TOTAL AREA DETAILS QUICK PASS HELP
⩥ 1. Parametric test
2. Non-parametric test. Answer: Types of Statistical test
⩥ Non-parametric. Answer: Can be used on ordinal and nominal scale
data (although also on interval and ratio scale).
⩥ Non-parametric. Answer: Can be used on small samples.
⩥ Non-parametric. Answer: Can be used on data that are not normally
distributed.
⩥ Non-parametric. Answer: Can be used where the samples are not
selected randomly.
⩥ Non-parametric. Answer: Have less power than the equivalent
parametric test
⩥ Parametric. Answer: Used mainly on interval and ratio scale data.
, ⩥ Parametric. Answer: More powerful than non- parametric
equivalent.
⩥ Parametric. Answer: Tend to need larger samples.
⩥ Parametric. Answer: Samples should be drawn randomly from the
population
⩥ Parametric. Answer: Data should fit a
particular distribution;
the data can be transformed to that distribution
⩥ Unpaired test (Student or welch test. Answer: -Independent t test
-is used to compare observations from two study groups when the
groups are not matched.
⩥ z test. Answer: a statistical test procedure that uses a sample
statistic having a normal distribution
⩥ t test. Answer: -dependent variable is at the interval/ratio level
-the data are independent not correlated
⩥ One group t test. Answer: • This test compares the mean of your
data set against the hypothesized population mean for your data to