Error_Data_Exercise_ST

xlsx

School

Florida International University *

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Course

4353

Subject

Statistics

Date

Apr 3, 2024

Type

xlsx

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Uploaded by BarristerCheetah4071

What is you ID 1 Female =1, Male =0 1 Actual Weight (lbs) 120 Smartphone (Yes=1, No=0) 1 Random Number (0,1) 0.200991 Average Population Weight 159.3333 Average Weight Females 141.5333 Average Weght Males 177.1333 Average Weight SmartPhone owners 156.4286 Average Weight Non-owners 166.1111 Average Weight Female Owners 141.6364 ID 25 Female =1, Male =0 1 Actual Weight (lbs) 140 Smartphone (Yes=1, No=0) 1 Random Number (0,1) 0.085662 Taking Samples (ordering random numbers) ID 25 Female =1, Male =0 1 Actual Weight (lbs) 140 Smartphone (Yes=1, No=0) 1 Random Number 0.085662 Average Weight Sample Size 10 (Random Sample) 164.8 ID 25 Female =1, Male =0 1 Actual Weight (lbs) 140 Smartphone (Yes=1, No=0) 1 Random Number (0,1) 0.085662 Average Weight Sample Size 20 (Random Sample) 160.65

What are some other errors that could occur? 1) Suppose the researcher decides to send the survey to 10 respon ID 25 Female =1, Male =0 1 Actual Weight (lbs) 140 Smartphone (Yes=1, No=0) 1 Random Number 0.085662 Average Weight Intended Sample Size 10 (Random Sample), 6 respond 155.3333 Average Weight Sample Size 10 (Random Sample) 164.8 9.466667 The difference between these two means is called 2) Suppose some of the respondents do not truthfully report their ID 25 Female =1, Male =0 1 Actual Weight (lbs) 140 Reported Weight 135 Smartphone (Yes=1, No=0) 1 Random Number 0.085662 Average Actual Weight Sample Size 10 (Random Sample) 164.8 Average Reported Weight Sample Size 10 (Random Sample) 160.2 4.6 The difference between these two means is called 3) Suppose the researcher collects the survey respondents via a SM ID 25 The difference between Population Mean and Samp

Female =1, Male =0 1 Actual Weight (lbs) 140 Smartphone (Yes=1, No=0) 1 Random Number (0,1) 0.085662 Average Weight Sample Size 10 (Random Sample) 164.8 Average Actual Weight Sample Size 10, Smart Phone Owners (Random Sample) 147.3 17.5 The difference between these two means is called 4) (Among females he draws a random sample) ID 25 Female =1, Male =0 1 Actual Weight (lbs) 140 Smartphone (Yes=1, No=0) 1 Random Number (0,1) 0.085662 Average Weight Sample Size 10 (Random Sample) 164.8 Average Actual Weight Sample Size 10, Females (Random Sample) 136 28.8 The difference between these two means is called selecti 5) ID 25 Female =1, Male =0 1 Actual Weight (lbs) 140 Entered data 130 Smartphone (Yes=1, No=0) 1 Random Number 0.085662 Average Weight Sample Size 10 (Random Sample) 164.8 Average Entered Data 164.5 0.3 The difference between these two means is due to proce 6) Suppose some respondents misunderstood and entered their w Suppose the researcher selects only females for the survey eve Suppose the data from the respondents is entered by elementa

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ID 25 Female =1, Male =0 1 Actual Weight (lbs) 140 Reported Weight (some in lbs, some in kg) 63.5 Smartphone (Yes=1, No=0) 1 Random Number 0.085662 Average Weight Sample Size 10 (Random Sample) 164.8 Average Weight (lbs and kg), reported as lbs 132.8 32 7) ID 25 Female =1, Male =0 1 Actual Weight (lbs) 140 Reported Data 135 Smartphone (Yes=1, No=0) 1 Random Number 0.085662 Average Weight Sample Size 10 (Random Sample) 164.8 Average Weight Reported to Interviewer 156.5 8.3 The difference between these two means is due to interv 8) ID 25 Female =1, Male =0 1 Actual Weight (lbs) 140 Smartphone (Yes=1, No=0) 1 Random Number 0.085662 Average Weight Sample Size 10 (Random Sample) 164.8 ` Average Weight Females 137.4 Average Weight Males 192.2 Difference between Sample Mean and Mean weight of females -27.4 The difference between these two means is due to popul The difference between these two means is due to measu Suppose the company sends out researchers to conduct person Suppose the company tried to promote a weight loss product t

It suggests that the weight loss program is going to be a lot more successful than 9) This error is called surogate information error The company collects data on weight, but they really nee

ur weight? 2 3 4 5 6 7 8 9 10 11 0 1 0 1 0 1 0 1 0 1 180 130 200 150 165 135 250 130 175 145 1 1 1 0 1 0 0 1 1 0 0.347797 0.301271 0.498796 0.365592 0.870523 0.512068 0.23046 0.669488 0.393996 0.679514 18 22 20 30 1 19 8 13 15 3 0 0 0 0 1 1 0 1 1 1 168 195 178 170 120 122 250 180 125 130 0 0 1 1 1 1 0 1 1 1 0.099127 0.130875 0.142653 0.173095 0.200991 0.210205 0.23046 0.239179 0.265798 0.301271 18 22 20 30 1 19 8 13 15 0 0 0 0 1 1 0 1 1 168 195 178 170 120 122 250 180 125 0 0 1 1 1 1 0 1 1 0.099127 0.130875 0.142653 0.173095 0.200991 0.210205 0.23046 0.239179 0.265798 18 22 20 30 1 19 8 13 15 3 0 0 0 0 1 1 0 1 1 1 168 195 178 170 120 122 250 180 125 130 0 0 1 1 1 1 0 1 1 1 0.099127 0.130875 0.142653 0.173095 0.200991 0.210205 0.23046 0.239179 0.265798 0.301271

