We appreciate your visit to The Graduate Management Admission Test GMAT is a standardized exam used by many universities as part of the assessment for admission to graduate study in. This page offers clear insights and highlights the essential aspects of the topic. Our goal is to provide a helpful and engaging learning experience. Explore the content and find the answers you need!
Answer :
We must first identify the z-score that corresponds to a GMAT score of 747 in order to use the empirical rule.
How can it be explained in detail?
The formula can be used to do this:
z = (747 - 547) / 100, z = 2
The empirical rule, which is the next step, asserts that:
The data is within one standard deviation of the mean for around 68% of the time.
The data is within two standard deviations of the mean for around 95% of the time.
99.7% of the data is contained within three standard deviations of the mean.
Therefore, if a z-score of 2 equals a GMAT score of 747, we may deduce the following:
2.5% of GMAT scores are more than 747 (100% - 97.5%).
The percentage of GMAT scores exceeding 747 + 2 * 100 (100% - 99.85%) is about 0.15 percent.
Therefore, we may estimate that 7.47 or higher GMAT scores make up around 2.5% of all GMAT results.
To learn more about empirical visit here:
https://brainly.com/question/30404590
#SPJ4
Thanks for taking the time to read The Graduate Management Admission Test GMAT is a standardized exam used by many universities as part of the assessment for admission to graduate study in. We hope the insights shared have been valuable and enhanced your understanding of the topic. Don�t hesitate to browse our website for more informative and engaging content!
- Why do Businesses Exist Why does Starbucks Exist What Service does Starbucks Provide Really what is their product.
- The pattern of numbers below is an arithmetic sequence tex 14 24 34 44 54 ldots tex Which statement describes the recursive function used to..
- Morgan felt the need to streamline Edison Electric What changes did Morgan make.
Rewritten by : Barada
Final answer:
Approximately 2.5% of GMAT scores are 747 or higher.
Explanation:
To answer this question, we can use the empirical rule, also known as the 68-95-99.7 rule. According to this rule, approximately 68% of the GMAT scores fall within one standard deviation of the mean, 95% fall within two standard deviations, and 99.7% fall within three standard deviations.
With an average GMAT score of 547 and a standard deviation of 100, we can calculate the standard deviation above the mean as follows: (747 - 547) / 100 = 2 standard deviations.
Therefore, using the empirical rule, we can estimate that only about 2.5% of GMAT scores would be 747 or higher.
Learn more about GMAT scores here:
https://brainly.com/question/30430021
#SPJ12
