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The Awakening Trial

Total questions: 25

Worksheet time: 13mins

Name
Class
Date
1.

1. The Sphinx awakens, demanding logic. Which measure is most affected by outliers?

a)

Mean

b)

Median

c)

Mode

d)

Range

2.

2. The commander’s scroll holds ‘Male’, ‘Female’, ‘Other’. What type of data is this?

a)

Age

b)

Gender

c)

Salary

d)

Score

3.

3. The Sphinx frowns at multicollinearity. What does it cause in regression?

a)

Model underfitting

b)

Biased coefficients

c)

Unstable coefficients

d)

Missing values

4.

4. Two features mirror each other too closely in your model. What will you check?

a)

p-value

b)

VIF

c)

RMSE

d)

Z-score

5.

5. The Sphinx reveals skewed income data. What transformation should you try first?

a)

Square

b)

Log

c)

Standardize

d)

Mean Substitution

6.

6. The scroll has 10% missing entries in a skewed numerical column. Best imputation?

a)

Mean

b)

Median

c)

Mode

d)

Drop-down column

7.

7. A chart in the temple compares parts of a whole. What kind is it?

a)

Histogram

b)

Box Plot

c)

Pie Chart

d)

Scatter Plot

8.

8. The commander wants to track trends over time. Which visual should he use?

a)

Pie Chart

b)

Line Chart

c)

Scatter Plot

d)

Heat Map

9.

9. What does a box in a box plot represent?

a)

Standard Deviation

b)

Confidence Interval

c)

Mean and Median

d)

Inter-quartile range

10.

10. The ancient model classifies emails as spam or not. Which algorithm suits this best?

a)

K-means

b)

Linear Regression

c)

Logistic Regression

d)

PCA

11.

11. The vaults echo with imbalance. The dataset has 80% of one class, 20% of another. What issue does this represent?

a)

Outliers

b)

Multicollinearity

c)

Low Variance

d)

Class Imbalance

12.

12. The commander uses a regression model for prediction. R² = 0.05. What does this mean?

a)

Excellent fit

b)

Model explains very little

c)

Model is overfitted

d)

Data has no correlation

13.

13. The ancient system records “Yes”/“No” as 1 and 0. What is this called?

a)

Binning

b)

Normalization

c)

One-Hot Encoding

d)

Binary Encoding

14.

14. The Sphinx offers two features with high correlation. What risk is this in linear regression?

a)

Heteroscedasticity

b)

Multicollinearity

c)

Overfitting

d)

Low p-value

15.

15. The cursed commander misused p-values. A very low p-value (< 0.05) indicates what?

a)

Accept null hypothesis

b)

Reject null hypothesis

c)

Correlation is high

d)

Data is skewed

16.

16. The Realm of Visuals shows sales vs. time. Trendline moves upward.

a)

Positive

b)

Negative

c)

Inverse

d)

No correlation

17.

17. A team wants to analyze a relationship between categorical variables. Choose:

a)

t-test

b)

ANOVA

c)

Chi-square Test

d)

Regression

18.

18. A team builds a model that performs great on training but poorly on test data.

a)

Overfitting

b)

Underfitting

c)

Low bias

d)

High variance

19.

19. In the Realm of Feedback, precision = 0.80, recall = 0.60. What is the F1 score?

a)

0.68

b)

0.70

c)

0.60

d)

0.75

20.

20. The corrupted model misclassifies 30% of the time. What’s the accuracy?

a)

70%

b)

30%

c)

85%

d)

Not enough info

21.

21. In the Realm of Excelor, what does =VLOOKUP() help with?

a)

Vertical sorting

b)

Fetching data based on key

c)

Filtering duplicates

d)

Creating pivot tables

22.

22. The Sphinx hands over two variables: age and income. What chart shows their relationship?

a)

Line Chart

b)

Bar Chart

c)

Scatter Plot

d)

Pie Chart

23.

23. The scroll shows missing values. Which is NOT a valid method to handle them?

a)

Mean Imputation

b)

Dropping rows

c)

Creating dummy variable

d)

Replacing with outlier

24.

24. Which technique is used to reduce the number of features while preserving variance?

a)

Clustering

b)

PCA

c)

Regression

d)

Cross-validation

25.

25. The Sphinx smiles—your trial nears completion. One last riddle before the first key is yours. To test two ad creatives on different user groups and determine which performs better, what method should you use?

a)

Chi-square

b)

A/B Testing

c)

K-Means

d)

PCA