aiou code 316 k imp question spring 2013

page # 13,14, 15, 16 tak
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page # 247 say la kar 257 tak
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Note: friends ap sub ya bus yad kar la or assiment wala question inshallahaha ap sub log acha num sa pass ho jay gy .

Aiou code 360 Information Technology Application important Questions Spring 2013

1. describe revolution in IT?
2. What is hardware. and software? explain types of software.
3. Define input and output devices?  explain any five input devices?
4. What is monitors? explain its types.
5. What is printer? explain its types.
6. What is plotter? explain it types.
7. What is computer network? explain its types and advantages.
8. What is topology? explain network topologies.
9. What is osi model? explain different layers of osi model
10. What is data communication? explain its modes.
11. Explain synchronous and asynchronous transmision?
12. What is communication media? explain its types.
13. Explain virus and antivirus?
14. Explain different applications and uses of computers?
15. What is copyright? explain copyright law?
16. What are data protection and privacy issues?
17. What is operating system? explain features of windows operating systems.
18. What is word processing? explain features of word processing.
19. What is spreed sheet? explain its features 
20. What is internet? explain its uses and applications.
21. Describe the role of information technology in promoting primary education?
22. What is computer memory? explain various  a units of computer memory in detail.
23. What is difference between input and output devices? elaborate.
24. What is main purpose of operating system? how you different it from other types of software?
25. Describe the shutting down and booting up process of computer system in detail.
26. Define data communication system. also elaborate its various modes.
27. What is a network topology? write note one any three well known network topology.
28. Describe the purpose of footnote and end note. write procedure for inserting footnote and end note in MS Word document.
29. Make a worksheet having some numerical data. use this data and apply all the basic formals (hints, add, subtract multiply and divide) document your  working in a report?
30. Apply various filtering techniques on data using worksheet filter and explain it?
31. Disuse  the merit and demerit of internet and email?
32. Define data backup how you will protect your valuable data from various attacks?

The Most important Letters

1. Write a letter to your father asking for money to buy books.
2. Write a letter to your father telling him about your progress in studies.
3. Write a letter to your uncle thanking him for a birthday gift.
4. Write a letter to your younger brother advising him to pay more attention to his studies.
5. Write a letter to your friend congratulating him on his success in the examination.
6. Write a letter to your friend inviting him to spend holidays with you.
7. Write a letter  your friend inviting him to attend your elder brother's marriage.
8. Write a letter to your friend inviting him to your birthday party.
9. Write a letter to your friend asking him to lend you his camera, or book, or bicycle, or watch.
10. Write an application to the Headmaster for sick leave.

The most important stories

1. The Thirsty Crow.
2. The Greedy Dog.
3. The Fox and the Grapes.
4. The Fox and the Goat.
5. The Lion  and Mouse.
6. The Hare with many Friends.
7. Honesty is the Best policy.
8. The Foolish stag.
9. The Donkey and the Load of salt.
10. Union in Strength.

The most important paragraphs

1. My Best Friend.
2. My Favorite  Teacher.
3. My Favorite poet.
4. My House.
5. My Favorite Hobby.
6. My Favorite Dish.
7. My Favorite Book.
8. A Rainy day.
9. A Hot day in summer.
10. A Busy street.
11. A Village fair.
12. A Morning walk.
13. An Accident.
14. My Hobbies.
15. A Street  beggar.
16. A Marriage party.
17. A Funeral procession.
18. A Visit to a hall-station 
19. Kite-Flying.
20. Swimming.

Aiou code fa urdu 363 old paper autumn 2012 semester

Aiou code 316 FA old paper autumn 2012 semester

Aiou code 316 FA old paper autumn 2012 semester

aiou unsolved assignment code 395

ALLAMA IQBAL OPEN UNIVERSITY, ISLAMABAD

(Department of Mathematics and Statistics)

 

WARNING

1.         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.

