Food Preference Data Quiz
Assess understanding of the provided food-choice dataset and its implications.
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Quiz Questions & Answers
Review every prompt, the correct responses, and helpful context to prep for your own run-through.
Question 1: What type of data is represented by entries like 'Pancakes' and 'Eggs' in the file?
Continuous numeric
Categorical nominal
Time series
Ordinal ranked
Question 2: Which analysis approach is most appropriate to compare popularity of options like 'Burger' vs 'Pizza'?
Linear regression
Frequency count and proportion
Survival analysis
Principal component analysis
Question 3: Given the spreadsheet lists one choice per row per question, what data structure best stores each question's responses for analysis?
Binary image files
Multiple separate XLS files
Encrypted blobs
Tall table with response column
Question 4: If you wanted to visualize distribution of responses for 'Pick a snack' (Popcorn vs Fries), which plot is most appropriate?
Scatter plot
Box-and-whisker plot
Bar chart of counts
Heatmap of time
Question 5: What is a reasonable reason to avoid treating options across different questions (e.g., Pizza topping vs Breakfast drink) as the same variable?
To increase file size
To ensure anonymity
Because they have numbers
They measure different concepts
Question 6: Which question type best describes entries like 'Pick a dessert! Cake or Cookies' in terms of survey design?
Open-ended question
Likert scale
Forced-choice binary question
Ranking question
Question 7: If some rows are missing responses for 'Choose a drink', what's the best first step?
Encrypt the column
Immediately drop all rows
Quantify missingness and pattern
Replace with zeros
Question 8: Which approach would best compare overall preferences across all ten questions in the file?
Aggregate counts per option by question
Compute respondent BMI
Train a convolutional net
Perform FFT