Chapter 7 -Normal Distributions & Probability Flashcards
Features of a Normal Distribution
1) Asymptotic tails (left and right tails continue to infinty)
2) Unimodal and symmetric (bell shaped)
3) Mean=0 and standard deviation=1
Standard Normal Distribution (z-scores) vs Normal Distribution (any scores)
The standard normal distribution is a normal distribution of z-scores whereas the normal distribution can be a distribution of any scores from any measurement
Why is probability important in research?
Researchers use probability to determine if a sample is likely or unlikely to occur in the population
Distribution of sample means (DoSM
Collection of all sample means for all possible samples of a particular size selected from a specific population
Standard Error of M
Measures the average distance (deviation) of the sample mean (M) from the population mean (µ)
Main characteristics of the sampling distribution of the mean?
1) It will be normally distributed if the population was normally distributed or if n > 30
2) The mean of the distribution of sample means will equal the population mean, μ;
3) The standard deviation of the distribution of sample means is equal to the standard error of the mean, σM = σ/√n
What does the standard error of M measures?
How well an individual sample mean represents the entire distribution
Variability of a distribution of scores is measured by ________-
standard deviation
Law of large numbers
The larger the sample size (n), the more probable it is that the sample mean will be close to the population mean
The smaller the variance in the population, the more probable it is that __________
The sample mean will be close to the population mean
Standard error of the sampling distribution of the means decreases as _________
Sample size increases
Standard deviation vs standard error
Standard deviation measures the distance between individual scores and the mean, while standard error measures the distance between sample means and the population mean.
If the test statistic is more extreme than the critical value, the null hypothesis _____
If test statistic is less than the critical value, then we ________
is rejected; fail to reject the null hypothesis