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CTA Data & Stats Quiz

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CTA Data & Stats Quiz

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Data handling & stats basics

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let's study with Richa
let's study with Richa
India

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CTA Data & Stats Quiz
 

CTA Data & Stats QuizOnline version

Data handling & stats basics

by let's study with Richa
1

What is the primary purpose of data cleaning in statistics?

2

Which measure best describes the center of a skewed distribution?

3

In a dataset, what does a high standard deviation indicate?

4

What is the purpose of a confidence interval?

5

Which chart is best for showing distribution of a single quantitative variable?

6

What does CTAI most likely emphasize in data handling?

7

Which method handles missing data by using the mean of the column?

8

What is a p-value used to assess?

9

Which statistic is most affected by outliers?

10

In data handling, why is reproducibility important?

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Cleaning eliminates errors that distort results and models.

Median is robust to outliers in skewed data.

Higher spread means data points vary more from the mean.

It quantifies uncertainty around the estimate.

Histograms reveal frequency distribution.

Ethical and accurate data handling is foundational.

Mean imputation fills gaps but can bias variance.

Low p-values suggest the data are unlikely under null.

Outliers pull the mean away from the center.

Reproducibility ensures results are trustworthy.

 
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