The interpretation clearly demonstrates understanding of the nature of the calculation and its realworld implications. The narrative provides clarity and relevance. Relationships are properly identified and interpreted. Statistical significance is considered and properly calculated.
Directions: Most tables have been provided. Just need a detailed analysis of variables in tables in sections provided and reformatting in APA. I need for you to assess whether the tables are descriptive or inferential and place them in their appropriate positions and interpret. EXAMPLE APA formatted tables included at end. Mostly focus on detailed analysis per APA. Please rephrase Hypothesis provided as you see fit.

Exemplary 
Acceptable 
Minimal Acceptance 
Interpretation 20 points 
The interpretation clearly demonstrates understanding of the nature of the calculation and its realworld implications. The narrative provides clarity and relevance. Relationships are properly identified and interpreted. Statistical significance is considered and properly calculated. 
The interpretation shows some understanding of the nature of the calculation and its realworld implications. The narrative could provide more clarity or relevance. Relationships are somewhat identified and interpreted. Statistical significance is considered but may be improperly calculated. 
The interpretation shows little understanding of the nature of the calculation and its realworld implications. The narrative lacks clarity or relevance. Relationships are not properly identified and interpreted. Statistical significance is not considered. 

Exemplary 
Acceptable 
Minimal Acceptance 
Statistical Analysis 20 points 
Dataset is used properly. The analysis is well executed and demonstrates a thorough understanding of how the statistic would be calculated by hand. Variables are appropriately chosen, and SPSS is used appropriately. The correct numbers/results are generated. 
Chosen dataset is used appropriately in the analysis, but there are steps in the analysis that were improperly executed or calculated. 
No dataset is chosen, there is an insufficient fit between the chosen dataset and proposed hypothesis, or data was used inappropriately in the analysis. The analysis is not performed correctly; for example, the wrong statistic is employed, variables are inappropriately assigned, or some other aspect of the SPSS execution is incorrect. 




Output and Attachment 10 points 
Demonstrates clear ability to generate SPSS output and insert into a Word document. Properly submits to Dropbox. Appropriate (correct type of) graphs are plotted correctly. 
Demonstrates ability to generate SPSS output and insert into a Word document. Properly submits to the Dropbox. 
Does not show ability to generate SPSS output and insert into a Word document. Does not provide output in the appropriate format 
Presenting Results/Style and Grammar 10 points 
Follows APA writing style and basic rules of formal English grammar and written essay style, exhibiting higher levels of critical thinking than memory/recall. Communicates in a cohesive, logical style. Charts, graphs, and axes are appropriately labeled and titled. Graphs, charts, or other data are visually clear and appealing. 
Mostly follows APA writing style and basic rules of formal English grammar and written essay style, exhibiting higher levels of critical thinking than memory/recall. Mostly communicates in a cohesive, logical style. Charts, graphs, and axes are somewhat appropriately labeled and titled. Graphs, charts, or other data are somewhat visually clear or appealing. 
Presentation does not follow APA writing style and basic rules of formal English grammar. Written essay style is not exhibiting higher levels of critical thinking than memory/recall. Does not communicate in a cohesive, logical style. Charts, graphs, and axes are not appropriately labeled and titled. Graphs, charts, or other data are not visually clear or appealing. 
BE SURE TO COVER AN ANALYSIS OF THE FOLLOWING QUESTIONS IN THE APPROPRIATE SECTIONS:
An analysis was conducted to assess whether the method of cooking potato chips affects the taste of the chips. For the study 48 individuals volunteered to participate in the potato chip study. Participants tastes chips using three different methods to include friend in animal fat (chip =1), fried in canola oil (chip = 2) and baked (chips = 3). In this activity individuals were assessed to determine if they had a preference for the substance their chips were fried in.
H10: Individuals prefer potato chips that are fried in canola oil over those that are fried in animal fat or baked.
H1A: Individuals don’t prefer potato chips that are fried in canola oil over those that are fried in animal fat or baked.
Descriptive Statistics (NEED TO CREATE AND INTERPRET TABLES)
Report the means, standard deviations, and any other data as necessary. Be sure to provide some interpretation of your data.
A onesample chisquare test was used to determine whether the cooking method affects individuals taste. The results indicate (EXPAND)
Table 1
Method of cooking potato chips