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Random error ndents randomly but only 6 people anwer the question about weig 18 22 20 30 1 19 8 13 15 0 0 0 0 1 1 0 1 1 195 170 122 180 125 0 0 1 1 1 1 0 1 1 0.099127 0.130875 0.142653 0.173095 0.200991 0.210205 0.23046 0.239179 0.265798 r weight 18 22 20 30 1 19 8 13 15 0 0 0 0 1 1 0 1 1 168 195 178 170 120 122 250 180 125 160 185 175 175 120 122 230 175 125 0 0 1 1 1 1 0 1 1 0.099127 0.130875 0.142653 0.173095 0.200991 0.210205 0.23046 0.239179 0.265798 MARTPHONE 20 30 1 19 13 15 3 2 21 ple Mean is called

0 0 1 1 1 1 1 0 1 178 170 120 122 180 125 130 180 128 1 1 1 1 1 1 1 1 1 0.142653 0.173095 0.200991 0.210205 0.239179 0.265798 0.301271 0.347797 0.378119 1 19 13 15 3 5 21 7 9 1 1 1 1 1 1 1 1 1 120 122 180 125 130 150 128 135 130 1 1 1 1 1 0 1 0 1 0.200991 0.210205 0.239179 0.265798 0.301271 0.365592 0.378119 0.512068 0.669488 tion error 18 22 20 30 1 19 8 13 15 0 0 0 0 1 1 0 1 1 168 195 178 170 120 122 250 180 125 168 193 179 170 120 132 250 180 123 0 0 1 1 1 1 0 1 1 0.099127 0.130875 0.142653 0.173095 0.200991 0.210205 0.23046 0.239179 0.265798 essing error weight in kg instead of lbs (1 lbs = 0.454 kg) en though he is supposed to consider the whole population ary school students instead of computer processed

18 22 20 30 1 19 8 13 15 0 0 0 0 1 1 0 1 1 168 195 178 170 120 122 250 180 125 168 88.5 178 170 120 122 113 180 125 0 0 1 1 1 1 0 1 1 0.099127 0.130875 0.142653 0.173095 0.200991 0.210205 0.23046 0.239179 0.265798 18 22 20 30 1 19 8 13 15 0 0 0 0 1 1 0 1 1 168 195 178 170 120 122 250 180 125 165 180 175 165 115 120 230 160 120 0 0 1 1 1 1 0 1 1 0.099127 0.130875 0.142653 0.173095 0.200991 0.210205 0.23046 0.239179 0.265798 view error 18 22 20 30 1 19 8 13 15 0 0 0 0 1 1 0 1 1 168 195 178 170 120 122 250 180 125 0 0 1 1 1 1 0 1 1 0.099127 0.130875 0.142653 0.173095 0.200991 0.210205 0.23046 0.239179 0.265798 lation specification error urement instrument erro r nal interviews instead of using an online questionnaire that females are interested in, but males are not . However, they t

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it truly will be ed data on difference between actual weight and ideal weig

12 13 14 15 16 17 18 19 20 21 0 1 0 1 0 1 0 1 0 1 150 180 175 125 169 143 168 122 178 128 0 1 1 1 1 1 0 1 1 1 0.706902 0.239179 0.400381 0.265798 0.80694 0.673917 0.099127 0.210205 0.142653 0.378119 2 5 24 21 10 14 4 7 28 26 0 1 0 1 0 0 0 1 0 0 180 150 167 128 175 175 200 135 125 190 1 0 0 1 1 1 1 0 1 1 0.347797 0.365592 0.371305 0.378119 0.393996 0.400381 0.498796 0.512068 0.544344 0.563373 2 5 24 21 10 14 4 7 28 0 1 0 1 0 0 0 1 0 180 150 167 128 175 175 200 135 125 1 0 0 1 1 1 1 0 1 0.347797 0.365592 0.371305 0.378119 0.393996 0.400381 0.498796 0.512068 0.544344

ght

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took a random sample from the overall population

ght to say something about the prospects of the weight loss

22 23 24 25 26 27 28 29 30 0 1 0 1 0 1 0 1 0 195 135 167 140 190 160 125 180 170 0 0 0 1 1 1 1 1 1 0.130875 0.89777 0.371305 0.085662 0.563373 0.863302 0.544344 0.824474 0.173095 9 17 11 12 16 29 27 6 23 1 1 1 0 0 1 1 0 1 130 143 145 150 169 180 160 165 135 1 1 0 0 1 1 1 1 0 0.669488 0.673917 0.679514 0.706902 0.80694 0.824474 0.863302 0.870523 0.89777

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s program for the population

Error_Data_Exercise_ST

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