2.         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)                                                   Semester: Spring, 2013

Level: F. Sc                                                                                    Total Marks: 100

ASSIGNMENT No. 1

Q. 1  (a)     Define and explain estimate, estimator and properties of a normal distribution.    (10)

         (b)     Normal distribution is symmetric with a single peak. Does this mean that all symmetric distribution are normal? Explain.                                                                                 (05)

         (c)     In a normal distribution . Find third and fourth moment about mean.        (05)

Q. 2  (a)     What is bias? Define sampling error. How it can be reduced?             (05)

         (b)     What is difference between precision and accuracy?                          (05)

         (c)     A small professional society has N = 4500 members. The president has mailed n = 400 questionnaires to a random sample of members asking whether they wish to affiliate with a large group. Assuming that the proportion of the entire membership favoring consolidation is . Find the mean and standard error of the sample proportion.                                                           (10)

Q. 3  (a)     A family has 5 children; the sex of child is given below:                    (10)

                 

Child	1	2	3	4	5
Sex	B	G	G	B	B

(i)           Find the proportion of boys in the population.

(ii)         Select all possible samples of size 3 without replacement. Make the sampling distributions of boys in the samples and verify that: 

                           ii)      

         (b)     A population consists of four numbers 3, 7, 9 and 11. Take all possible samples of size 2 with replacement form this population. Find the mean and unbiased variance for each sample. Also calculate the mean and variance of the population.                                           (10)

Q. 4  (a)     Calculate 95% confidence interval for population mean when a random sample selected from the population gave the values:                                                                 (10)

23	27	30	31	33	33	35	36	40	41	42	44	46	47	47	48
49	50	51	53	56	57	58	60	61	62	63	66	68	70	72	74

         (b)     An industrial caterer had the following daily sales revenues on nine different days: Rs. 58, 42, 71, 59, 66, 49, 68, 63 and 55. Assume these revenue amounts represent a simple random sample from a normal population. Construct 99% confidence interval for mean daily sales revenue for the caterer and test the significance that average sale revenue is Rs. 60.                                 (10)

Q. 5  (a)     Define and explain the following terms:                                             (10)

                  i)       Test-statistic

                  ii)      Power of test

                  iii)     Critical values

                  iv)     Degree of freedom

                  v)      Level of significance

         (b)     A manufacturer of detergent claims that the mean weight of a particular box of detergent is 3.25 pounds. A random sample of 64 boxes revealed a sample average of 3.238 pounds with a standard deviation of 0.117 pounds. Using the 1% level of significance, is there evidence that the average weight of the boxes is different form 3.25 pounds.                                        (10)

ASSIGNMENT No. 2

                                                                                                       Total Marks: 100

Q. 1  (a)     How will you describe the simple linear regression model. Describe the properties of least square regression line.                                                                                    (10)

         (b)     Suppose that four randomly chosen plots were treated with various levels of fertilizer resulting in the following yield of corn.                                                                      (10)

                 

Fertilizer (kg/Acre) X	100	200	400	500
Production (Bushels/Acre) Y	70	70	80	100

                  Fit a simple linear regression line and estimate the production when X=370 kg/acre.

Q. 2  a)      Define Rank Correlation. Under what situations rank correlation is used? (05)

         b)      What is the relationship between regression co-efficient and correlation co-efficient “r”?         (05)

         c)      Given:

                 

X	1	2	3	4	5
Y	8	9	13	18	27

                 

                  Fit Y = a + bX by least squares method and estimate Y for X = 6. Also fit X = c + dY by least squares method.                                                                                               (10)

Q. 3  a)      Differentiate attribute & Variable? Distinguish between A and , B and .          (10)

         b)      750 students appeared in an examination and 470 were successful. 465 had attended the classes and 58 of them failed. Calculate co-efficient of association between attending classes and success.   (10)

Q. 4  a)      Define Chi-square statistic. Also explain its importance in inferential theory.       (05)

         b)      The following table gives the distribution of 200 school children according to physical defect and speech defect .                                                              (15)

Speech Defect	Number of Children
	34	22	19
	25	14	11
	21	18	26

        

                  Do the data suggest association, between physical defect and speech defect? Use  as the level of significance.

Q. 5  a)      What is measured by moving average? Why are 4-quarter and 12 month moving average used to develop a seasonal index?                                                                   (10)

         b)      Fit a Quadratic parabola to the following data.                                    (10)

                 

Year	1936	1939	1942	1945	1948	1951
Price in Rs.	187	142	133	129	136	169

                  Use your result to estimate the value for year 1953.

aiou unsolved assignment code 395

ALLAMA IQBAL OPEN UNIVERSITY, ISLAMABAD

(Department of Mathematics and Statistics)

 

WARNING

1.         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.

