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According to The Chronicle for Higher Education Almanac (2016), there were 1,003,329 Associate degrees awarded by U.S. community colleges in the \(2013-2014\) academic year. A total of 613,034 of these degrees were awarded to women. a. If a person who received an Associate degree in \(2013-\) 2014 is selected at random, what is the probability that the selected person will be female? b. What is the probability that the selected person will be male?

Short Answer

Expert verified
a. The probability that a randomly selected person who received an Associate degree in the \(2013-2014\) academic year will be female is approximately \(0.61073\) or \(61.073\%\). b. The probability that a randomly selected person who received an Associate degree in the \(2013-2014\) academic year will be male is approximately \(0.38927\) or \(38.927\%\).

Step by step solution

01

Understand the given data

We've been given the following data: 1. Total number of Associate degrees awarded in the \(2013-2014\) academic year: \(1,003,329\). 2. Number of degrees awarded to women: \(613,034\).
02

Calculate the number of degrees awarded to men

To calculate the number of degrees awarded to men, we can subtract the number of degrees awarded to women from the total number of Associate degrees. Number of degrees awarded to men: \(1,003,329 - 613,034 = 390,295\)
03

Calculate the probability of a randomly chosen person being female

To find the probability of a randomly chosen person being female, we can divide the number of degrees awarded to women by the total number of Associate degrees. Probability (female) = \(\frac{613,034}{1,003,329}\) = \(0.61073\) Approximately, the probability that the selected person will be female is \(0.61073\) or \(61.073\%\).
04

Calculate the probability of a randomly chosen person being male

Similarly, to find the probability of a randomly chosen person being male, we can divide the number of degrees awarded to men by the total number of Associate degrees. Probability (male) = \(\frac{390,295}{1,003,329}\) = \(0.38927\) Approximately, the probability that the selected person will be male is \(0.38927\) or \(38.927\%\).
05

Conclusion

a. The probability that a person randomly selected among those who received an Associate degree in the \(2013-2014\) academic year will be female is approximately \(0.61073\) or \(61.073\%\). b. The probability that a person randomly selected among those who received an Associate degree in the \(2013-2014\) academic year will be male is approximately \(0.38927\) or \(38.927\%\).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Associate Degree Statistics
Understanding the landscape of higher education and the trends in degree attainment is critical for educational institutions, policymakers, and students alike. Associate degrees, often awarded by community colleges, represent an important educational milestone for many individuals. The statistics regarding these degrees can reveal a great deal about the demographics of students achieving this level of education.

For example, within the context of the exercise, the 1,003,329 Associate degrees conferred in the 2013-2014 academic year provide insight into the education pipeline at that time. This data, disaggregated by gender, shows that a majority, approximately 61.07%, of these degrees were awarded to women. This statistic may point to a broader trend of increasing female participation in higher education, which can have significant implications for workforce development, economic growth, and gender equality policies.

Furthermore, understanding these statistics helps in setting a baseline for measuring the success of educational programs, addressing gender disparities, and shaping future educational strategies to ensure that everyone has equal access to higher educational opportunities.
Gender Distribution in Education
Gender distribution in education is a topic that has received a considerable amount of attention, as it aligns with broader discussions about equality and representation. Amidst the data portraying the educational landscape, the disparities in gender distribution often prompt discussions on societal norms, cultural influences, and policies aimed at supporting equal access to education for all genders.

Historical data, such as that from the 2013-2014 academic year in our exercise, can shine a light on systemic changes over time, potential biases in educational offerings, and the effectiveness of interventions designed to promote gender balance. It is important to continue monitoring these trends, as they serve as barometers for the inclusivity and progressiveness of education systems. By dissecting these numbers and looking beyond the surface, educators, administrators, and policymakers can develop targeted approaches to achieve a more balanced and fair educational environment for students of all genders.
Probability Theory
Probability theory is a mathematical framework that deals with the likelihood of occurrence for different events. In the context of our exercise, it helps quantify the chance that a randomly selected individual from the group of students who earned an Associate degree is female or male. This field of mathematics is foundational not only in statistics but also in various disciplines like finance, science, and philosophy, where making decisions under uncertainty is common.

The calculation clearly demonstrates how probability is applied: by dividing the number of degrees earned by one group (either male or female) by the total number of degrees awarded. These computations yield the respective probabilities (0.61073 for females and 0.38927 for males). It's interesting to note how these probabilities offer succinct numerical values that have broader implications, informing us about gender trends in higher education at a given time.

