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Basic concepts inherent in the residual perspective on social welfare policy and program development include:
P-Value
The probability of observing data as extreme as, or more than, what was actually observed, assuming the null hypothesis is true.
Sample Proportion
The ratio of members in a sample that have a particular attribute to the total number of members in that sample.
Sample Size
The number of observations or datapoints collected in a sample, critical in determining the precision of estimates and power of statistical tests.
Type II Error
The statistical mistake of failing to reject a null hypothesis when it is actually false.
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