**Due Monday June 6:**Find a time series data set of at least 100 points from your field and create an ASCII file that TIMESLAB/R can read. Use TIMESLAB/R to read and plot the data (make sure to use the**Due Monday June 13:**- Problems C1.17, T1.2, T1.12, T1.14 in the text.
- Using power transforms and differencing if necessary, try to
stabilize the variance of your data set and remove trends and cycles
(these might not be necessary). Then use the
**wntest**function to test it for white noise. Write a report describing your analysis. - Use the ``Time Series/Log Spectra'' applet until you get all the answers correct four times in a row.

**Due Thursday June 23:**- Problems T2.2, T2.5, T2.7, T2.13 in the text.

**Due Thursday July 7:**- Problems C2.5 (use the ARCORR function), C2.7 (write an R function), C2.9 (use the R function called arma).

**Due Thursday July 14:**- Use the ARMA(p,q) tester applet until you get at least 10 correct identifications.

**Due Monday July 18:**- C3.4, C3.20 (arsp), C3.21 (mapart)
- T3.4, T3.6, T3.7 (this is lots of algebra)