Here is the list of additional chapters, related to every chapter from the textbook, that you might explore if you want to learn more:
Chapter 1 A1Wa Histograms with unequal class widths .docx.xlsx A1Wb Frequency polygon .docx.xlsx A1Wc Cumulative frequency curve .docx.xlsx A1Wd Superimposing two sets of data onto one graph .docx.xlsx A1We Using Excel to create a box plot .docx.xlsx Chapter 2 A2Wa Inferring the population skewness value from the sample .docx.xlsx A2Wb Inferring the population kurtosis value from the sample .docx.xlsx A2Wc Chebyshev’s theorem .docx.xlsx A2Wd Measures of average and dispersion for a frequency distribution .docx.xlsx A2We Generating a grouped frequency distribution from raw data using SPSS .docx Chapter 3 A3Wa The probability laws - Introduction to the concept of probability and probability laws .docx.xlsx A3Wb Probability distributions and approximations .docx.xlsx A3Wc Other useful probability distributions .docx.xlsx Chapter 4 AW4 Use SPSS to demonstrate the Central Limit Theorem .docx Chapter 5 AW5 Resampling with Replacements (Bootstrapping) .docx Chapter 6 A6Wa Common assumptions about data .docx A6Wb Meaning of the p-value .docx A6Wc Statistical power and type II error .docx.xlsx Chapter 7 A7Wa Two-sample z test using Excel .docx.xlsx A7Wb Comparing population variances: variance ratio F test and Levene’s test .docx.xlsx A7Wc Welch ANOVA test .docx.xlsx
Chapter 8 A8Wa Chi-square goodness of fit .docx.xlsx A8Wb Chi-square test for one population variance .docx.xlsx A8Wc Chi-square test for normality .docx.xlsx Chapter 9 A9Wa Testing the significance of linear correlation between the two variables .docx.xlsx A9Wb Testing the significance of Spearman rank correlation coefficient .docx.xlsx A9Wc The use of the t-test to test whether the predictor variable is a significant contributor .docx.xlsx A9Wd The use of the F-test to test whether the predictor variable is a significant contributor .docx.xlsx A9We Confidence interval estimate for the slope .docx.xlsx A9Wf Autocorrelation .docx.xlsx A9Wg Standard error for the autocorrelation function .docx.xlsx A9Wh Significance of the autocorrelation coefficients and evaluation .docx.xlsx A9Wi Partial autocorrelation coefficient .docx.xlsx A9WJ Error and residual inspection .docx.xlsx A9Wk Non-linear regression analysis .docx.xlsx A9Wl Multiple regression analysis .docx.xlsx A9Wm Linear regression and Durbin Watson test for autocorrelation .docx.xlsx A9Wn Regression goodness of fit .docx.xlsx Chapter 10 A10Wa Other types of trends .docx A10Wb Index numbers refresher .docx.xlsx Chapter 11 A11Wa Different ways to implement exponential smoothing forecasting in Excel .docx.xlsx A11Wb Excel ETS seasonal exponential forecasting .docx.xlsx