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Assignment Question(s) (Allotted Marks: 15/15) Question: 1. A marketing researcher is planning to study about the customer satisfaction on Samsung mobile phone in Al Dhahira governorate. He has planned to use a questionnaire to collect primary data from the respondents for the proposed study. How does he design the questionnaire? Prepare a model questionnaire on behalf of the researcher. (3 Marks) Question: 2. In a medical camp, the sugar level is checked for about 120 people and the measurements are furnished in the following table. You are required to construct a frequency table using 6 classes. 80 67 98 141 161 71 100 66 155 110 121 171 65 69 97 142 162 72 101 65 154 111 122 172 75 76 131 143 163 73 102 67 153 112 123 176 100 78 132 144 163 74 103 68 156 113 124 175 140 79 133 145 165 75 104 69 157 114 125 179 180 87 134 146 166 76 105 63 158 115 126 174 120 86 135 147 167 77 106 62 158 116 127 173 121 89 136 148 168 78 107 61 159 117 128 172 122 90 137 149 169 79 108 60 160 118 129 176 132 99 137 150 170 80 109 64 162 119 130 177 (3 Marks) Question: 3: Mean is the most commonly used measure of central tendency. There are different types of mean, viz. arithmetic mean, weighted mean, geometric mean (GM) and harmonic mean (HM). If mentioned without an adjective (as mean), it generally refers to the arithmetic mean. Therefore, you are required to calculate the mean and standard deviation of covid-19 infections during December’2020.. The data for the same could be accessed from https://www.worldometers.info/coronavirus/country/oman/. (3 Marks) Question: 4. The correlation coefficient is a significant measure in statistics to measure the relationship between variables. To understand the concept more, you are required to collect the data regarding monthly salary and expenses from 10 sample respondents in your town and find out the Karl Pearson coefficient of correlation. (3 Marks) UTAS-Ibri_BSD_BAST 1206_SEMII_AY2020-21 Page 2 of 2 Question: 5. The regression is a superior model compare to correlation to find out the degree of influence of independent variables on the dependent variable. Find out the impact of “X” on “Y” by computing Alpha and Beta coefficient from the following data. Year 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 X Advertising Expenditure-(OMR ) 250 200 175 275 260 180 170 190 225 155 Y Sales (OMR ) 765 850 875 650 600 800 825 780 750 790 (3 Marks) ***End of Questions*** UTAS-Ibri_BSD_BAST 1206_SEMII_AY2020-21 Page 2 of 2 Your answer for the assignment starts here UTAS-Ibri_BSD_BAST 1206_SEMII_AY2020-21 Page 2 of 2 Assignment Question(s) (Allotted Marks: 15/15) Question: 1. A marketing researcher is planning to study about the customer satisfaction on Samsung mobile phone in Al Dhahira governorate. He has planned to use a questionnaire to collect primary data from the respondents for the proposed study. How does he design the questionnaire? Prepare a model questionnaire on behalf of the researcher. (3 Marks) Question: 3: Mean is the most commonly used measure of central tendency. There are different types of mean, viz. arithmetic mean, weighted mean, geometric mean (GM) and harmonic mean (HM). If mentioned without an adjective (as mean), it generally refers to the arithmetic mean. Therefore, you are required to calculate the mean and standard deviation of covid-19 infections during December’2020.. The data for the same could be accessed from https://www.worldometers.info/coronavirus/country/oman/. (3 Marks) Question: 4. The correlation coefficient is a significant measure in statistics to measure the relationship between variables. To understand the concept more, you are required to collect the data regarding monthly salary and expenses from 10 sample respondents in your town and find out the Karl Pearson coefficient of correlation. (3 Marks) Page 2 of 2 Your answer for the assignment starts here Question 1: Samsung Mobile Phone Satisfaction Survey: 1. What is your age range? 