Observed N 
Expected N 
Residual 
Fried in animal fat 
7 
16.0 
9.0 
Fried in Canola oil 
33 
16.0 
17.0 
Baked 
8 
16.0 
8.0 
Total 
48 


Table 2
Test Statistics

Method of cooking potato chips 
ChiSquare 
27.125a 
df 
2 
Asymp. Sig. 
.000 
a. 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 16.0. 
Present your findings and refer the reader to the table. Note: In presenting your results, be sure to reject or fail to reject each hypothesis separately. Spell out the conclusion: The hypothesis that (insert hypothesis) was/was not rejected. 
Conclusions
Begin (1 PARAGRAPH OR MORE)
In the conclusions section, interpret the hypotheses you rejected or failed to reject. What do they mean? No need to repeat the numbers; just provide your interpretation. At least a paragraph 
An analysis was conducted to assess whether or not overweight individuals tend to eat faster than normal weight individuals. A test was conducted using two assistants who sat in McDonald’s restaurant to identify individual who order at lunch time the Big Mac special. Customers were classified as overweight, normal weight, or neither overweight nor normal weight. 10 overweight individuals were identified and 30 normal weight individuals. For testing the amount of time it took the individuals in the two groups to complete their Big Mac meals were assessed. One variable is weight with two levels, overweight ( = 1) and normal weight ( = 2). The second variable is time in seconds.
BE SURE TO COVER AN ANALYSIS OF THE FOLLOWING QUESTIONS IN THE APPROPRIATE SECTIONS:
1.Based on the MannWhiney U test explain the meaning of the following
P value, z value corrected for ties, mean rank for normal weight individuals
2. With the data in the independentsample t test compare the p value for the mann whitney u test with the p value for the independent sample t test
Begin with an explanation of the data and the analysis. Explain the purpose of the analysis. Conclude with your hypotheses. Be sure to present hypotheses for both the bivariate correlations AND the partial correlations. Please remove this table before submitting this assignment. 
H30: Overweight individuals tend to eat faster than normal weight individuals
H3A: Overweight individuals don’t tend to eat faster than normal weight individuals
PLACE AND LABEL TABLES IN THEIR RESPECTIVE PLACE DESCRIPTIVE OR INFERRENTIAL AND INTERPRET IN DETAIL WHAT DATA INDICATES.
Ranks 


weight 
N 
Mean Rank 
Sum of Ranks 
Time in Seconds 
overweight 
10 
8.30 
83.00 
normal weight 
30 
24.57 
737.00 

Total 
40 


Test Statisticsb 

Time in Seconds 

MannWhitney U 
28.000 

Wilcoxon W 
83.000 

Z 
3.811 

Asymp. Sig. (2tailed) 
.000 

Exact Sig. [2*(1tailed Sig.)] 
.000a 

a. Not corrected for ties. b. Grouping Variable: weight 

Group Statistics 


weight 
N 
Mean 
Std. Deviation 
Std. Error Mean 

Time in Seconds 
overweight 
10 
589.00 
42.615 
13.476 

normal weight 
30 
698.40 
82.949 
15.144 
Independent Samples Test 

Time in Seconds 

Equal variances assumed 
Equal variances not assumed 

Levene's Test for Equality of Variances 
F 
2.745 


Sig. 
.106 


ttest for Equality of Means 
t 
3.975 
5.397 

df 
38 
30.828 

Sig. (2tailed) 
.000 
.000 

Mean Difference 
109.400 
109.400 

Std. Error Difference 
27.522 
20.272 

95% Confidence Interval of the Difference 
Lower 
165.116 
150.754 

Upper 
53.684 
68.046 
Descriptive Statistics
Begin (2paragraphs)
Report the means, standard deviations, and any other data as necessary. Be sure to provide some interpretation of your data. 
Table_
Ranks














