BIOSTATS END UNIT SCORE FILE 2026
NEWEST PART DATA FOR FAST FINISH
⩥ 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
determine if the difference between these two values is "large
enough" to be considered a "significant difference."
NEWEST PART DATA FOR FAST FINISH
⩥ 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
determine if the difference between these two values is "large
enough" to be considered a "significant difference."
