Time Series Analysis MCQs (25)
1) Time Series data is?
A. Data collected over time intervals
B. Random text data
C. Image dataset
D. One-time survey data
2) Example of time series data?
A. Daily stock prices
B. Student names list
C. Product images
D. Static tables
3) Main goal of time series analysis?
A. Forecast future values
B. Delete data
C. Encrypt files
D. Design charts
4) Trend component represents?
A. Long-term movement in data
B. Random noise
C. Sudden spikes only
D. Missing values
5) Seasonality means?
A. Repeating patterns at fixed intervals
B. Random changes
C. Data cleaning
D. Outliers only
6) Cyclical component refers to?
A. Long-term economic cycles
B. Daily repeated data
C. Missing data
D. Duplicates
7) Random component is also called?
A. Noise
B. Trend
C. Seasonality
D. Pattern
8) Time series decomposition splits data into?
A. Trend, Seasonality, Residual
B. Rows and columns
C. Labels and targets
D. Inputs and outputs
9) Moving Average is used for?
A. Smoothing fluctuations
B. Increasing noise
C. Data storage
D. Classification
10) Stationary time series means?
A. Statistical properties remain constant
B. Data never changes
C. Only increasing values
D. Only decreasing values
11) Which model is widely used in time series forecasting?
A. ARIMA
B. K-Means
C. Decision Tree
D. Apriori
12) ARIMA stands for?
A. AutoRegressive Integrated Moving Average
B. Automatic Regression Input Model
C. Advanced Random Iterative Method
D. Analytical Regression Index Model
13) AR part in ARIMA means?
A. AutoRegression
B. Average Rate
C. Auto Ranking
D. Data Reduction
14) MA part in ARIMA means?
A. Moving Average
B. Mean Analysis
C. Model Accuracy
D. Maximum Average
15) Differencing is used to?
A. Make data stationary
B. Increase noise
C. Remove rows
D. Normalize features
16) Forecast horizon means?
A. Future time period to predict
B. Data size
C. Number of columns
D. Training time
17) Autocorrelation measures?
A. Relationship of series with its past values
B. Correlation between two datasets
C. Data cleaning accuracy
D. Feature scaling
18) PACF stands for?
A. Partial AutoCorrelation Function
B. Predictive Analysis Control Function
C. Primary Auto Calculation Feature
D. Process Auto Control Flow
19) Which metric is used for forecasting error?
A. RMSE
B. Accuracy only
C. Precision
D. Recall
20) Time series forecasting is used in?
A. Sales prediction
B. Weather forecasting
C. Demand planning
D. All of the above
21) LSTM is commonly used for?
A. Deep learning time series forecasting
B. Data cleaning
C. SQL queries
D. Dashboard design
22) Resampling in time series means?
A. Changing frequency (daily to monthly)
B. Deleting rows
C. Increasing columns
D. Data normalization
23) Rolling window analysis is used for?
A. Calculating stats over moving window
B. Data deletion
C. Feature encoding
D. Classification
24) Missing dates in time series should usually be?
A. Handled using interpolation or filling
B. Ignored always
C. Deleted permanently
D. Converted to text
25) Time Series analysis mainly helps to?
A. Understand trends and forecast future
B. Create databases
C. Install software
D. Format documents
Answer Key
1) A
2) A
3) A
4) A
5) A
6) A
7) A
8) A
9) A
10) A
11) A
12) A
13) A
14) A
15) A
16) A
17) A
18) A
19) A
20) D
21) A
22) A
23) A
24) A
25) A