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Topic:
Hypotheses for Significance Difference and Correlational Statistical Tests
Essay Instructions:
Hypotheses for Significance Difference and Correlational Statistical Tests
Complete your Module 6 Assignment by the end of Week 6.
Statistically significant difference is usually a comparison between two dichotomous groups within a sample or between two samples. Correlations are tests of the statistically significant strength of relationship between two dependent variables.
In this assignment, you will compose hypotheses for significance difference and correlational statistical tests.
Note: Scholarly references are not required for this assignment.
Step 1. Evaluate
First, evaluate the variables in the Sample Dataset you created in Module 4 and are using for the remainder of the course. Choose two variables you could compare for statistically significant difference. Consider comparing groups on some observed value.
Note: this would be two measures, not one measure between two groups.
Step 2. Compose
Compose a hypothesis for a statistically significant difference test using the following format:
There is a statistically significant difference in ____ between ____ and _ _ _.
Compose a hypothesis for a statistically significant correlation test using the following format:
There is a statistically significant relationship between ____ and _ __.
Compose null and alternative hypotheses from both statements in the previous step:
H0: There is no statistically significant…
H1: There is a statistically significant…
Clearly label the null and alternative hypotheses for both the significant difference and correlational tests.
Step 3. Reflect
In a few paragraphs, respond to the following prompts:
Consider why a null hypothesis is necessary and under what conditions is it rejected.
Explain why a null hypothesis is necessary when conducting research with applied statistics.
Consider how to report the findings if the null hypothesis could or could not be rejected in each case. What would it mean in real terms regarding the differences, or relationship, between the groups?
Step 4. Submit
Submit an APA title page, 1- 2-page reflection with hypotheses, and an optional reference page if outside sources were consulted.
Essay Sample Content Preview:
Title
Your Name
Subject and Section
Professor’s Name
Date
Step 1: Evaluation
Given that there are two groups (Student Group A and Student Group B), we will compare them based on another variable: their final grade.
Step 2: Compose Hypotheses
Hypothesis for Statistically Significant Difference Test
Statement
There is a statistically significant difference in Final Grades between Student Group A and Student Group B.
Null Hypothesis (H0)
There is no significant difference between Final Grades of Student Groups A and B.
Alternative Hypothesis (H1)
There is a statistically significant difference in Final Grades between Student Group A and Student Group B.
Hypothesis for Statistically Significant Correlation Test
Statement
A statistically significant relationship exists between Remedial Scores and Final Grades across all students.
Null Hypothesis (H0)
There is no statistically significant relationship between Remedial Score and Final Grade.
Alternative Hypothesis (H1)
There is a statistically significant relationship between Remedial Score and Final Grade.
Step 3: Reflect
1 Consider why a null hypothesis is necessary and under what conditions it is rejected.
The null hypothesis is essential in statistical testing since it provides a standard against which no correlation or effect is assumed between the investigated and theoretical variables. This base rate assumption enables the researcher to determine how much the data conveys a contrary picture. In the next step, researchers countercheck the findings against the null hypothesis, making it possible for them to know the probability of obtaining that effect by chance. The null hypothesis assists in measuring the level of volatility, thus eliminating the chances of the outcomes being caused by random fluctuations in the data set. Lastly, the null hypothesis guarantees that any assertion of effect or relations...
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