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Probability is the underlying concept of inferential statistics and forms a direct link between samples and the population that they come from. In this chapter we will focus only on the principles and ideas necessary to lay the groundwork for future inferential statistics.
- Chapter 12
Hopefully the above example made it clear that running a...
- Measures of Dispersion
Again, the problem with using range is that it is extremely...
- Glossary
Introduction to Statistics for Psychology. 20 Glossary – Key...
- Linear Regression
The math of multiple regression is very complex but the...
- Chapter 12
Computing Odds. If you roll a fair 6-sided die, what are the odds for rolling a 5 or higher? If you roll two fair 6-sided dice, what are the odds against rolling a sum of 7? If you draw a card at random from a standard deck, what are the odds for drawing a ♡ ♡?
Computing Odds. The ratio of the number of equally likely outcomes in an event E E to the number of equally likely outcomes not in the event E ′ E ′ is called the odds for (or odds in favor of) the event.
Probability refers to the likelihood of an event occurring. It can be expressed as a number (0.5) or a percentage (50%). Statistical tests allow psychologists to work out the probability that their results could have occurred by chance, and in general psychologists use a probability level of 0.05.
The field of statistics is concerned with collecting, analyzing, interpreting, and presenting data. Learn statistics and probability for free, in simple and easy steps starting from basic to advanced concepts.
- A p-value less than 0.05 (typically ≤ 0.05) is statistically significant. It indicates strong evidence against the null hypothesis, as there is les...
- A z-score describes the position of a raw score in terms of its distance from the mean when measured in standard deviation units. It is also known...
- The independent variable is the variable the experimenter manipulates or changes and is assumed to have a direct effect on the dependent variable....
- Quantitative data is numerical information about quantities and qualitative data is descriptive and regards phenomena that can be observed but not...
May 16, 2019 · If I were going to write a statistics book, it would be very close to this. This is a readable textbook appropriate for an introductory statistics course in psychology. Examples given are succinct and easy to follow.
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The classic example is tossing a fair coin. We would expect the relative frequency of either heads or tails to be 1 2. A few issues to consider with this definition are listed below. How large is large? How do you insure identical conditions? Is a coin toss really random? See the work of Persi Diaconis on this problem.
