ALLAMA IQBAL OPEN UNIVERSITY, ISLAMABAD (Department of Mathematics Statistics) WARNING 1. 2. PLAGIARISM OR HIRING OF GHOST WRITER(S) FOR SOLVING THE ASSIGNMENT(S) WILL DEBAR THE STUDENT FROM AWARD OF DEGREE/CERTIFICATE, IF FOUND AT ANY STAGE. SUBMITTING ASSIGNMENTS BORROWED OR STOLEN FROM OTHER(S) AS ONE’S OWN WILL BE PENALIZED AS DEFINED IN “AIOU PLAGIARISM POLICY”. Course: Statistics-II (395) Level: Intermediate Semester: Autumn, 2015 Total Marks: 100 Pass Marks: 40 ASSIGNMENT No. 1 Q.1 a) b) Q.2 a) b) What is the importance of normal distribution in statistical theory? Describe its properties. The lengths of rods produce in a workshop follow a normal distribution with mean and variance 4. If 10% of the rods are less than 17.4 cm long. Find the probability that a rod chosen at random will be between 18 and 23 cm long. (10+10) What is meant by the sampling distribution of sample proportion? Describe the properties of the sampling distribution of sample proportion. A finite population consists of five values 2, 4, 6, 8 and 10. Take all possible samples of size 2 which can be drawn with replacement from this population. Assuming the 25 possible samples equally likely, construct the sampling distributions of sample means and sample variances and find the mean of these distributions. Calculate the mean and variance of the population and verify that: (10+10) i) Q.3 a) b) Q.4 a) ii. Define Student’s t-statistics. What assumptions are made about the population where the t-distribution is used? The contents of 10 similar containers of a commercial soap are: 10.2, 9.7, 10.1, 10.3, 10.1, 9.8, 9.9, 10.4, 10.3 and 9.8 litres. Find 99% confidence interval for the mean soap content of all such containers, assuming an approximate normal distribution. (10+10) A random sample of 16 values from a normal population showed a mean of 41.5 inches and a sum of squares of deviations from this mean equal to 135 1 b) Q.5 a) b) (inches)2. Show that the 95% confidence limits for this mean are 39.9 and 43.1 inches. In a random sample of 400 adults and 600 teenagers who watched a certain television programme. 100 adults and 300 teenagers indicated that they liked it. Construct 95% and 99% confidence limits for the difference in proportions of all adults and all teenagers who watched the programme and liked it. (10+10) Outline the fundamental procedure followed in testing a null hypothesis. A sample of 400 male students is found to have a mean height of 67.47 inches. Can it be regarded as a simple random sample from a large population with mean height 67.39 with standard deviation of 1.3 inches? (10+10) ASSIGNMENT No. 2 Q.1 a) b) Q.2 a) b) A group of 12 students are found to have the following I.Q.’s: 112, 109, 125, 113, 116, 131, 112, 123, 108, 113, 132, 128 Is it reasonable to assume that these students have come from a large population whose mean I.Q.’s is 115? Another group of 10 students are found to have the following I.Q.’s: 117, 110, 106, 109, 116, 119, 107, 106, 105, 108 Can we conclude that both the groups of students have come from the same population? In a population that has certain minor blood disorder, samples of 100 males and 100 females are taken. It is found that 31 males and 24 females have the blood disorder. Can we conclude at 0.01 level of significance that proportion of men who have blood disorder is greater than proportion of women? (10+10) Explain what is meant by: i) regression ii) regress and iii) regressor Determine the regression line and estimate the weight of a student whose height is 68 inches: Height (inches) xi Weight (pound) yi 72 178 66 141 67 158 69 165 74 180 61 133 66 159 62 140 70 160 63 136 Find also the estimated values for given values of height. Show that the sum of the estimated values is equal to the sum of the observed values of weight. Find the deviations ei = yi – ŷi. Show that these deviations add to zero. (10+10) 2 Q.3 a) b) Differentiate between regression and correlation problems by giving examples. Given that means and variances of two series X and Y are: Mean: Variance: X-series 25 25 Y-series 38 36 The correlation coefficient between X and Y is 0.75. Estimate the most plausible value of Y for x=40 and most plausible value of X for y=58. (10+10) Q.4 a) b) Q.5 a) b) Describe the following terms: i) Secular trend ii) Seasonal variations iii) Cyclical fluctuations iv) Irregular movements The parabolic trend equation for the projects of a company (in thousand rupees) is ŷ = 10.4 + 0.6x + 07x2, with origin at 1980 and unit of measurement for x is one year. Shift the origin to 1975. (10+10) How are computers generally classified? What are the four major categories of computers? Also explain the working of Arithmetic Logical Unit (ALU). What is Binary Number System? What is it used in computer? (10+10) 3