Time Series Analysis MCQs Solution | TCS Fresco Play

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Time Series Analysis MCQs Solution  |  TCS Fresco Play

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1. Perform a monthly resample/downsample of the time series. What is the maximum value for February?

17.37


2. Perform a daily resample/upsample of the data. Do interpolation to fill the data. What is the value for Jan 12, 2011?

16.09 


3. Perform a daily resample/upsample of the data. Do a forward filling of the missing values with limit of 2. What is the value for Jan 16,2011?

15.97


4. How many observations have you seen from Jan 1, 2011 to March 31, 2011?

12


5. Perform a monthly resample/downsample of the time series. What is the minimum value for May?

16.26


6. For the XOM stock close prices time series perform a stationarity test using ADF. What is the value of the ADF statistic ?

0.91


7. For the WMT stock open prices time series perform a stationarity test using ADF. What is the p-value?

0.0028


8. For the WMT stock open prices time series perform a stationarity test using ADF. What is the value of ADF statistic?

-3.89


9. For the XOM stock close prices time series perform a stationarity test using ADF. What is the p-value?

0.99


10. For the WMT stock open prices time series perform a stationarity test using ADF. How is the time series behaving?

Stationery


11. Auto Correlation Function Plot can be used for determining if a Time Series is stationary or not.

True


12. Time Series data is indexed by _______________?

Datetime


13. If the p value is > 0.05 during the ADF test of the time series then the series is said to be ___________________.

Stationery


14. I can write my custom aggregation function while resampling my time series in Pandas.

True


15. What package in Python provides features to work with Time Zones?

Pytz


16. Augmented Dickey-Fuller test cannot be used for identifying if a Time Series is Stationary.

False


17. What does freq='T' signify while passing this parameter to the date_range() function ?

every minute


18. If the mean and variance of a Time Series is constant over time , it is called a _____________ Time Series.

Stationery


19. What is the function to offset the date for daylight saving?

Offset()


20. What is the function to plot a lag plot for a time series using python?

lag_plot()


21. What function in Python helps in creating Date Time index for data that does not have date or time values captured?

date_range()


22. When I upsample my time series and I find many missing values , how do I fill the missing values?

Interpolation


23. Down sampling is the process of converting a ______________ to __________________ frequency.

High, Low


24. What is the function used for plotting the values of a time series using Python?

plot()


25. I cannot plot resampled Time Series data in Python

False


26. In pandas I can combine two time series with different frequencies into a single time series

True


27. In Time Series data , the observations are captured over varying time intervals.

False


28. AIC Stands for

Akaike


29. What is the default aggregation function while resampling a time series in pandas

mean


29. It is a good practice to apply Forecasting models for non-stationary time series

False



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