coefficient for the following data of marks of students in two subjects. Mark in first subject Mark in second subject 29 28 17 15 20 26 26 25 34 19 25 15 20 22 35 10 40 28 14 30 27. Calculate the correlation coefficient for the following data. X: 55 56 58 59 60 60 62 Y: 35 38 37 39 44 43 44 28. Calculate the rank correlation coefficient for the following data. X: 68 64 75 50 64 80 75 40 55 Y: 62 58 68 45 81 60 68 48 50 29.Heights of father and sons are given in centimeters 64 70 X: 150 152 155 157 160 161 164 166 Y: 154 156 158 159 160 162 161 164 Find the two lines of regression and calculate the expected average height of the son when the height of the father is 154cm 30.The two regression lines are 3x + 2y = 26 and 6x + y = 31. Find the means x and y and also the co-efficient of correlation between x and y. 31. A car hire firm has two cars which it hires out day by day. The number of demands for a car on each day is distributed as poisson variate with mean 1.5.Calculate the proportion of days on which (i) Neither car is used (ii) some demand is refused. 32.Fit a poisson distribution to the following data and calculate the theoretical Frequencies. x: 0 1 2 3 4 f: 43 38 22 9 1 33.In a normal distribution 31% of the item are under 45 and 8% are over 64. Find the mean and the standard deviation. 34. The following table gives a classification of a sample of 160 plants of their flower colour and flatness of leaf. Flat leaves Curled leaves Total White flower 99 36 135 Red flower 20 5 25 Total 119 41 160 Test whether the flower colour is independent of the flatness of leaf. 35. During a countrywide investigation, the incidence of T.B was found to be 1% .In a college 400 strong 5 were affected, whereas in another 1200 strong, 10 were affected. Does this indicate any significant difference? 36. A group of 10 rats fed on diet A and another group of 8 rats fed on a different diet B, recorded diet B, recorded the following increase in weight Diet A(gms): 5 6 8 1 12 4 3 9 6 10 Diet B(gms): 2 3 6 8 1 10 2 8 Find if the variance are significantly different. 37.A die was thrown 9000 times and of these 3220 yielded a 3 or 4. Is this consistent with hypothesis that the die was unbiased? 38.Two random samples drawn from normal populations are 10, 6, 16, 17, 13, 12, 8, 14, 15, 9 and 7, 13, 22, 15, 12, 14, 18, 8, 21, 23, 10, 17. Test whether the two populations have the same variance. 39.A machinist is making engine parts with axle diameter of 0.700 inch. A random sample of 10 parts shows a mean diameter of 2.74 inch with a standard deviation of 0.4 inch. On the basis of this sample, would you say that the work is inferior? 40.The theory predicts the proportion of beans in the four groups A, B, C and D should be 9:3:3:1. In an experiment among 1600 beans, the numbers in the four groups were 882, 313, 287 and 118. Does the experimental result support the theory? 41. In one sample of 8 observations the sum of the squares of deviations of the sample values from the sample mean was 84.4 and in the other sample of 10 observations it was 102.6. Test whether this difference is significant at 5 percent level. 42.Random samples drawn from two countries gave the following data relating to the heights of adult males: Country A Country B Mean heights 67.42 67.25 Standard deviation 2.58 2.50 Number in samples 1000 1200 Is the difference between the means significant? 43.Two independent sample of sizes 7 and 9 have the following values: Sample A :10 12 10 13 14 11 10 Sample B: 10 13 15 12 10 14 11 12 11 Test whether the difference between the mean is significant. 44.The number of automobile accidents per week are as follows: 12, 8, 20, 14, 10, 15, 6, 9, 4, 15. Are there frequencies in agreement with the belief that accident conditions were the same during this 10 week period 45.In a locality of 100 persons the following observations are made reference to their educational achievements Middle School High School Male : 10 15 Female : 25 10 Can you say that education depends on sex?