# Project 2, Lab 2 Assessment – Lonely Hearts Analysis

Ecology, Evolution & Behaviour
Name: Your name Student Number: Student Id
Project 2, Lab 2 Assessment – Lonely Hearts Analysis
Part A (50%)
Analysis of the complete data set. In the first part of the assessment you must replicate four analyses from the lab, but using the complete data set instead of the partial data set.
Before you begin (0%):
Paste the jpeg from the Brownian Motion Plot at the beginning of the assessment here:

Part A – Question 1 (12.5%) – Height Analysis
1. Insert the “plot that pops” here. It is from the end of Step 10 and shows height preferences for males and females on the same graph, with the regression lines for each sex.
2. Write a figure legend for this graph here (the figure legend is a brief verbal description of the plot so that readers can get the gist of the figure).
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3. Enter the “Adjusted R-squared” value for the female regression line:
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4. Enter the “Adjusted R-squared” value for the male regression line:
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Part A – Question 2 (12.5%) – Age Analysis
1. Insert the plot of mid-age preference vs age (part 3, step 4) for females here. Make sure to give the plot better axis labels.

2. Insert the Adjusted R-squared for the linear regression model that tests female mid age preference versus female age (model in part 3, step 4) here:
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3. Insert the plot of mid-age preference vs age (part 3, step 5) for males here. Make sure to give the plot better axis labels.

4. Insert the Adjusted R-squared for the linear regression model that tests male mid age preference versus male age (model in part 3, step 5) here:
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5. Compare the R-squared values for the male and female regression. Very briefly what does this tell you about the difference between male and female preferences for the age of their romantic partners? (30 words max)
Part A – Question 3 (12.5%) – INCOME Analysis
1. Insert the plot for the 2×2 contingency table for Gender x Income Provided table here (from part 4, step 3). Make sure to give the plot a better main label.

2. Fill in the following table (replace the hashtags) with the values from the above analysis (from part 4, step 3).
No Income info provided Yes Income info provided
Females #
#
Males #
#
3. What is the chi-squared test P-value from analysing the table above (part 4, step 4)?
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4. What does the above chi-squared test tell you about the relationship between gender and providing information about your income? (30 words max)
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Part A – Question 4 (12.5%) – Education Analysis
1. What is the mean value of education requested by females (Part 5 – step 11)?
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2. What is the mean value of education requested by males (Part 5 – step 11)?
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3. What is the P-value of the t-test comparing if males have different values of requested education than females (Part 5 – step 11)??
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4. What does the above t-test tell you about male and female preferences for education levels (30 words max)?
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5. Provide an evolutionary explanation (i.e. functional level of analysis) for the observed patterns of male and female preferences for education levels (30 words).
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Part B – Mini-Report (50%)
In this part you are to write a mini scientific paper.
You must keep the paper short and concise – you will be docked marks if your paper is too long. Even though this is a scientific report, there is ample opportunity to be creative.
Make sure you run the analysis for your report using the COMPLETE data set.
Your paper needs to test a hypothesis with a single prediction that you can test with the mate choice data you collected. You are free to choose whichever hypothesis and prediction you want.
The paper will have the following structure to it. Include the “headers” for each section. Write the paper in this word document.
1. Title
Make your title a question.
2. Word Count.
You are not allowed to write more than 600 words.
3. Introduction.
Provide background information necessary to place your question into an appropriate context
4. Hypotheses.
Summarize your null and alternative hypothesis and state your specific prediction to test your alternative hypothesis.
5. Methods
Provide a brief description of what methods was used to test your hypothesis – only provide information relevant to your report (not all the data collected). Mention the statistical test you will use and the sample size of your study.
6. Results
Brief summary of the outcome of your study.
• Make sure your results section includes a statistical test.
• Make sure your results section has a figure.
• Make sure you refer to the figure in the text of your results.
• Make sure the figure is appropriately labelled.
• Make sure the figure has a figure legend.
7. Discussion
Provide a brief discussion of the implications/conclusions of your study. You can include ideas about sources of error, alternative interpretations if you wish.
8. Literature Cited.
You are not expected to cite literature for this mini-report. But if you do refer to specific information a from another study or internet resource for, be sure to actually cite the source.

Example Mini-Report:
Title: Are male humans taller than female humans?
Word Count: 405 words
Introduction.
Darwin’s theory of sexual selection argues that males are often selected to be larger and more ornamented than females. Current theory suggests that this results from anisogamy, where females produce fewer large gametes, while males produce many small gametes. Females are thus expected to be more limited than males, and so males will compete for access to females.
Many apes show strong patterns of sexual dimorphism where males are bigger than females. Large size is often considered an adaptation that increases competitive ability. Because humans are members of the apes, it is reasonable to expect that males would be larger than females in our species.
Hypotheses & Prediction:
Null hypothesis: males and female humans have similar heights.
Alternative hypothesis: males humans are taller than female humans.
Prediction: In a sample of humans taken from an online dating site, males are predicted to be taller than females.
Methods:
Height data (in cm) was collected from online dating sites by approximately 200 undergraduate students in a first-year science course at Massey University. Students recorded the sex and height for a random sample of advertisers. From the pooled data set, I tested whether mean height in a sample 1389 males and 1444 females was different using a Student’s t-test.
Results:
The average height of males in the sample was significantly higher than the average height of females (178.7 cm vs 164.9 cm, chi-squared test, P 2.2e-16). Figure 1 shows that the frequency distribution of height in males was clearly skewed towards taller individuals.
Figure 1. Frequency distributions of height in females (top panel) and males (bottom panel) in a sample of humans taken from online dating sites.
Discussion:
I found that male humans were significantly taller than female humans in a sample of advertisers on an online dating site. This supports the standard sexual selection model that generally predicts males are often larger than females. In addition, these results are consistent with patterns found in other species of apes, which also show sexual size dimorphism.
Caution should be taken when considering these results. It was observed in other analyses that females preferred taller males as prospective partners. It is therefore possible the sample is slightly biased because males may have exaggerated their true height in order to secure dates with possible partners. Future work should evaluate height in a completely random selection of individuals.

Put your report here, leave the headers in the report and include the headers in your word count.
1. Title
Make your title a question.
2. Word Count.
My report is xxx words.
3. Introduction.
Click or tap here to enter text.
4. Hypotheses.
Click or tap here to enter text.
5. Methods
Click or tap here to enter text.
6. Results
Click or tap here to enter text.
7. Discussion
Click or tap here to enter text.
8. Literature Cited. (if any)
Click or tap here to enter text.

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