Running head: DATA ANALYSIS AND ONE-WAY ANOVA
1
Data Analysis and one-way ANOVA
Learner Name
Capella University

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DATA ANALYSIS AND ONE-WAY ANOVA 2
Data Analysis and one-way ANOVA
This study will determine whether there a critical distinction in between scores in quiz3
and section. We will try finding any significant difference between quiz3 average score and
amongst other 3 class sections.
Section 1: Data File Description
The grades.sav data set gives the data on various characteristics of 105 American students. The
survey collected their gender, ethnicity and section of class, past GPA score, IQ test score,
focuses in various tests and whether they have passed or failed. In this review we consider test 3
as our review variable and section variable as the element. We need to concentrate the impact of
element on element on quiz 3. Quiz 3 has proportion scale while element is a nominal variable.
We have a sample of size 105. We will utilize one way ANOVA in deciding contrasts in variance
and ultimate connection between the two variables. The one way ANOVA is utilized to decide if
there are any big contrasts between the methods for at least two independent groups.
Section 2: Testing Assumptions
The one way ANOVA is utilized to decide if there are any critical contrasts between the
means for at least two independent variables. The assumptions of one-way ANOVA are: One the
dependable variable ought to be measured at the interval or proportion level this is because they
are continuous variables. The dependent variable for this situation is quiz3 which is subsequently
continuous since it ranges from 1 to 10. Second assumption is that the independent variable
ought to comprise of at least two or more forms of independent groups. In our situations our
independent variables section consists of 3 groups thus they meet this assumptions.
Third
assumption has it that, the one-way ANOVA must have independence of observation. This meant

DATA ANALYSIS AND ONE-WAY ANOVA 3
that, there is an association between the observations in each group or between the groups.
Finally, one-way ANOVA have the assumption that, there should be at least no significant
outliers.
Interpretation of quiz 3 histogram visual representation
SPSS histogram output for quiz3
The dependent variable ought to be normally distributed for every group of the
independent variable. The null hypothesis is true when the data is normally distributed and
alternative hypothesis is true when the data is not distributed normally. The histogram shows that
the data is normally distributed with the highest group having the highest value of quiz3. Most of

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DATA ANALYSIS AND ONE-WAY ANOVA 4
the categories of quiz3 have values ranging from 5 to 9, visual estimate. As from the statistics

- Summer '16
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