Basic statistics - a full course
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$25.00
$25.00
This product consists of 47 PDFs covering almost all videos in my play list "Basic statistics - a full course" [June 2022] on youtube. Newer videos might not be included in this product. See which videos that are included below:
01_Population vs Sample.pdf
02_Mean, median and mode.pdf
03_Range, interquartile range (IQR) and box plots.pdf
04_Standard deviation - how to calculate the SD and variance.pdf
05_Why do we divide by n-1 and not n - shown with a simple example - variance and sd.pdf
06_The normal distribution - how to interpret and use it.pdf
07_The central limit theorem - Explained with a simple example.pdf
08_The standard error of the mean (SEM) - how to calculate and interpret, SE vs SD.pdf
09_Confidence intervals - simply explained.pdf
10_The t-distribution - why we need it, explained with confidence intervals.pdf
11_The one-sample t-test and p-values.pdf
12_t-test VS confidence intervals.pdf
13_The degrees of freedom - explained with a simple example.pdf
14_The basic steps of hypothesis testing.pdf
15_The unpaired t-test - Independent samples t-test.pdf
16_The paired t-test - explained with a simple example.pdf
17_Paired vs unpaired t-test.pdf
18_One-way ANOVA - the basics.pdf
19_One-way ANOVA - the calculations - step-by-step.pdf
20_The repeated-measures ANOVA - explained with a simple example.pdf
21_The geometric mean.pdf
22_Variables and scales in statistics.pdf
23_One-proportion Z-test and the corresponding confidence interval.pdf
24_The Chi-square goodness of fit test and the difference to the one-proportion Z-test.pdf
25_The two proportion z-test and the Chi-square test of homogeneity.pdf
26_The Chi-square test of independence VS homogeneity and goodness of fit.pdf
27_The McNemar test.pdf
28_The Mann Whitney U test (Wilcoxon Mann Whitney test) part 1.pdf
29_The Mann Whitney U test (Wilcoxon Mann Whitney test) part 2 - exact p-value.pdf
30_The Wilcoxon signed-rank test & the sign test.pdf
31_The basics of type 1 and 2 errors - explained with a simple example.pdf
32_The probability of making a type 1 error.pdf
33_The probability of making a type 2 error - explained with a simple example (part 1).pdf
34_The probability of making a type 2 error - explained with a simple example (part 2).pdf
35_Statistical power and sample size calculations.pdf
36_p-values - a deeper understanding - alpha - t-statistics.pdf
37_Correlation - the basics - Pearson correlation.pdf
38_Correlation - hypothesis testing and assumptions.pdf
39_Spearman's rank correlation - Pearson VS Spearman.pdf
40_Linear regression - the basics for beginners.pdf
41_Least squares - explained with a simple numeric example.pdf
42_Linear regression - hypothesis testing.pdf
43_Linear regression - the R-squared value.pdf
44_Multiple linear regression - explained with two simple examples.pdf
45_Permutations Combinations and the Hypergeometric distribution.pdf
46_Fisher's test and how to calculate the exact p-value.pdf
47_How to choose an appropriate statistical test.pdf
48_Assumptions in Regression.pdf
01_Population vs Sample.pdf
02_Mean, median and mode.pdf
03_Range, interquartile range (IQR) and box plots.pdf
04_Standard deviation - how to calculate the SD and variance.pdf
05_Why do we divide by n-1 and not n - shown with a simple example - variance and sd.pdf
06_The normal distribution - how to interpret and use it.pdf
07_The central limit theorem - Explained with a simple example.pdf
08_The standard error of the mean (SEM) - how to calculate and interpret, SE vs SD.pdf
09_Confidence intervals - simply explained.pdf
10_The t-distribution - why we need it, explained with confidence intervals.pdf
11_The one-sample t-test and p-values.pdf
12_t-test VS confidence intervals.pdf
13_The degrees of freedom - explained with a simple example.pdf
14_The basic steps of hypothesis testing.pdf
15_The unpaired t-test - Independent samples t-test.pdf
16_The paired t-test - explained with a simple example.pdf
17_Paired vs unpaired t-test.pdf
18_One-way ANOVA - the basics.pdf
19_One-way ANOVA - the calculations - step-by-step.pdf
20_The repeated-measures ANOVA - explained with a simple example.pdf
21_The geometric mean.pdf
22_Variables and scales in statistics.pdf
23_One-proportion Z-test and the corresponding confidence interval.pdf
24_The Chi-square goodness of fit test and the difference to the one-proportion Z-test.pdf
25_The two proportion z-test and the Chi-square test of homogeneity.pdf
26_The Chi-square test of independence VS homogeneity and goodness of fit.pdf
27_The McNemar test.pdf
28_The Mann Whitney U test (Wilcoxon Mann Whitney test) part 1.pdf
29_The Mann Whitney U test (Wilcoxon Mann Whitney test) part 2 - exact p-value.pdf
30_The Wilcoxon signed-rank test & the sign test.pdf
31_The basics of type 1 and 2 errors - explained with a simple example.pdf
32_The probability of making a type 1 error.pdf
33_The probability of making a type 2 error - explained with a simple example (part 1).pdf
34_The probability of making a type 2 error - explained with a simple example (part 2).pdf
35_Statistical power and sample size calculations.pdf
36_p-values - a deeper understanding - alpha - t-statistics.pdf
37_Correlation - the basics - Pearson correlation.pdf
38_Correlation - hypothesis testing and assumptions.pdf
39_Spearman's rank correlation - Pearson VS Spearman.pdf
40_Linear regression - the basics for beginners.pdf
41_Least squares - explained with a simple numeric example.pdf
42_Linear regression - hypothesis testing.pdf
43_Linear regression - the R-squared value.pdf
44_Multiple linear regression - explained with two simple examples.pdf
45_Permutations Combinations and the Hypergeometric distribution.pdf
46_Fisher's test and how to calculate the exact p-value.pdf
47_How to choose an appropriate statistical test.pdf
48_Assumptions in Regression.pdf