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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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