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Question(s) / Instruction(s):

The interpretation clearly demonstrates understanding of the nature of the calculation and its real-world 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
(1920 points)

Acceptable
(1618 points)

Minimal Acceptance
(015 points)

Interpretation

20 points

The interpretation clearly demonstrates understanding of the nature of the calculation and its real-world 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 real-world 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 real-world implications. The narrative lacks clarity or relevance. Relationships are not properly identified and interpreted. Statistical significance is not considered.

 

Exemplary
(1920 points)

Acceptable
(1618 points)

Minimal Acceptance
(015 points)

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:

  1. Observed frequency for potato chips fried in canola oil (explain)
  2. p value (INTERPRET MEANING)
  3. X2  value (INTERPRET MEANING)
  4. What are the expected frequencies for the three categories of potato chips? (INTERPRET)

Chi Square Test

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 dont 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.


Inferential Statistics (INTERPRET TABLES!)

A one-sample chi-square 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

Chi-Square

            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


Two Independent-Samples Test: The Mann-Whitney U Test

 

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 McDonalds 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 Mann-Whiney 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 independent-sample 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 dont 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

Mann-Whitney U

28.000

Wilcoxon W

83.000

Z

-3.811

Asymp. Sig. (2-tailed)

.000

Exact Sig. [2*(1-tailed 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


t-test for Equality of Means 

t

-3.975

         -5.397

df

38

        30.828

Sig. (2-tailed)

.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)

K Independent-Samples Tests: Kruskal-Wallis and the Median Tests

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 Kruska-Wallis 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 box-plot which displays the differences in the amounts of the three groups distributions.

3. Interpret data in the one-way ANOVA. Explain how the results for the ANOVA compare to the results of the Kruskal-Wallis 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

Chi-Square

5.963

df

2

Asymp. Sig.

.051

a. Kruskal Wallis Test

b. Grouping Variable: Hair Color


Tests of Between-Subjects 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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