Consider the below variables from the survey data set. From the list, select the variable(s) that is/are ordinal categorical variables.多项选择题

A
a. Writing hand span (distance from tip of thumb to tip of little finger of spread hand, of writing hand, in centimetres)
B
b. Age (age of the student in years.)
C
c. Pulse (pulse rate of student: beats per minute)
D
d. Smoke (how much the student smokes: Factor, levels “Heavy”, “Regul” (regularly), “Occas” (occasionally), “Never”.)
E
e. Non-writing hand span (distance from tip of thumb to tip of little finger of spread hand, of non-writing hand, in centimetres)
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Question text For this question, you will need to analyse data found in the data file df.csv (UCI Machine Learning Repository 2014). Download the data set by clicking on df.csv and then save it in a relevant location on your PC. Please note: Each time you attempt the quiz, a new randomised data set is provided in this question. If you are re-attempting this quiz, please ensure you download the new data set provided in this question and answer the questions based on the new data set. You will then need to import your data into jamovi (Sci/Health students) or R (Data Science students). There are three columns (variables) in df.csv, however we are only interested in the variable called health. There are rows in the data set. The health variable contains the current health status for all people included in the data set. A person’s health status can be classified as either “Very Bad”, “Bad”, “Fair”, “Good”, or “Very good”. Carry out the necessary analysis using either jamovi (Sci/Health students) or R (Data Science students) and answer the following questions. Where relevant, round your answers to one decimal place. Marks: Half marks for the table; half marks for remaining questions Fill in the below table with the correct numbers [Note: Percentages may not total 100 due to rounding. You do not need to enter percentage symbols in any of the boxes below. For example, if an answer is 50.1%, simply enter the number 50.1]: [table] Current Health Status | Frequency | Cumulative Frequency | Relative Frequency (%) | Cumulative Relative Frequency (%) Very bad | Answer 1 Question 11 | Answer 2 Question 11 | Answer 3 Question 11 | Answer 4 Question 11 Bad | Answer 5 Question 11 | Answer 6 Question 11 | Answer 7 Question 11 | Answer 8 Question 11 Fair | Answer 9 Question 11 | Answer 10 Question 11 | Answer 11 Question 11 | Answer 12 Question 11 Good | Answer 13 Question 11 | Answer 14 Question 11 | Answer 15 Question 11 | Answer 16 Question 11 Very good | Answer 17 Question 11 | Answer 18 Question 11 | Answer 19 Question 11 | Answer 20 Question 11 [/table] Using the information in the above table, answer the following questions: What type of variable is health? Answer 21 Question 11[select: , Categorical > Nominal, Categoical > Ordinal, Numeric > Discrete, Numeric > Continuous] How many people’s health status is “Good”? Answer 22 Question 11[input] How many people’s health status is “Bad” or worse? Answer 23 Question 11[input] How many people’s health status is at least “Fair”? Answer 24 Question 11[input] What percentage of people’s health status is “Good”? Answer 25 Question 11[input] What percentage of people’s health status is “Bad” or worse? Answer 26 Question 11[input] What percentage of people’s health status is at least “Fair”? Answer 27 Question 11[input] References UCI Machine Learning Repository. 2014. “Student Performance Data Set [.csv File].” 2014. https://archive.ics.uci.edu/ml/datasets/student+performance.
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