NEW
Font size
WorksheetsMA102-Group 2- Quiz
Total questions: 20
Worksheet time: 12mins
It is generally referring to a type of statistical analysis that is conducted following the rejection of an omnibus null hypothesis.
theories
analysis
post analysis
post hoc-analysis
It is used only after we find a statistically significant result and need to determine where our differences truly came from.
Bonferroni test
omnibus test
post hoc test
Scheffe's test
It is a series of t-test performed on each pair of groups.
Bonferroni test
omnibus test
post hoc test
Scheffe's test
It is a procedure for testing the difference among different groups of data for homogeneity.
ANOBA
ANCOVA
ANOVA
ADOBE
A Type of ANOVA that investigates two factors at the same time.
One-way ANOVA
Two-way ANOVA
three-Way ANOVA
nONE OF THE aBOVE
What is the first step of ANOVA technique?
work out the mean of the sample means
find the sum of squares of deviations for total variance
obtain the variance or mean square (MS) within samples
obtain the mean of each sample
It is a statistics test where normal distribution and is absically used for dealing with problems realating to large samples when n ≥ 30, where n = sample size.
T-test
Z- TEST
ANOVA
ANCOVA
It is denoted by H0 and states that there is no relationship between the two variables being studied ( one variable does not affect other). It states results are due to chance and are not significant in terms of supporting the idea being investigated.
Hypothesis
Alternative Hypothesis
Null Hypothesis
Inferential statistics
What is the first thing that you will do to analyze your data using Z-test?
Find the Z-test value right away
Make a conclusion
Find the critical value
State the null and alternative hypothesis
The following are the differences between ANOVA and ANCOVA except :
ANOVA are statistical models and techniques used to observe the difference between variables while ANCOVA is an ANOVA model
ANOVA uses both linear and non-linear models while Ancova uses a general linear model.
ANCOVA has a covariate while ANOVA does not
ANCOVA IS USED TO COMPARE AND contrasts the means of two or more populations, while ANOVA is used to compare one variable in two or more populations while considering other variables
ANCOVA is not a general linear model which blends ANOVA and Regression.
true
false
maybe
none of the above
What is the purpose of ANOVA?
Decrease sensitivity of F-test
Remove predictable variance from the error term
Improve the power of analysis
used to compare one variable in two or more populations while considering other variables
it is a type of non- experimental research method in which a researcher measures two variables, understands and assesses the statistical relationships between them with no influence from the extraneous variable
Correlational Research
Research
ANOVA
ANCOVA
It is the most common method of correlational research; especially in fields like psychology. it involves random sampling of the variables or the subject in the research in which the participants fill a questionnaire centered on the subject interest.
survey method
interview
research
inquiry
It is an important value in correlational research that indicates whether the inter- relationships between two variables is positive, negative or non-existent. it is usually presented with the sign [ r] and is part of the range of possible correlation coefficients from -1.0 to + 1.0.
Correlational Coefficient
Correlational Research
Correlational Measures
Survey Method
This testing these ideas to figure out which one works and which one is best left behind, is called
Hypothesis testing
Research Testing
Data Testing
Variance Testing
is a statistical test that is used to compare the means of two groups.
F-Test
Z-TEST
T-TEST
ANCOVA
It is calculated by taking the differences between each number in the data set and the mean, then squaring the differences to make them positive, and finally dividing the sum of the squares by the number of values in the data set.
freedom of difficulty
variance
mean
none of the above
What is the use/ purpose of T-test?
to determine whether a process or treatment actually has an effect on the population of interest, or whether two groups are different from one another.
To determine the conclusions
to determine whether two groups are different from one another.
all of the above
one in which a difference (or an effect) between two or more variables is anticipated by the researchers; that is, the observed pattern of the data is not due to a chance occurrence.
Null Hypothesis
alternative hypothesis
hypothesis alone
hypothesis testing
