Prepare a fictional data set in SPSS with following variables and 72 objects Gender (Female...
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Prepare a fictional data set in SPSS with following variables and 72 objects • Gender (Female - Male) • Height (in centimeters) (Between 150 cm and 185 cm) • Weight (in kilograms) (Between 42 kg and 175 kg) • Physical Score (Between 15 and 60) • Calculate "Body Mass Index (BMI)". The formula is: o BMI = Weight / Height (in kg/m²) Question 1: Fill the below table. Minimum Maximum Median Arithmetic Std. Mean Deviation Height Weight BMI Physical Score Question 2: Create a new variable called "Physical Score 2" by following the below rules. Fill the below table for this new variable. Low Normal • • High 15 ≤ Physical score < 30 30 ≤ Physical score < 45 45 ≤ Physical score ≤ 60 Normal High N % Low Question 3: Create a table for Gender. Decide which table design is better; the table in Question 1 or in Question 2? Question 4: Create a new variable named "BMI Category" depending on the below rules. • BMI < 18.50 18.50 s BMI < 25 25 s BMI < 30 category is "Underweight" category is "Normal" category is "Overweight" category is "Obese" • • 30 s BMI Question 5: Create a table for BMI Category. Choose your own table design. Question 6: Fill the below table for each gender category. Minimum Maximum Median Arithmetic Mean Std. Deviation Height Weight BMI Physical Score Question 7: Answer the below questions. • 1- How many low physical score males? 2- How many normal physical score females? 3- How many obese females? 4- How many overweight low physical score person? 5- How many underweight males? 6- What % of females has high physical score? 7- What % of normal physical score people are female? 8- What % of obsesses has low physical score? 9- What % of normal physical score people are male? 10-What % of total sample have low score & are obese? At the end, three files must be uploaded to the course web site: 1. Final complete SPSS data file. 2. Final SPSS output file that contains all the calculations asked. 3. This word document with all the related answers written on. Prepare a fictional data set in SPSS with following variables and 72 objects • Gender (Female - Male) • Height (in centimeters) (Between 150 cm and 185 cm) • Weight (in kilograms) (Between 42 kg and 175 kg) • Physical Score (Between 15 and 60) • Calculate "Body Mass Index (BMI)". The formula is: o BMI = Weight / Height (in kg/m²) Question 1: Fill the below table. Minimum Maximum Median Arithmetic Std. Mean Deviation Height Weight BMI Physical Score Question 2: Create a new variable called "Physical Score 2" by following the below rules. Fill the below table for this new variable. Low Normal • • High 15 ≤ Physical score < 30 30 ≤ Physical score < 45 45 ≤ Physical score ≤ 60 Normal High N % Low Question 3: Create a table for Gender. Decide which table design is better; the table in Question 1 or in Question 2? Question 4: Create a new variable named "BMI Category" depending on the below rules. • BMI < 18.50 18.50 s BMI < 25 25 s BMI < 30 category is "Underweight" category is "Normal" category is "Overweight" category is "Obese" • • 30 s BMI Question 5: Create a table for BMI Category. Choose your own table design. Question 6: Fill the below table for each gender category. Minimum Maximum Median Arithmetic Mean Std. Deviation Height Weight BMI Physical Score Question 7: Answer the below questions. • 1- How many low physical score males? 2- How many normal physical score females? 3- How many obese females? 4- How many overweight low physical score person? 5- How many underweight males? 6- What % of females has high physical score? 7- What % of normal physical score people are female? 8- What % of obsesses has low physical score? 9- What % of normal physical score people are male? 10-What % of total sample have low score & are obese? At the end, three files must be uploaded to the course web site: 1. Final complete SPSS data file. 2. Final SPSS output file that contains all the calculations asked. 3. This word document with all the related answers written on.
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Related Book For
Elementary Linear Algebra with Applications
ISBN: 978-0471669593
9th edition
Authors: Howard Anton, Chris Rorres
Posted Date:
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