
Time Series & Cross Section Data
Quiz
•
Mathematics
•
12th Grade
•
Practice Problem
•
Hard
Ms Rajan
Used 1+ times
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What type of data involves observations taken at different points in time?
Panel data
Cross-sectional data
Time series data
Longitudinal data
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Give an example of time series data.
Hourly temperature readings for a single day
Yearly population growth of a city
Monthly sales data for a company
Daily stock prices over a year
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What type of data involves observations taken at a single point in time?
Cross-sectional data
Panel data
Time-series data
Longitudinal data
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Provide an example of cross-sectional data.
A study conducted over a period of 10 years to track changes in income levels
A research project analyzing the impact of a new policy on a specific group of individuals
A case study examining the relationship between education level and job satisfaction
A survey conducted on a specific day to gather information about people's preferences.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In time series data, what is the independent variable typically representing?
Frequency
Magnitude
Time
Seasonality
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is cross-sectional data different from time series data?
Cross-sectional data is only qualitative, while time series data is only quantitative.
Cross-sectional data is collected over multiple time points for a single entity, while time series data is collected at a single point in time across different entities.
Cross-sectional data is collected at a single point in time across different entities, while time series data is collected over multiple time points for a single entity.
Cross-sectional data is always more accurate than time series data.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a common method used to analyze time series data?
K-means clustering
Logistic regression
ARIMA model
Linear regression
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