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Posted: February 21st, 2022
PSY210 Module 4 and 5 Assignment and Discussions – Argosy University
Discussion 4
Post a null hypothesis that would use a t test statistical analysis.. Use the same hypothetical situation taken in the t test hypothesis, and t urn it into a null hypothesis using a one-way ANOVA analysis and a two-way ANOVA.
Argosy University – PSY210 module 4 assignment 2 Analyzing with ANOVA
The table depicts a two-way ANOVA in which gender has two groups (male and female), marital status has three groups (married, single never married, divorced), and the means refer to happiness scores (n = 100):
What are the independent variables and their levels? What is the dependent variable?
State all null hypotheses associated with independent variables and their interaction? Also suggest alternate hypotheses?
What are the degrees of freedom for 1) gender, 2) marital status, 3) interaction between gender and marital status, and 4) error or within variance?
Calculate the mean square for 1) gender, 2) marital status, 3) interaction between gender and marital status, and 4) error or within variance.
Calculate the F ratio for 1) gender, 2) marital status, and 3) interaction between gender and marital status.
Identify the critical Fs at alpha = .05 for 1) gender, 2) marital status, and 3) interaction between gender and marital status.
If alpha is set at .05, what conclusions can you make.
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Discussion 5
Post a behavioral research situation that could use a Pearson coefficient research study and a chi square research study. Present the rationale for each selection. Be very specific in your presentation.
Assignment 5
A study wants to examine the relationship between student anxiety for an exam and the number of hours studied. The data is as follows:
Student Anxiety Scores
Study Hours
5 1 10 6 5 2 11 8 12 5 4 1 3 4 2 6 6 5 1 2
Why is a correlation the most appropriate statistic?
What is the null and alternate hypothesis?
What is the correlation between student anxiety scores and number of study hours? Select alpha and interpret your findings. Make sure to note whether it is significant or not and what the effect size is.
How would you interpret this?
What is the probability of a type I error? What does this mean?
How would you use this same information but set it up in a way that allows you to conduct a t-test? An ANOVA?
The Argosy University PSY210 Module 4 and 5 Assignment and Discussion are available online.
4th Point of Discussion
Post a null hypothesis that would be tested statistically using the t test. Applying a one-way ANOVA analysis and a two-way ANOVA to the same hypothetical situation that was used in the t test hypothesis, convert it into the null hypothesis.
2. Assignment 2 for PSY210 module 4 at Argosy University. ANOVA is used for statistical analysis.
An ANOVA with two groups (male and female) and three groups (married, single never married, divorced) is depicted in the following table, in which the means relate to happiness scores (n = 100) and the means refer to the following categories:
What are the independent variables, as well as their levels of significance? What is the dependent variable in this situation?
List all of the null hypotheses that are linked with the independent variables and their interaction? Also, could you propose some alternative hypotheses?
What are the degrees of freedom for the following variables: 1) gender, 2) married status, 3) interaction between gender and marital status, and 4) error or variance?
The mean square for 1) gender, 2) marital status, 3) interaction between gender and marital status, and 4) error or within variance should all be calculated.
Calculate the F ratio for each of the following variables: 1) gender, 2) married status, and 3) the interaction between gender and marital status.
Locate and describe the important Fs at alpha =.05 for each of the following variables: 1) gender, 2) marital status, and 3) the interaction between gender and marital status
What conclusions may you draw if the alpha parameter is set to.05?
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5th Point of Discussion
Post a behavioral research case in which a Pearson coefficient research study and a chi square research study could be used in conjunction with one another. Explain your reasoning behind each choice. Make your presentation as specific as possible.
Assignment number five.
The purpose of this study is to investigate the association between student anxiety over an exam and the amount of hours spent studying. The relevant information is as follows:
Anxiety Levels in Students
Hours Allotted for Study
5 s1 s10 s6 s5 s2 s11 s8 s12 s5 s4 s1 s3 s4 s2 s6 s6 s5 s1 s2
Why is a correlation the most relevant statistic to use in this situation?
What is the difference between the null and alternate hypotheses?
What is the relationship between student anxiety levels and the number of hours spent studying? Choose alpha and then analyze and interpret your data. Make a note of whether the result is statistically significant or not, as well as the extent of the effect.
In your opinion, how should this be interpreted?
What is the likelihood of encountering a type I error? What exactly does this imply?
How would you utilize the same information, but set it up in such a way that you could do a t-test on the results? What is an ANOVA?
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