NSE 212: Final exam| Exam Ques ons and answers |
Updated RATED A+ | NEW
parametric test
an inferen al sta s cal analysis based on a set of assump ons about the popula on
parametric test assump ons
1. Dv measured at interval and ra o level
2. Sample data is normally distributed and large (30+)
3. variences are homegenous
ra o level of measurement
data is grouped into cathegories that are ranked, have significant differences, and has absolute 0
age in years, BP, HR, weight
interval level of measurement
A measurement of a variable in which the numbers indica ng a variable's values represent fixed
measurement units but have no absolute, or fixed, zero point
ex: linkert scales, distance, temp)
nominal level of measurement
data grouped in no specific order
ex: yes or no, true or false
ordinal level of measurement
classifies data into categories that can be ranked; however, precise differences between the
ranks do not exist
ex: stages of cancer
degree of freedom for independent t-tests
, df= N-2
N (number of par cipants)
degree of freedom for dependent(paired) t-tests
df= N-1
when are indepedent t-tests used?
- when the partcipants are tested only once
-independent groups
-experimental and quasi-experimental design
degree of freedom of one-way ANOVA test b/w groups
df=K-1
k= # of groups
degree of freedom of one-way ANOVA test w/i groups
df= N-K
k= # of groups
N= total sample size
One-way/ simple ANOVA
tests difference in mean b/w 2+ independent groups
in rela on to one variable (Only one independent variable)
F-test
used for ANOVA
to see if there is a difference b/w mean of 2+ groups due to chance or interven on
-larger F test: more chance of being sta s cally significant
DOES NOT tell which means are significantly different
F test formula
variance b/w groups divided by variance w/o
Updated RATED A+ | NEW
parametric test
an inferen al sta s cal analysis based on a set of assump ons about the popula on
parametric test assump ons
1. Dv measured at interval and ra o level
2. Sample data is normally distributed and large (30+)
3. variences are homegenous
ra o level of measurement
data is grouped into cathegories that are ranked, have significant differences, and has absolute 0
age in years, BP, HR, weight
interval level of measurement
A measurement of a variable in which the numbers indica ng a variable's values represent fixed
measurement units but have no absolute, or fixed, zero point
ex: linkert scales, distance, temp)
nominal level of measurement
data grouped in no specific order
ex: yes or no, true or false
ordinal level of measurement
classifies data into categories that can be ranked; however, precise differences between the
ranks do not exist
ex: stages of cancer
degree of freedom for independent t-tests
, df= N-2
N (number of par cipants)
degree of freedom for dependent(paired) t-tests
df= N-1
when are indepedent t-tests used?
- when the partcipants are tested only once
-independent groups
-experimental and quasi-experimental design
degree of freedom of one-way ANOVA test b/w groups
df=K-1
k= # of groups
degree of freedom of one-way ANOVA test w/i groups
df= N-K
k= # of groups
N= total sample size
One-way/ simple ANOVA
tests difference in mean b/w 2+ independent groups
in rela on to one variable (Only one independent variable)
F-test
used for ANOVA
to see if there is a difference b/w mean of 2+ groups due to chance or interven on
-larger F test: more chance of being sta s cally significant
DOES NOT tell which means are significantly different
F test formula
variance b/w groups divided by variance w/o
