/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 29 Of the 24,611 degrees in mathema... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Of the 24,611 degrees in mathematics given by U.S. colleges and universities in a recent year, \(70 \%\) were bachelor's degrees, \(24 \%\) were master's degrees, and the rest were doctorates. Moreover, women earned \(43 \%\) of the bachelor's degrees, \(41 \%\) of the master's degrees, and \(29 \%\) of the doctorates. (a) How many of the mathematics degrees given in this year were earned by women? Justify your answer. (b) Are the events "degree earned by a woman" and "degree was a bachelor's degree" independent? Justify your answer using appropriate probabilities. (c) If you choose 2 of the 24,61 l mathematics degrees at random, what is the probability that at least 1 of the 2 degrees was earned by a woman? Show your work.

Short Answer

Expert verified
(a) 10,255 degrees were earned by women. (b) The events are not independent. (c) Probability of at least one degree by a woman is 0.6588.

Step by step solution

01

Calculate the Number of Each Degree Type

First, calculate the number of each type of degree awarded. There are 24,611 total degrees.- Bachelor's degrees: \( 0.70 \times 24,611 = 17,227.7 \approx 17,228 \)- Master's degrees: \( 0.24 \times 24,611 = 5,906.64 \approx 5,907 \)- Doctorates: \( 24,611 - 17,228 - 5,907 = 1,476 \)
02

Calculate Degrees Earned by Women

Use the percentage of degrees earned by women for each type.- Bachelor's degrees by women: \( 0.43 \times 17,228 = 7,405.04 \approx 7,405 \)- Master's degrees by women: \( 0.41 \times 5,907 = 2,421.87 \approx 2,422 \)- Doctorates by women: \( 0.29 \times 1,476 = 428.04 \approx 428 \)Adding these, the total number of degrees earned by women is \( 7,405 + 2,422 + 428 = 10,255 \).
03

Calculate the Probability for Independence Test

To test independence, compare probabilities.- Probability a degree is a bachelor's: \( P(B) = \frac{17,228}{24,611} \)- Probability a degree is by a woman: \( P(W) = \frac{10,255}{24,611} \)- Probability a bachelor's is by a woman: \( P(W | B) = \frac{7,405}{17,228} \)Check if \( P(W | B) = P(W) \). If not, the events are not independent.
04

Calculate Specific Probabilities

Continuing Step 3 calculations,- \( P(W) = \frac{10,255}{24,611} \approx 0.4165 \)- \( P(W | B) = \frac{7,405}{17,228} \approx 0.4297 \)Since \( P(W | B) eq P(W) \), the events are not independent.
05

Probability of at Least One Woman

Use complementary probability.- Probability neither degree is by a woman:\[ P(\text{neither is by a woman}) = \left(1 - \frac{10,255}{24,611}\right)^2 = \left(\frac{14,356}{24,611}\right)^2 \]- Calculate this: \( \left( \frac{14,356}{24,611} \right)^2 \approx 0.3412 \)Thus, probability at least one is by a woman is \( 1 - 0.3412 = 0.6588 \).

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

Key Concepts

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

Mathematics Degrees
In the field of mathematics, degrees serve as a formal recognition of the knowledge and skills acquired by students. They are categorized primarily into three types: bachelor's, master's, and doctorate degrees. Each type denotes a different level of academic achievement and expertise.
The distribution of these degrees in a given year can provide insights into educational trends and shifts in focus among students. For instance, in a reported year, U.S. colleges awarded a total of 24,611 degrees in mathematics, with an overwhelming 70% being bachelor's degrees, 24% master's, and the remainder being doctorates.
  • **Bachelor's Degrees**: This is often the first level of degree a student earns in their academic journey. It typically takes four years of full-time study. In the given data, there were approximately 17,228 bachelor's degrees awarded.
  • **Master's Degrees**: These advance beyond bachelor level, often taking an additional two years after completing a bachelor's program. There were about 5,907 master's degrees awarded.
  • **Doctorates**: The highest academic degree, involving in-depth research. There were 1,476 doctorate degrees awarded, reflecting a more dedicated segment of scholars aiming for advanced contributions in mathematics.
Understanding how these degrees are distributed gives a clearer image of academic focus and the level of specialization students are pursuing in mathematics.
Independence Test
The concept of independence in probability refers to situations where the occurrence of one event does not affect the probability of another event. To determine whether two events are independent, we can test if the probability of one event occurring given the other event has already occurred, is equal to the probability of the first event independently.
In this context, we are checking if the event "a degree earned by a woman" is independent of "the degree being a bachelor's degree." This involves calculating certain probabilities:
  • **Probability of a Bachelor's Degree,** \( P(B) = \frac{17,228}{24,611} \).
  • **Probability of a Degree by a Woman,** \( P(W) = \frac{10,255}{24,611} \).
  • **Probability of a Bachelor's Degree by a Woman,** \( P(W | B) = \frac{7,405}{17,228} \).
The events are considered independent if \( P(W | B) \) is equal to \( P(W) \). In this exercise, \( P(W | B) \approx 0.4297 \) is not equal to \( P(W) \approx 0.4165 \). Therefore, we learn that earning a degree as a woman is not independent of the degree being a bachelor's degree. This implies that gender distribution varies across different types of mathematics degrees.
Conditional Probability
Conditional probability is a measure of the probability of an event occurring given that another event has occurred. This concept is crucial in understanding how probabilities are influenced by certain conditions. It is calculated by considering the probability of the intersection of events divided by the probability of the condition.
In mathematical terms, if we have two events A and B, the conditional probability of A given B, is expressed as \( P(A | B) = \frac{P(A \cap B)}{P(B)} \). In the exercise, we calculate the conditional probability \( P(W | B) \), to see the likelihood of a degree being earned by a woman given that it's a bachelor's degree.
  • **Computation:** \( P(W | B) = \frac{7,405}{17,228} \approx 0.4297 \).
This shows how knowing one aspect (degree type) changes the likelihood we are assessing (earned by a woman), showcasing the relationships between different events and how one event can inform the probability of another.
Women's Participation in STEM
Women's participation in STEM fields, including mathematics, has been a critical focus of educational policies aiming towards gender equality. Analyzing the proportion of women earning degrees in STEM provides insights into progress and areas that need attention.
This data reveals how women were represented in mathematics degree achievements:
  • **Bachelor's Degrees:** 43% were earned by women, indicating a strong presence at the undergraduate level.
  • **Master's Degrees:** A slight decrease with 41% representation by women suggests a drop-off at higher education levels.
  • **Doctorates:** Only 29% of doctorates were awarded to women. This signifies a concerning gap at the highest echelons of academic achievement in mathematics.
These statistics highlight that while women are making substantial strides in undergraduate mathematics, there is still a significant need for increased support and encouragement as they progress to more advanced studies. Addressing this disparity is vital for tapping the full potential of talent in the STEM fields and achieving gender parity.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

