College Admissions and Predictive Analytics

College Admissions and Predictive Analytics

Assessment

Interactive Video

Mathematics

9th - 12th Grade

Hard

Created by

Thomas White

FREE Resource

The video tutorial explores the shift in college admissions policies post-COVID-19, focusing on the decision of some colleges to return to requiring standardized tests like the SAT and ACT. It delves into statistical measures of strength, such as regression analysis, standard deviation of residuals, and R-squared values, to evaluate predictors of college success. The University of California's study on admissions data is discussed, highlighting the predictive power of high school GPA and SAT scores. The tutorial also examines the impact of outliers on statistical models and concludes with a discussion question on the changing predictive strength of high school GPA over time.

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12 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What major change did many colleges in the US make to their admissions process following the COVID-19 pandemic?

They required additional essays.

They increased tuition fees.

They went test-optional.

They reduced the number of accepted students.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why have some colleges decided to return to requiring standardized tests?

To better predict student success.

To reduce the number of applicants.

To increase application fees.

To simplify the admissions process.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What statistical method is used to explore the relationship between variables in predicting college success?

Descriptive statistics

Regression analysis

Probability theory

Hypothesis testing

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the focus of the University of California's study released in 2020?

Standardized tests and admissions

Student housing facilities

Tuition fee structures

Faculty recruitment processes

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which two traditional indicators are used to predict college performance?

Letters of recommendation and interviews

Community service and leadership roles

High school GPA and SAT/ACT scores

Extracurricular activities and essays

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of fitting a least-squares regression line model?

To determine the mode of data

To make predictions more formal

To predict future trends

To calculate the average GPA

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What issue arises when predicting college GPA using high school GPA?

Inaccurate data collection

Limited sample size

Lack of data

High variation in predictions

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