IGNOU MST004 Solved Assignment 2022
 AUTHOR: Narendra Kr. Sharma
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IGNOU MST004 Solved Assignment 2022
MST004 Solved Assignment is an ebook for students who want to specialise in statistics. This completed assignment will allow them to assess their degree of preparation and will be extremely beneficial. All questions and concerns have been addressed and clarified. As a result, students will comprehend the concepts of any question in the assignment.
Assignment Paper 
IGNOU MST004 Solved Assignment 2022 
Subject Name 
Statistical Inference 
No.of Pages in Solution 
34 
Course 
PGDAST 
Language 
ENGLISH 
Session 
2022 
Last Date for Submission of Assignment 
For June Examination 31st March 2022 or as per dates given in the Ignou website For December Examination 30th September 2022 or as per dates given in the Ignou website 
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IGNOU MST004 Sample Solution 2022
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IGNOU MST004 Solved Assignment 2022
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IGNOU MST004 Assignment Question Paper 2022
(Statistical Inference)
MST004: Statistical Inference
Note: All questions are compulsory. Answer in your own words. 1.State whether the following statements are True or False. Give reason in support of your answer: (a) If the probability of non rejection of H_{0} when H_{1} is true is 0.4 then power of the test will be 0.6. (b) If T_{1} and T_{2} are two estimators of the parameter θ such that Var(T_{1}) = 1/n and Var(T_{2}) = n then T_{1} is more efficient than T_{2}. (c) A 95% confidence interval is smaller than 99% confidence interval. (d) If the level of significance is the same, the area of the rejection region in a twotailed test is less than that in a onetailed test. (e) Non parametric tests are more powerful than the parametric tests. 2. If a finite population has four elements: 6, 1, 3, 2. (a) How many different samples of size n = 2 can be selected from this population if you sample without replacement? (b) List all possible samples of size n = 2. (c) Compute the sample mean for each of the samples given in part b. (d) Find the sampling distribution of x and draw the histogram. (e) Compute standard error. (f) If all four population values are equally likely, calculate the value of the population mean μ . Do any of the samples listed in part (b) produce a value of x exactly equal to μ? 3. A study was conducted to compare the mean numbers of police emergency calls per 8hour shift in two districts of a large city. Samples of 100 8hour shifts were randomly selected from the police records for each of the two regions and the number of emergency calls was recorded for each shift. The sample statistics are listed here:
Find a 90% confidence interval for the difference in the mean numbers of police emergency calls per shift between the two districts of the city. Interpret the interval. 4. A bond proposal for school construction will be submitted to the voters at the next municipal election. A major portion of the money derived form this bond issue will be used to build schools in a rapidly developing selection of the city, and the remainder will be used to renovate and update school buildings in the rest of the city. To assess the viability of the bond proposal, a random sample of n_{1} =50 residents in the developing section and n_{2} =100 residents from the other parts of the city were asked whether they plan to vote for the proposal. The results are tabulated below
(a) Estimate the difference in the true proportions favouring the bond proposal with a 99% confidence interval. (b) If both samples were pooled into one sample of size n = 150, with 103 in favour of the proposal, provide a point estimate of the proportion of city residents who will vote for the bond proposal. 5. The following data relate to the number of items produced per shift by two workers for a number of days:
Can it be inferred that Worker A is more stable worker compared to B by testing the variation in the item produced by them at 5% level of significance. 6. If magnitude of earthquakes recorded in a region of a country follows a distribution with parameter μ whose pdf is given below: \[ f\left(\:x\right)\:=\frac{1}{\sqrt{2\pi \:}}e^{\frac{1}{2}\left(\:xu\right)\:^2}:\:\infty \:\:<x,u\:<\infty \: \] then show that the estimators of the parameter μ using maximum likelihood and method of moments are same. 7. A company plans to promote a new product by using one of three advertising campaigns. To investigate the extent of product recognition from these three campaigns, 15 market areas were selected and five were randomly assigned to each advertising plan. At the end of the ad campaigns, random samples of 400 adults were selected in each area and the proportions who were familiar with new product were recorded. The responses were not approximately normal. Is there a significant difference among the three population distributions from which these samples came? Use an appropriate nonparametric method to answer this question at 5% level of significance.
8. A psychology class performed an experiment to determine whether a recall score in which instructions to form images of 25 words were given differs from an initial recall score for which no imagery instructions were given. Twenty students participated in the experiment with the results listed in the table:
(a) What two testing procedures can be used to test for differences in the distribution of recall scores with and without imagery? What assumptions are required for the parametric procedure? Do these data satisfy these assumptions? (b) Use both the parametric and nonparametric tests for differences in the distributions of recall scores under these two conditions. (c) Compare the results of the tests in part b. Are the conclusions for same? If not, why not? 