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Chapter 6: Probability, Chapter 7: Distribution of Sampling Means - Coggle…
Chapter 6: Probability
Probability: defined as a fraction or a proportion of all the possible outcomes. If the possible outcomes are identified as A, B, C, D, and so on
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Independent random sampling requires that each individual has an equal chance of being selected and that the probability of being selected stays constant from one selection to the next if more than one individual is selected. .
Probability values are expressed as decimals in most instances but can take different forms (i.e fractions)
A sample obtained with this technique is called an independent random sample or simply a random sample
Sampling with a Replacement: The process necessary to return each individual to the population before making the next selection.
Probability of Random Samples has two requirements:
- Every individual in the population has an equal chance of being selected
- When more than one individual is being selected the probabilities must stay constant, i.e sampling with replacement
Normal Distribution: provides extremely accurate models for computing binomial probabilities in many situations
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Probability in Inferential Statistics: it's used to predict the type of samples that are likely to be obtained from a population, showing their connection, which inferential statistics relies on in order to have a basis for making conclusions on the determined populations
Unit normal Table: a table consisting of proportions corresponding to each z-score in a normal distribution.
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