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# Regressionanalysis - Essay Example

Summary
argue that the gender gap in math closed since 1990. They argue that in 1990 there was a significant gender gap in advanced math, indicating that male students had higher chances of entering math, engineering and similar majors (Hyde et al. 494). By 2000, female…

## Extract of sampleRegressionanalysis

Download file to see previous pages... 494). The weighted mean was 0.0065, which did not support claims that males are better than females.
The gender gap among highest performers fails to account for the differences in majors. According to the variance ratio (VR), the group with greater variance has more people in the tails, where math geniuses are found. Greater male variance is characterized by VR > 1.0 (Hyde et al. 495). Among whites, the ratio is 1.45 for the 95th percentile and 2.06 for the 99th percentile (Hyde et al. 495). For Asian Americans they are 1.09 and 0.91 respectively. The latter shows that in the 99th percentile for Asian Americans, females exhibit higher variance. Authors explain that for a ratio of 2 for the 99th percentile, there should be 67 percent males and 33 percent females. However, they argue that PhD programs in engineering have only 15 percent women, which is not in accordance with the mathematical abilities of women presented here.
The gender gap for complex problem solving is nonexistent as well. Level 1 or the ability to recall, Level 2 or the ability to approach a problem and evaluate information, and Level 3 or strategic thinking, were tested. Gender differences were quite small. However, Level 4 or ability to think over periods of time and combine knowledge was not tested. Authors argue that precisely this ability is needed in engineering careers (Hyde et al. 495).
Lewin did a remarkable job at dissecting the problem and explaining it to the readers. Lewin spent only one sentence summarizing the test results. Besides explaining the results, Lewin also focused on explaining the implications of prejudices and these results on young girls who, despite their amazing performance, are still discouraged by everyone in majoring in mathematically demanding fields. Lewin also expanded on the research by Hyde et al. arguing about SAT scores and how girls perform worse because more girls take the exam.
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