Summary: Introduction To Statistical Methods And Data Analysis | 9780495109143 | R Lyman Ott, et al
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Read the summary and the most important questions on Introduction to Statistical Methods and Data Analysis | 9780495109143 | R. Lyman Ott, Michael Longnecker.
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1 Week 1
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1.1.1 Inference for one or two sample situations
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Bij een one-sided test (alpha=0.05) gebruik je in tabel 2, 0.05 of 0.025?
0.05
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1.1.1.1 Two samples
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How is it possible the two p-values are not the same?
df and approximate df are not the same.
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How is it possible t and t` ( values test statistic) are the same for two independent samples?
The sample sizes are the same
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1.2.2 Smaple size calculations
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A type 2 error is denoted by?
Beta
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What is the difference between a type 1 and a type 2 error?
Type 1: Alpha, maximum chance of falsely rejecting H0.
Type2: Beta, chance of falsely not rejecting H0 while Ha is true.
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1.3.1.1 Two indep. samples
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If there is a tie on places 10 and 11 what numbers do the two values get?
10.5
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3 Week 3
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3.3 Describing data on a single variable: graphical methods
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One way to display data graphically, is the pie chart. Obtain clarity of presentation in pie charts by:
- Choose a small number (five or six) of categories for the variable because too many make the pie chart difficult to interpret.
- Whenever possible, construct the pie chart so that percentages are in either ascending or descending order.
- Choose a small number (five or six) of categories for the variable because too many make the pie chart difficult to interpret.
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A second graphical technique is the bar chart:
- Label frequencies one axis and categories of the variable on the other axis.
- Construct a rectangle at each categorie of the variable with a height equal to the frequency in the category.
- Leave a space between each category to connote distinct, separate categories and to clarify the presentation.
- Label frequencies one axis and categories of the variable on the other axis.
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Common shapes for relative frequency histograms:
- Unimodal: a histogram with one major peak
- Bimodal: a histogram with two major peaks
- Uniform: every interval has the same number of observations
- Symmetric: the right and the left side have essentially the same shape
- Skewed to the right: when the right side of the histogram,, containing the larger half of the observations in the data, extends a greater distance than the left side (skewed to the left vice versa).
- Unimodal: a histogram with one major peak
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A time series is:
A pictorial method of presenting changes in a variable over time. Usually, the time points are labeled chronologically across the horizontal axis and the numerical values of the variable of interest are labeled along the vertical axis.
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