2.         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)                                                   Semester: Spring, 2013

Level: F. Sc                                                                                    Total Marks: 100

ASSIGNMENT No. 1

Q. 1  (a)     Define and explain estimate, estimator and properties of a normal distribution.    (10)

         (b)     Normal distribution is symmetric with a single peak. Does this mean that all symmetric distribution are normal? Explain.                                                                                 (05)

         (c)     In a normal distribution . Find third and fourth moment about mean.        (05)

Q. 2  (a)     What is bias? Define sampling error. How it can be reduced?             (05)

         (b)     What is difference between precision and accuracy?                          (05)

         (c)     A small professional society has N = 4500 members. The president has mailed n = 400 questionnaires to a random sample of members asking whether they wish to affiliate with a large group. Assuming that the proportion of the entire membership favoring consolidation is . Find the mean and standard error of the sample proportion.                                                           (10)

Q. 3  (a)     A family has 5 children; the sex of child is given below:                    (10)

                 

Child	1	2	3	4	5
Sex	B	G	G	B	B

(i)           Find the proportion of boys in the population.

(ii)         Select all possible samples of size 3 without replacement. Make the sampling distributions of boys in the samples and verify that: 

                           ii)      

         (b)     A population consists of four numbers 3, 7, 9 and 11. Take all possible samples of size 2 with replacement form this population. Find the mean and unbiased variance for each sample. Also calculate the mean and variance of the population.                                           (10)

Q. 4  (a)     Calculate 95% confidence interval for population mean when a random sample selected from the population gave the values:                                                                 (10)

23	27	30	31	33	33	35	36	40	41	42	44	46	47	47	48
49	50	51	53	56	57	58	60	61	62	63	66	68	70	72	74

         (b)     An industrial caterer had the following daily sales revenues on nine different days: Rs. 58, 42, 71, 59, 66, 49, 68, 63 and 55. Assume these revenue amounts represent a simple random sample from a normal population. Construct 99% confidence interval for mean daily sales revenue for the caterer and test the significance that average sale revenue is Rs. 60.                                 (10)

Q. 5  (a)     Define and explain the following terms:                                             (10)

                  i)       Test-statistic

                  ii)      Power of test

                  iii)     Critical values

                  iv)     Degree of freedom

                  v)      Level of significance

         (b)     A manufacturer of detergent claims that the mean weight of a particular box of detergent is 3.25 pounds. A random sample of 64 boxes revealed a sample average of 3.238 pounds with a standard deviation of 0.117 pounds. Using the 1% level of significance, is there evidence that the average weight of the boxes is different form 3.25 pounds.                                        (10)

ASSIGNMENT No. 2

                                                                                                       Total Marks: 100

Q. 1  (a)     How will you describe the simple linear regression model. Describe the properties of least square regression line.                                                                                    (10)

         (b)     Suppose that four randomly chosen plots were treated with various levels of fertilizer resulting in the following yield of corn.                                                                      (10)

                 

Fertilizer (kg/Acre) X	100	200	400	500
Production (Bushels/Acre) Y	70	70	80	100

                  Fit a simple linear regression line and estimate the production when X=370 kg/acre.

Q. 2  a)      Define Rank Correlation. Under what situations rank correlation is used? (05)

         b)      What is the relationship between regression co-efficient and correlation co-efficient “r”?         (05)

         c)      Given:

                 

X	1	2	3	4	5
Y	8	9	13	18	27

                 

                  Fit Y = a + bX by least squares method and estimate Y for X = 6. Also fit X = c + dY by least squares method.                                                                                               (10)

Q. 3  a)      Differentiate attribute & Variable? Distinguish between A and , B and .          (10)

         b)      750 students appeared in an examination and 470 were successful. 465 had attended the classes and 58 of them failed. Calculate co-efficient of association between attending classes and success.   (10)

Q. 4  a)      Define Chi-square statistic. Also explain its importance in inferential theory.       (05)

         b)      The following table gives the distribution of 200 school children according to physical defect and speech defect .                                                              (15)

Speech Defect	Number of Children
	34	22	19
	25	14	11
	21	18	26

        

                  Do the data suggest association, between physical defect and speech defect? Use  as the level of significance.

Q. 5  a)      What is measured by moving average? Why are 4-quarter and 12 month moving average used to develop a seasonal index?                                                                   (10)

         b)      Fit a Quadratic parabola to the following data.                                    (10)

                 

Year	1936	1939	1942	1945	1948	1951
Price in Rs.	187	142	133	129	136	169

                  Use your result to estimate the value for year 1953.