Inferential Statistics
Begin (2paragraphs)

Table 2
INSERT APPROPRIATE GRAPHIC HERE flush left
Figure 1. Type title here.
Conclusions
Begin (PARAGRAPH OR MORE)
The purpose of this analysis was to test whether blonds, brunets, and redheads were different in their extroversion. Random samples of 18 men from a college campus were selected to include: six blonds, six brunets, and six redheads. A measure of social extroversion was administered to each individual.
BE SURE TO COVER AN ANALYSIS OF THE FOLLOWING QUESTIONS IN THE APPROPRIATE SECTIONS:
1.Interpret the results, and Base on the results of the KruskaWallis test to investigate the relationship between hair color and social extroversion should a follow up test be conducted, why?
2. Explain the effect size for the overall effect of hair color on extroversion
3. Interpret data in boxplot which displays the differences in the amounts of the three groups distributions.
3. Interpret data in the oneway ANOVA. Explain how the results for the ANOVA compare to the results of the KruskalWallis test
Begin with an explanation of the data and the analysis. Explain the purpose of the analysis. Conclude with your hypotheses. Please remove this table before submitting this assignment. 
H50: Null (provide appropriate hypothesis)
H5A: Alternative (provide appropriate hypothesis)
PLACE AND LABEL TABLES IN THEIR RESPECTIVE PLACE DESCRIPTIVE OR INFERRENTIAL AND INTERPRET IN DETAIL WHAT DATA INDICATES.
Ranks 


Hair Color 
N 
Mean Rank 
Social Extroversion 
Blond 
6 
12.75 
Brunet 
6 
10.25 

Redhead 
6 
5.50 

Total 
18 

Test Statisticsa,b 


Social Extroversion 

ChiSquare 
5.963 

df 
2 

Asymp. Sig. 
.051 

a. Kruskal Wallis Test b. Grouping Variable: Hair Color 

Tests of BetweenSubjects Effects 

Dependent Variable:Social Extroversion 

Source 
Type III Sum of Squares 
df 
Mean Square 
F 
Sig. 
Partial Eta Squared 

Corrected Model 
24.111a 
2 
12.056 
3.511 
.056 
.319 


249.389 
1 
249.389 
72.638 
.000 
.829 

hair 
24.111 
2 
12.056 
3.511 
.056 
.319 

Error 
51.500 
15 
3.433 




Total 
325.000 
18 





Corrected Total 
75.611 
17 





a. R Squared = .319 (Adjusted R Squared = .228) 
ANOVA 

Social Extroversion 


Sum of Squares 
df 
Mean Square 
F 
Sig. 
Between Groups 
24.111 
2 
12.056 
3.511 
.056 
Within Groups 
51.500 
15 
3.433 


Total 
75.611 
17 



Descriptive Statistics
Begin
Report the means, standard deviations, and any other data as necessary. Be sure to provide some interpretation of your data. Please remove this table before submitting this assignment. 
Inferential Statistics
Begin
Present your findings and refer the reader to the appropriately labeled tables. report R, R2, and p: The results indicate etc R = .XX, p = .XX. Approximately __% of the variance can be explained, R2 = .XX. (Note: the percentage is the same as R2). Conclude with an interpretation of the figures. Please remove this table before submitting this assignment. 
Table _ APA FORMATTED TABLES EXAMPLES








Table _












Total 



Table _





























References
Green, S. B. & Salkind. N. J. (2008). Using SPSS for Windows and Macintosh: Analyzing and
Understanding Data (5th Edition). Upper Saddle River, NJ: Pearson, Prentice Hall.
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