IOP2601 Assessment 3 Due: 9 May 2023
Organisational Research Methodology
Semester 1/ 2023
Question 1.1. – True- The single-sample t-test is used when you have a single set of scores and are
investigating whether the mean of this sample equals a known mean.
Semester 1/ 2023
Question 1.1. – True- The single-sample t-test is used when you have a single set of scores and are
investigating whether the mean of this sample equals a known mean.
, QUESTION ANSWERS
NUMBER
QUESTION 1
1.1. True- The single-sample t-test is used when you have a single set of scores and are
investigating whether the mean of this sample equals a known mean.
P.G. 159 Textbook
1.2. False- A Type II error is made by not rejecting the null hypothesis when it is false.
P.G. 267 Textbook
1.3. True- ANOVA allows us to test for differences between more than two group means and to
examine the effects of more than one independent variable.
P.G. 290 Textbook
1.4. False- ANOVA is an acronym for Analysis of Variance
P.G. 289 Textbook
1.5. False- A Type I error is made by rejecting the null hypothesis when it is in fact true.
P.G. 134 Textbook
1.6. True- A Chi-Square test is typically used to test for association between two categorical
variables.
P.G. 474 Textbook
QUESTION 2
P.G. 115-117 S.G
2.1. Null hypothesis- Is a negative statement about a possible difference between the
variables that we want to study. We state that there is no difference between whatever we
are researching or that both variables are equally big, tall and heavy.
For example, a research question states: An industrial psychologist wants to determine
whether there is a significant difference between the emotional intelligence scores of
participants to New Stars and contestants selected to participate in New Stars.
An example of the null hypothesis would be: there is no difference between the
emotional intelligence scores of applicants and contestants.
Alternative hypothesis- It is not negative, it is affirmative and similar to the research
hypothesis or question. It states that there is a difference between whatever is being
measured. An example of an alternative hypothesis would be: there is a difference
between the emotional intelligence scores of applicants and contestants.
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