Statistics and Data Analysis with Python - Questions
with Correct Answers (Verified Update)
34 questions with answers
Topic: Statistics and Data Analysis with Python
1. Descriptive Statistics
Answer: Summarizes data using central and variation measures.
2. Mean
Answer: Average value calculated from data points.
3. Median
Answer: Middle value in a sorted data set.
4. Variance
Answer: Measure of data spread around the mean.
5. Standard Deviation
Answer: Square root of variance, indicates data dispersion.
6. Range
Answer: Difference between maximum and minimum values.
7. Missing Values
Answer: Data points not recorded, handled by exclusion.
8. pandas
Answer: Python library for data manipulation and analysis.
9. NumPy
Answer: Library for numerical computing in Python.
10. Pivot Table
Answer: Summarizes detailed data into descriptive statistics.
11. Rolling Method
Answer: Calculates moving statistics over a specified window.
12. Moving Average
Answer: Average calculated over a moving window of data.
13. T Test
Answer: Statistical test comparing means of two populations.
14. p-value
Answer: Probability measure to determine statistical significance.
15. Confidence Interval
Answer: Range estimating true parameter with specified confidence.
16. Skewness
Answer: Measure of asymmetry in a data distribution.
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with Correct Answers (Verified Update)
34 questions with answers
Topic: Statistics and Data Analysis with Python
1. Descriptive Statistics
Answer: Summarizes data using central and variation measures.
2. Mean
Answer: Average value calculated from data points.
3. Median
Answer: Middle value in a sorted data set.
4. Variance
Answer: Measure of data spread around the mean.
5. Standard Deviation
Answer: Square root of variance, indicates data dispersion.
6. Range
Answer: Difference between maximum and minimum values.
7. Missing Values
Answer: Data points not recorded, handled by exclusion.
8. pandas
Answer: Python library for data manipulation and analysis.
9. NumPy
Answer: Library for numerical computing in Python.
10. Pivot Table
Answer: Summarizes detailed data into descriptive statistics.
11. Rolling Method
Answer: Calculates moving statistics over a specified window.
12. Moving Average
Answer: Average calculated over a moving window of data.
13. T Test
Answer: Statistical test comparing means of two populations.
14. p-value
Answer: Probability measure to determine statistical significance.
15. Confidence Interval
Answer: Range estimating true parameter with specified confidence.
16. Skewness
Answer: Measure of asymmetry in a data distribution.
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