The French naturalist Count Buffon \((1707-1788)\) tossed a coin 4040 times. He got 2048 heads. That's a bit more than one-half. Is this evidence that Count Buffon's coin was not balanced? To find out, Luisa decides to perform a significance test. Unfortunately, she made a few errors along the way. Your job is to spot the mistakes and correct them. $$ \begin{array}{l} H_{0}: \mu>0.5 \\ H_{a}: \bar{x}=0.5 \end{array} $$ \(\bullet\quad\) \(10 \%: 4040(0.5)=2020\) and \(4040(1-0.5)=2020\) are both at least 10 . \(\bullet\quad\) Large Counts: There are at least 40,400 coins in the world. \(t=\frac{0.5-0.507}{\sqrt{\frac{0.5(0.5)}{4040}}}=-0.89 ; P\) -value \(=1-0.1867=0.8133\) Reject \(H_{0}\) because the \(P\) -value is so large and conclude that the coin is fair.

In the "Ask Marilyn" column of Parade magazine, a reader posed this question: "Say that a slot machine has five wheels, and each wheel has five symbols: an apple, a grape, a peach, a pear, and a plum. I pull the lever five times. What are the chances that I'll get at least one apple?" Suppose that the wheels spin independently and that the five symbols are equally likely to appear on each wheel in a given spin. (a) Find the probability that the slot player gets at least one apple in one pull of the lever. Show your method clearly. (b) Now answer the reader's question. Show your method clearly.

A manufacturer of compact discs (CDs) wants to be sure that their CDs will fit inside the plastic cases they have bought for packaging. Both the CDs and the cases are circular. According to the supplier, the plastic cases vary Normally with mean diameter \(\mu=4.2\) inches and standard deviation \(\sigma=0.05\) inches. The CD manufacturer decides to produce CDs with mean diameter \(\mu=4\) inches. Their diameters follow a Normal distribution with \(\sigma=0.1\) inches. (a) Let \(X=\) the diameter of a randomly selected \(\mathrm{CD}\) and \(Y=\) the diameter of a randomly selected case. Describe the shape, center, and spread of the distribution of the random variable \(X-Y\). What is the importance of this random variable to the CD manufacturer? (b) Compute the probability that a randomly selected CD will fit inside a randomly selected case. (c) The production process actually runs in batches of 100 CDs. If each of these CDs is paired with a randomly chosen plastic case, find the probability that all the CDs fit in their cases.

Bottles of a popular cola are supposed to contain 300 milliliters (ml) of cola. There is some variation from bottle to bottle because the filling machinery is not perfectly precise. An inspector measures the contents of six randomly selected bottles from a single day's production. The results are $$ \begin{array}{llllll} 299.4 & 297.7 & 301.0 & 298.9 & 300.2 & 297.0 \end{array} $$ Do these data provide convincing evidence that the mean amount of cola in all the bottles filled that day differs from the target value of \(300 \mathrm{ml} ?\)

Does Friday the 13 th have an effect on people's behavior? Researchers collected data on the number of shoppers at a sample of 45 nearby grocery stores on Friday the 6 th and Friday the 1 3th in the same month. The dotplot and computer output below summarize the data on the difference in the number of shoppers at each store on these two days (subtracting in the order 6 th minus 13 th \() .^{25}\) Researchers would like to carry out a test of \(H_{0}: \mu_{d}=0\) versus \(H_{a}: \mu_{d} \neq 0,\) where \(\mu_{d}\) is the true mean difference in the number of grocery shoppers on these two days. Which of the following conditions for performing a paired \(t\) test are clearly satisfied? I. Random II. \(10 \%\) III. Normal/Large Sample (a) I only (b) II only (c) III only (d) I and II only (e) I, II, and III

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.