Understanding probability theory is essential for interpreting data, predicting future trends, and making informed decisions. It's a powerful tool that, when applied correctly, provides valuable insights into various aspects of academic and professional disciplines.

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Most popular questions from this chapter

Six people hope to be selected as a contestant on a TV game show. Two of these people are younger than 25 years old. Two of these six will be chosen at random to be on the show. a. What is the sample space for the chance experiment of selecting two of these people at random? (Hint: You can think of the people as being labeled \(\mathrm{A}, \mathrm{B}, \mathrm{C}, \mathrm{D}, \mathrm{E},\) and \(\mathrm{F}\). One possible selection of two people is \(\mathrm{A}\) and \(\mathrm{B}\). There are 14 other possible selections to consider.) b. Are the outcomes in the sample space equally likely? c. What is the probability that both the chosen contestants are younger than \(25 ?\) d. What is the probability that both the chosen contestants are not younger than \(25 ?\) e. What is the probability that one is younger than 25 and the other is not?

A large cable company reports that \(80 \%\) of its customers subscribe to its cable TV service, \(42 \%\) subscribe to its Internet service, and \(97 \%\) subscribe to at least one of these two services. a. Use the given probability information to set up a hypothetical 1000 table. b. Use the table from Part (a) to find the following probabilities: i. the probability that a randomly selected customer subscribes to both cable TV and Internet service. ii. the probability that a randomly selected customer subscribes to exactly one of these services.

A large cable company reports the following: \(80 \%\) of its customers subscribe to cable TV service \(42 \%\) of its customers subscribe to Internet service \(32 \%\) of its customers subscribe to telephone service \(25 \%\) of its customers subscribe to both cable TV and Internet service \(21 \%\) of its customers subscribe to both cable TV and phone service \(23 \%\) of its customers subscribe to both Internet and phone service \(15 \%\) of its customers subscribe to all three services Consider the chance experiment that consists of selecting one of the cable company customers at random. In Exercise \(5.53,\) you constructed a hypothetical 1000 table to calculate the following probabilities. Now use the probability formulas of this section to find these probabilities. a. \(P(\) cable TV only) b. \(P\) (Internet \(\mid\) cable TV) c. \(P(\) exactly two services \()\) d. \(P\) (Internet and cable TV only)

The National Center for Health Statistics (www.cdc .gov/nchs/data/nvsr/nvsr64/nvsr64_12.pdf, retrieved April 25,2017 ) gave the following information on births in the United States in 2014 : $$ \begin{array}{|lr|} \hline \text { Type of Birth } & \text { Number of Births } \\ \hline \text { Single birth } & 3,848,214 \\ \text { Twins } & 135,336 \\ \text { Triplets } & 4,233 \\ \text { Quadruplets } & 246 \\ \text { Quintuplets or higher } & 47 \\ \hline \end{array} $$ Use this information to estimate the probability that a randomly selected pregnant woman who gave birth in 2014 a. delivered twins b. delivered quadruplets c. gave birth to more than a single child

Phoenix is a hub for a large airline. Suppose that on a particular day, 8000 passengers arrived in Phoenix on this airline. Phoenix was the final destination for 1800 of these passengers. The others were all connecting to flights to other cities. On this particular day, several inbound flights were late, and 480 passengers missed their connecting flight. Of these 480 passengers, 75 were delayed overnight and had to spend the night in Phoenix. Consider the chance experiment of choosing a passenger at random from these 8000 passengers. Calculate the following probabilities: a. the probability that the selected passenger had Phoenix as a final destination. b. the probability that the selected passenger did not have Phoenix as a final destination. c. the probability that the selected passenger was connecting and missed the connecting flight. d. the probability that the selected passenger was a connecting passenger and did not miss the connecting flight. e. the probability that the selected passenger either had Phoenix as a final destination or was delayed overnight in Phoenix. f. An independent customer satisfaction survey is planned. Fifty passengers selected at random from the 8000 passengers who arrived in Phoenix on the day described above will be contacted for the survey. The airline knows that the survey results will not be favorable if too many people who were delayed overnight are included. Write a few sentences explaining whether or not you think the airline should be worried, using relevant probabilities to support your answer.

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