10-20 40-50 20-30 50-60 30-40 60-70 2. How frequently do you use your phone in a day? Number of hours 3. What do you use your phone for? Business Social Media Playing Games Taking Pictures Other Functions 4. Did you like the size and design of the phone? Yes No 5. Were you satisfied with the speed of the phone? Yes No 6. How easy was the phone to use on a scale of 1-10? (10 being very easy) Rating 7. Were you happy with the battery life of the phone? Yes No 8. Based on the above, were you satisfied with the price paid? Yes No 9. Would you recommend this phone to your friends and family? Yes No 10. Is there anything that you will improve on? Page 2 of 2 Question 2: 182 0 0 91 70 86 93 54 0 0 0 0 116 184 264 212 571 264 215 557 0 0 229 211 164 179 215 209 237 184 NO. OF INFECTIONS 648 DAILY NEW INFECTIONS: DEC 2020 DATE Using formulas: 1. Mean = Sum/Number of Samples: Sum: 215+209+237+184+0+0+557+229+211+164+179+0+0+571+264+215+116+184+0+0+648+264+2 12+93+54+0+0+182+91+70+86 = 5235 Number of Samples: 31 Therefore, mean is Sum/Samples = 5235/31 = 168.9 Page 2 of 2 2. Standard Deviation: Samples New_cases (Xi) Xi – X (Xi-X)2 1 215 46.1 2127.9 2 209 40.1 1610.3 3 237 68.1 4641.6 4 184 15.1 228.9 5 0 -168.9 28517.4 6 0 -168.9 28517.4 7 557 388.1 150644.1 8 229 60.1 3615.5 9 211 42.1 1774.9 10 164 -4.9 23.7 11 179 10.1 102.6 12 0 -168.9 28517.4 13 0 -168.9 28517.4 14 571 402.1 161707.8 15 264 95.1 9049.5 16 215 46.1 2127.9 17 116 -52.9 2795.3 18 184 15.1 228.9 19 0 -168.9 28517.4 20 0 -168.9 28517.4 21 648 479.1 229564.6 22 264 95.1 9049.5 23 212 43.1 1860.1 24 93 -75.9 5756.4 25 54 -114.9 13195.3 26 0 -168.9 28517.4 27 0 -168.9 28517.4 28 182 13.1 172.4 29 91 -77.9 6063.9 30 70 -98.9 9775.5 31 86 -82.9 Sum 6867.6 851123.5 =√851123.5/31 = 165.7 Using Excel to Calculate Mean = AVERAGE(E4:E34) Standard Deviation = STDEV(E4:E34) Page 2 of 2 Question 3: Using first principles: Person 1 Salary (Xi) Expenses (Yi) Xi – X Yi – Y (Xi – X)2 (Yi – Y)2 (Xi – X)*(Yi – Y) OMR 586.00 OMR 450.00 -OMR 410.30 -OMR 346.30 OMR 168,346.09 OMR 119,923.69 OMR 142,086.89 OMR 237.70 OMR 303.70 OMR 56,501.29 OMR 92,233.69 OMR 72,189.49 2 OMR 1,234.00 OMR 1,100.00 3 OMR 1,500.00 OMR 980.00 4 5 6 OMR 503.70 OMR 183.70 OMR 253,713.69 OMR 33,745.69 OMR 92,529.69 -OMR 345.30 -OMR 345.30 OMR 119,232.09 OMR 119,232.09 OMR 119,232.09 OMR 862.00 -OMR 38.30 OMR 65.70 OMR 1,466.89 OMR 4,316.49 -OMR 2,516.31 OMR 1,156.00 OMR 850.00 OMR 159.70 OMR 53.70 OMR 25,504.09 OMR 2,883.69 OMR 8,575.89 OMR 651.00 OMR 451.00 OMR 958.00 7 OMR 876.00 OMR 650.00 -OMR 120.30 -OMR 146.30 OMR 14,472.09 OMR 21,403.69 OMR 17,599.89 8 OMR 550.00 OMR 453.00 -OMR 446.30 -OMR 343.30 OMR 199,183.69 OMR 117,854.89 OMR 153,214.79 9 OMR 1,450.00 OMR 1,255.00 OMR 453.70 OMR 458.70 OMR 205,843.69 OMR 210,405.69 OMR 208,112.19 10 OMR 1,002.00 OMR 912.00 OMR 5.70 OMR 115.70 OMR 32.49 OMR 13,386.49 OMR 659.49 Total OMR 1,044,296.10 OMR 735,386.10 OMR 811,684.10 Correlation 0.92622714 Average OMR 996.30 OMR 796.30 Using Excel to calculate: =CORREL(Xi,Yi) =CORREL(B2:B11,C2:C11) Page 2 of 2

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