Similarity and Attraction: A researcher asked 15 women who had been on a date selected by a computer dating service to indicate how attracted they were to their assigned partners on a scale of 1-10 where higher scores indicated greater attraction. Before they were matched, participants (both men and women) responded to questionnaire about their habits and interests. Similarity between each woman and her date was computed yielding similarity scores from 1-10 with low scores indicating little similarity. Subject 1 Similarity Score Attraction Score 10 8 2 8. 6. 3 6. 4 4 4 3 10 7 8. 8 6. 9 7 9. 10 4 11 1 3 12 3 1 13 3 14 7 15 7 Is there a relationship between attraction to your assigned partner and similarity and, if there is, how strong is the relationship? Provide evidence What proportion or percent of variability in attraction ratings is associated with partner similarity? If a woman and her partner have a similarity score of 3, would you predict that she would be attracted to her partner? Why or why not? (Provide all relevant information you use for this conclusion.) Attach SPSS output with relevant portions highlighted and relevant comments marked on the output and write an APA format conclusion.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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