Information and Instructions: I Answer any two (2) question 2. All questions carried equal marks. 3. You are to submit your online assessment can before 5pm, 14th December 2020. But the earlier you submit the higher your score. 4. There will not be make-up. 5. The plagiarisms. Turnitin report will be consider Question One: a. Expatiate the application of analysis of business data in management and social sciences b. An ogive is a line graph where the bases are the class boundaries and the heights are the set for the less than ogive and >cf for the greater than ogive. Discuss C. Justify your answers Question Two: a. Differentiate between descriptive and inferential statistical techniques, giving formulae and examples where necessary to support your answ b. With the aid of practical examples, enumerates types of measures of central tendency and measures of dispersion. C. Comment on your findings Question Three: a. Discuss ten (10) approaches for calculating sample size in the analysis of business data for management and social sciences. Support your answer with sources b. Do you agree that non-random sampling technique is a quota sampling, which appears to be similar to a stratified random sampling? If yes, justify and if no why? Information and Instructions: 1 Answer any two (2) questions. 2. All questions carried equal marks. 3. You are to submit your online assessment on/before 5pm; 14th December, 2020. But the earlier you submit the higher your score. 4. There will not be make-up. 5. The plagiarisms/Turnitin report will be consider. Question One: a. Expatiate the application of analysis of business data in management and social sciences. b. An ogive is a line graph where the bases are the class boundaries and the heights are the cf for the greater than ogive. Discuss. c. Justify your answers. Question Two: a. Differentiate between descriptive and inferential statistical techniques, giving formulae and examples where necessary to support your answers. b. With the aid of practical examples, enumerates types of measures of central tendency and measures of dispersion. c. Comment on your findings. Question Three: a. Discuss ten (10) approaches for calculating sample size in the analysis of business data for management and social sciences. Support your answer with sources. b. Do you agree that non-random sampling technique is a quota sampling, which appears to be similar to a stratified random sampling? If yes, justify and if no, why? Information and Instructions: I Answer any two (2) question 2. All questions carried equal marks. 3. You are to submit your online assessment can before 5pm, 14th December 2020. But the earlier you submit the higher your score. 4. There will not be make-up. 5. The plagiarisms. Turnitin report will be consider Question One: a. Expatiate the application of analysis of business data in management and social sciences b. An ogive is a line graph where the bases are the class boundaries and the heights are the set for the less than ogive and >cf for the greater than ogive. Discuss C. Justify your answers Question Two: a. Differentiate between descriptive and inferential statistical techniques, giving formulae and examples where necessary to support your answ b. With the aid of practical examples, enumerates types of measures of central tendency and measures of dispersion. C. Comment on your findings Question Three: a. Discuss ten (10) approaches for calculating sample size in the analysis of business data for management and social sciences. Support your answer with sources b. Do you agree that non-random sampling technique is a quota sampling, which appears to be similar to a stratified random sampling? If yes, justify and if no why? Information and Instructions: 1 Answer any two (2) questions. 2. All questions carried equal marks. 3. You are to submit your online assessment on/before 5pm; 14th December, 2020. But the earlier you submit the higher your score. 4. There will not be make-up. 5. The plagiarisms/Turnitin report will be consider. Question One: a. Expatiate the application of analysis of business data in management and social sciences. b. An ogive is a line graph where the bases are the class boundaries and the heights are the cf for the greater than ogive. Discuss. c. Justify your answers. Question Two: a. Differentiate between descriptive and inferential statistical techniques, giving formulae and examples where necessary to support your answers. b. With the aid of practical examples, enumerates types of measures of central tendency and measures of dispersion. c. Comment on your findings. Question Three: a. Discuss ten (10) approaches for calculating sample size in the analysis of business data for management and social sciences. Support your answer with sources. b. Do you agree that non-random sampling technique is a quota sampling, which appears to be similar to a stratified random sampling? If yes, justify and if no, why