Statistics Without Tears: An Introduction for Non-Mathematicians

By:

Rowntree, Derek

Material type: Text

TextPublication details: UK Penguin Random House 2018Description: 199pISBN:

9780141987491

DDC classification:

R798 Q07

Contents:

1. Statistical inquiry Making sense of experience What is statistics? Descriptive and inferential statistics Collecting a sample 2. Describing our sample Statistical variables Error, accuracy and approximations 3. Summarizing our data Tables and diagrams Central tendency (averages) Measures of dispersion 4. The shape of a distribution Skewed distributions Introducing the normal distribution Proportions under the normal curve Comparing values 5. From sample to population Estimates and inferences The logic of sampling A distribution of sample-means Estimating the population-mean Estimating other parameters 6. Comparing samples From the same or different populations? Significance testing The significance of significance Comparing dispersions Non-parametric methods 7. Further matters of significance One-versus two-tailed tests z-tests and t-tests Comparing several means Comparing proportions 8. Analysing relationships Paired values Three kinds of correlation The strength of a correlation The significance of a correlation coefficient Interpreting a correlation coefficient Prediction and regression

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Books	DVK Library Stack -> Third Floor -> Q	Q07 R798 (Browse shelf(Opens below))	Available		11081009

1. Statistical inquiry
Making sense of experience
What is statistics?
Descriptive and inferential statistics
Collecting a sample
2. Describing our sample
Statistical variables
Error, accuracy and approximations
3. Summarizing our data
Tables and diagrams
Central tendency (averages)
Measures of dispersion
4. The shape of a distribution
Skewed distributions
Introducing the normal distribution
Proportions under the normal curve
Comparing values
5. From sample to population
Estimates and inferences
The logic of sampling
A distribution of sample-means
Estimating the population-mean
Estimating other parameters
6. Comparing samples
From the same or different populations?
Significance testing
The significance of significance
Comparing dispersions
Non-parametric methods
7. Further matters of significance
One-versus two-tailed tests
z-tests and t-tests
Comparing several means
Comparing proportions
8. Analysing relationships
Paired values
Three kinds of correlation
The strength of a correlation
The significance of a correlation coefficient
Interpreting a correlation coefficient
Prediction and regression

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