Nursing 3340A/B Lecture Notes - Lecture 9: Type I And Type Ii Errors, Analysis Of Variance, Contingency Table
7 Nov 2017
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Comparing means of two groups chi-square and t-tests. Descriptive and inferential: descriptive statistics (step i, using data to provide descriptions through numbers, calculations, graphs or tables, frequencies, central tendency, measures of dispersion. Inferential statistics (step ii: using data from a sample to make inferences and predictions about a population, types of statistical calculations are methodology dependent. Alpha level the orange (0. 05) is the critical region; we are likely to reject the null hypothesis. Non-parametric tests: used on categorical data, ordinal, nominal, normal distribution is generally not applicable, doesn"t make sense to calculate parameter estimates such as mean and sd, non-parametric test we will consider: chi-square test. 4: compares expected (e) counts with observed (o) counts. Comparing expected and observed frequencies using chi- square. Example: compares the expected frequency with the observed frequency of the dat, decision of expending a local health clinic"s hours in london yes or. Chi-square test (x2: data type, categorical (nominal) frequencies (i. e. counts or percentages)
