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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

The probability of getting a king when a card is selected at random from a standard deck of 52 playing cards is \(\frac{1}{13}\). a. Give a relative frequency interpretation of this probability. b. Express the probability as a decimal rounded to three decimal places. Then complete the following statement: If a card is selected at random, I would expect to see a king about times in 1000 .

A medical research team wishes to evaluate two different treatments for a disease. Subjects are selected two at a time, and one is assigned to Treatment 1 and the other to Treatment 2 . The treatments are applied, and each is either a success (S) or a failure (F). The researchers keep track of the total number of successes for each treatment. They plan to continue the experiment until the number of successes for one treatment exceeds the number of successes for the other by \(2 .\) For example, based on the results in the accompanying table, the experiment would stop after the sixth pair, because Treatment 1 has two more successes than Treatment \(2 .\) The researchers would conclude that Treatment 1 is preferable to Treatment \(2 .\) Suppose that Treatment 1 has a success rate of 0.7 and Treatment 2 has a success rate of \(0.4 .\) Use simulation to estimate the probabilities requested in Parts (a) and (b). (Hint: Use a pair of random digits to simulate one pair of subjects. Let the first digit represent Treatment 1 and use \(1-7\) as an indication of a success and \(8,9,\) and 0 to indicate a failure. Let the second digit represent Treatment 2 , with \(1-4\) representing a success. For example, if the two digits selected to represent a pair were 8 and \(3,\) you would record failure for Treatment 1 and success for Treatment 2 . Continue to select pairs, keeping track of the cumulative number of successes for each treatment. Stop the trial as soon as the number of successes for one treatment exceeds that for the other by \(2 .\) This would complete one trial. Now repeat this whole process until you have results for at least 20 trials [more is better]. Finally, use the simulation results to estimate the desired probabilities.) a. Estimate the probability that more than five pairs must be treated before a conclusion can be reached. (Hint: \(P(\) more than 5\()=1-P(5\) or fewer \() .)\) b. Estimate the probability that the researchers will incorrectly conclude that Treatment 2 is the better treatment.

The following table summarizes data on smoking status and age group, and is consistent with summary quantities obtained in a Gallup Poll published in the online article "In U.S., Young Adults' Cigarette Use Is Down Sharply" $$ \begin{array}{|lcc|} \hline & {\text { Smoking Status }} \\ \hline { 2 - 3 } \text { Age Group } & \text { Smoker } & \text { Nonsmoker } \\\ \hline 18 \text { to } 29 & 174 & 618 \\ 30 \text { to } 49 & 333 & 1,115 \\ 50 \text { to } 64 & 384 & 1,445 \\ 65 \text { and older } & 211 & 1,707 \\ \hline \end{array} $$ Assume that it is reasonable to consider these data as representative of the American adult population. Consider the chance experiment or randomly selecting an adult American. a. What is the probability that the selected adult is a smoker? b. What is the probability that the selected adult is under 50 years of age? c. What is the probability that the selected adult is a smoker that is 65 or older? d. What is the probability that the selected adult is a smoker or is age 65 or older?

A rental car company offers two options when a car is rented. A renter can choose to pre-purchase gas or not and can also choose to rent a GPS device or not. Suppose that the events \(A=\) event that gas is pre-purchased \(B=\) event that a GPS is rented are independent with \(P(A)=0.20\) and \(P(B)=0.15\). a. Construct a hypothetical 1000 table with columns corresponding to whether or not gas is pre-purchased and rows corresponding to whether or not a GPS is rented. b. Use the table to find \(P(A \cup B)\). Give a long-run relative frequency interpretation of this probability.

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