1. What is the purpose of data imputation?
A. To remove missing data from a dataset
B. To fill in missing values with estimates based on other data points
C. To create new features from existing ones
D. To transform data into a more manageable format
Answer: B) To fill in missing values with estimates based on other data
points
Rationale: Data imputation involves filling in missing values using
statistical techniques, such as using the mean, median, or regression
models to estimate the missing data points.
2. Which of the following is a characteristic of a normal distribution?
A. The mean, median, and mode are all equal.
B. It has a skewed shape.
C. It has multiple peaks.
D. The data is unevenly distributed.
Answer: A) The mean, median, and mode are all equal.
Rationale: In a normal distribution, the data is symmetrically
distributed around the mean, and the mean, median, and mode are all
equal.
,3. What does the interquartile range (IQR) measure in a dataset?
A. The difference between the maximum and minimum values
B. The range of the middle 50% of the data
C. The average value of the dataset
D. The spread of all values in the dataset
Answer: B) The range of the middle 50% of the data
Rationale: The interquartile range (IQR) measures the spread of the
middle 50% of the data by calculating the difference between the first
and third quartiles.
4. What is the difference between an observational study and an
experimental study?
A. In an observational study, the researcher manipulates variables.
B. An experimental study involves observation without manipulation.
C. In an observational study, the researcher observes without
intervention.
D. Experimental studies are only used for qualitative data.
Answer: C) In an observational study, the researcher observes without
intervention.
Rationale: In observational studies, researchers simply observe and
measure variables without manipulating them, while in experimental
studies, researchers actively manipulate variables to establish cause-
and-effect relationships.
, 5. Which of the following graphs is most suitable for showing trends
over time?
A. Histogram
B. Line chart
C. Pie chart
D. Box plot
Answer: B) Line chart
Rationale: Line charts are ideal for visualizing data trends over time,
especially when the data points are continuous.
6. Which of the following statements is true regarding data outliers?
A. Outliers always need to be removed from the data.
B. Outliers can indicate errors or important insights.
C. Outliers always distort the analysis.
D. Outliers should never be considered in data analysis.
Answer: B) Outliers can indicate errors or important insights.
Rationale: Outliers can represent errors or unusual events that are
important to the analysis. It's important to investigate them rather
than automatically removing them.
7. In data analysis, which term describes the proportion of variance
explained by the model?
A. R-squared
A. To remove missing data from a dataset
B. To fill in missing values with estimates based on other data points
C. To create new features from existing ones
D. To transform data into a more manageable format
Answer: B) To fill in missing values with estimates based on other data
points
Rationale: Data imputation involves filling in missing values using
statistical techniques, such as using the mean, median, or regression
models to estimate the missing data points.
2. Which of the following is a characteristic of a normal distribution?
A. The mean, median, and mode are all equal.
B. It has a skewed shape.
C. It has multiple peaks.
D. The data is unevenly distributed.
Answer: A) The mean, median, and mode are all equal.
Rationale: In a normal distribution, the data is symmetrically
distributed around the mean, and the mean, median, and mode are all
equal.
,3. What does the interquartile range (IQR) measure in a dataset?
A. The difference between the maximum and minimum values
B. The range of the middle 50% of the data
C. The average value of the dataset
D. The spread of all values in the dataset
Answer: B) The range of the middle 50% of the data
Rationale: The interquartile range (IQR) measures the spread of the
middle 50% of the data by calculating the difference between the first
and third quartiles.
4. What is the difference between an observational study and an
experimental study?
A. In an observational study, the researcher manipulates variables.
B. An experimental study involves observation without manipulation.
C. In an observational study, the researcher observes without
intervention.
D. Experimental studies are only used for qualitative data.
Answer: C) In an observational study, the researcher observes without
intervention.
Rationale: In observational studies, researchers simply observe and
measure variables without manipulating them, while in experimental
studies, researchers actively manipulate variables to establish cause-
and-effect relationships.
, 5. Which of the following graphs is most suitable for showing trends
over time?
A. Histogram
B. Line chart
C. Pie chart
D. Box plot
Answer: B) Line chart
Rationale: Line charts are ideal for visualizing data trends over time,
especially when the data points are continuous.
6. Which of the following statements is true regarding data outliers?
A. Outliers always need to be removed from the data.
B. Outliers can indicate errors or important insights.
C. Outliers always distort the analysis.
D. Outliers should never be considered in data analysis.
Answer: B) Outliers can indicate errors or important insights.
Rationale: Outliers can represent errors or unusual events that are
important to the analysis. It's important to investigate them rather
than automatically removing them.
7. In data analysis, which term describes the proportion of variance
explained by the model?
A. R-squared
