MMC 3420 Exam 1 | Questions with 100% Verified Answers | Latest Update
Question: What is an independent variable?
Answer:
The variable you think is the CAUSE
Question: What is a dependent variable?
Answer:
The variable that you think is effected by the I.V. The EFFECT
Question: When do you pose a hypothesis instead of a Research Question?
Answer:
When previous data, theory, or research backs up your claim
Question: What makes a good hypothesis?
Answer:
Clear, concise, testable (There are other qualities . . .)
Question: What makes a hypothesis one-tailed instead of two-tailed?
Answer:
It predicts the direction of change in the D.V., based on the direction/category of the I.V.
Question: What is a null hypothesis?
Answer:
The logical alternative to the hypothesis; What we submit to significance testing
Question: Why do we do significance testing?
Answer:
To determine if the observed difference is, meaningful or due to the I.V. we've proposed
Question: Do one or two tailed hypothesis testing offer a more forgiving, or easier to find significance
type of test?
Answer:
Two-tailed, because you look for differences in any direction - the right (positive) and the left (negative)
Question: What's the difference between a significant finding and finding with a large effect size?
Answer:
Significant findings are real, beyond chance, effect size has to do with the strength or magnitude of that
, Question: Hypothesis Application
Answer:
H1: The amount of time students spend on social media is related to their GPA. H2: Female students
spend more time on social media than male students.
Question: What is the independent variable?
Answer:
H1: Time spent on social media; H2: Gender
Question: What is the dependent variable?
Answer:
H1: GPA H2: Time spent on social media
Question: Is it a one or two tailed test?
Answer:
H1: Two-tailed H2: One-tailed
Question: What is the null hypothesis?
Answer:
H1: Time spent on social media is unrelated to GPA, H2: Gender has no influence on time spent on
social media
Question: If H2 is supported by the data, what do you do with the null hypothesis?
Answer:
Reject it
Question: Which hypothesis' null hypothesis has a more conservative, harder to reach criterion to reach
significance?
Answer:
or H2
Question: If significance testing reveals that there are significant differences as predicted, does that mean
that influence of the independent variable on the dependent variable is equal for both hypotheses?
Answer:
No, the associated effect size with each test would tell us that
Question: What is a distribution composed of?
Question: What is an independent variable?
Answer:
The variable you think is the CAUSE
Question: What is a dependent variable?
Answer:
The variable that you think is effected by the I.V. The EFFECT
Question: When do you pose a hypothesis instead of a Research Question?
Answer:
When previous data, theory, or research backs up your claim
Question: What makes a good hypothesis?
Answer:
Clear, concise, testable (There are other qualities . . .)
Question: What makes a hypothesis one-tailed instead of two-tailed?
Answer:
It predicts the direction of change in the D.V., based on the direction/category of the I.V.
Question: What is a null hypothesis?
Answer:
The logical alternative to the hypothesis; What we submit to significance testing
Question: Why do we do significance testing?
Answer:
To determine if the observed difference is, meaningful or due to the I.V. we've proposed
Question: Do one or two tailed hypothesis testing offer a more forgiving, or easier to find significance
type of test?
Answer:
Two-tailed, because you look for differences in any direction - the right (positive) and the left (negative)
Question: What's the difference between a significant finding and finding with a large effect size?
Answer:
Significant findings are real, beyond chance, effect size has to do with the strength or magnitude of that
, Question: Hypothesis Application
Answer:
H1: The amount of time students spend on social media is related to their GPA. H2: Female students
spend more time on social media than male students.
Question: What is the independent variable?
Answer:
H1: Time spent on social media; H2: Gender
Question: What is the dependent variable?
Answer:
H1: GPA H2: Time spent on social media
Question: Is it a one or two tailed test?
Answer:
H1: Two-tailed H2: One-tailed
Question: What is the null hypothesis?
Answer:
H1: Time spent on social media is unrelated to GPA, H2: Gender has no influence on time spent on
social media
Question: If H2 is supported by the data, what do you do with the null hypothesis?
Answer:
Reject it
Question: Which hypothesis' null hypothesis has a more conservative, harder to reach criterion to reach
significance?
Answer:
or H2
Question: If significance testing reveals that there are significant differences as predicted, does that mean
that influence of the independent variable on the dependent variable is equal for both hypotheses?
Answer:
No, the associated effect size with each test would tell us that
Question: What is a distribution composed of?
