CTA Data & Stats Quiz

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Data handling & stats basics

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let's study with Richa

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CTA Data & Stats Quiz


CTA Data & Stats QuizVersion en ligne Data handling & stats basics par let's study with Richa 1 What is the primary purpose of data cleaning in statistics? a Transform all data to a single scale b Increase dataset size c Remove or correct erroneous data d Impute missing values only 2 Which measure best describes the center of a skewed distribution? a Range b Mean c Median d Mode 3 In a dataset, what does a high standard deviation indicate? a Higher correlation b Smaller sample size c Stronger central tendency d Greater dispersion of values 4 What is the purpose of a confidence interval? a Estimate a range where the true parameter lies b Show the exact population value c Prove causation d Replace the sample mean 5 Which chart is best for showing distribution of a single quantitative variable? a Pie chart b Histogram c Scatter plot d Line chart 6 What does CTAI most likely emphasize in data handling? a Aesthetics of charts b Safety and accuracy in data processing c Speed over correctness d Copying data without checks 7 Which method handles missing data by using the mean of the column? a Random sampling b Outlier removal c Deletion of rows d Imputation (mean imputation) 8 What is a p-value used to assess? a Evidence against the null hypothesis b Effect size magnitude c Data frequency over time d Probability of the data given alternative 9 Which statistic is most affected by outliers? a Mean b Median c Variance d Mode 10 In data handling, why is reproducibility important? a Prevents data loss b Allows others to verify results c Increases data size d Always improves accuracy Feedback 1 Cleaning eliminates errors that distort results and models. 2 Median is robust to outliers in skewed data. 3 Higher spread means data points vary more from the mean. 4 It quantifies uncertainty around the estimate. 5 Histograms reveal frequency distribution. 6 Ethical and accurate data handling is foundational. 7 Mean imputation fills gaps but can bias variance. 8 Low p-values suggest the data are unlikely under null. 9 Outliers pull the mean away from the center. 10 Reproducibility ensures results are trustworthy.

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CTA Data & Stats Quiz

Test

À propos de cette activité

Créé par

Téléchargez la version pour jouer sur papier

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CTA Data & Stats QuizVersion en ligne

par let's study with Richa

What is the primary purpose of data cleaning in statistics?

Which measure best describes the center of a skewed distribution?

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

What is the purpose of a confidence interval?

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

What does CTAI most likely emphasize in data handling?

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

What is a p-value used to assess?

Which statistic is most affected by outliers?

In data handling, why is reproducibility important?

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