SOCI 217 Lecture Notes - Null Hypothesis, Inter-Rater Reliability, Dependent And Independent Variables
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Factors to consider: amount of evidence needed statistic, significance of the evidence critical value, coincidence or not coincidence p-value. E. g: p < 0. 05 versus p < 0. 01. Means: 5% chance or less that the results due to chance versus 1% chance that the results are due to chance. The former is weaker than the latter. To know whether or not exists relationship between the variables being tested. To compare whether the data is random (theoretical frequencies) with the data obtained through observation (observed frequencies) The tests can use one sample or multiple sample. Information needed when calculating chi-square: identify null or research hypotheses, calculate what should happen if there"s no pattern, compare this with the actual values, determine the significance of the statistic. Identify whether it is p < c. v or p > c. v. Identify the degree of freedom: accept or reject the null hypotheses. Goals: to describe the content of a message.
