Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

In Exercises \(\mathrm{P} .63\) to \(\mathrm{P} .67,\) state whether the process described is a discrete random variable, is a continuous random variable, or is not a random variable. Draw 10 cards from a deck and find the proportion that are hearts.

Short Answer

Expert verified
The process describes a discrete random variable.

Step by step solution

01

Understanding Types of Variables

Discrete random variables have specific and countable outcomes, usually described as having a finite or countable number of outcomes. Continuous random variables, on the other hand, can take on any values in a given range and are usually measurements. Non-random variables are those that are not influenced by randomness.
02

Analyze Given Process

The process is about drawing 10 cards from a deck and finding the proportion of those cards that are hearts. This process has a countable number of outcomes since a deck of cards has a finite number of heart cards. The result, which is the proportion of heart cards, can only take certain values given a finite number of draws (i.e., 10 draws).
03

Identify the Type of Variable

Based on the analysis in Step 2, the process describes a discrete random variable. This is because the outcomes (i.e., the number of heart cards in 10 draws) are countable and finite.

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 Vaia!

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

Benford's Law Frank Benford, a physicist working in the 1930 s, discovered an interesting fact about some sets of numbers. While you might expect the first digits of numbers such as street addresses or checkbook entries to be randomly distributed (each with probability \(1 / 9\) ), Benford showed that in many cases the distribution of leading digits is not random, but rather tends to have more ones, with decreasing frequencies as the digits get larger. If a random variable \(X\) records the first digit in a street address, Benford's law says the probability function for \(X\) is $$ P(X=k)=\log _{10}(1+1 / k) $$ (a) According to Benford's law, what is the probability that a leading digit of a street address is \(1 ?\) What is the probability for \(9 ?\) (b) Using this probability function, what proportion of street addresses begin with a digit greater than \(2 ?\)

Exam Grades Exam grades across all sections of introductory statistics at a large university are approximately normally distributed with a mean of 72 and a standard deviation of 11 . Use the normal distribution to answer the following questions. (a) What percent of students scored above a \(90 ?\) P.167 Exam Grades Exam grades across all sections of introductory statistics at a large university are approximately normally distributed with a mean of 72 and a standard deviation of \(11 .\) Use the normal distribution to answer the following questions. (a) What percent of students scored above a \(90 ?\)

Class Year Suppose that undergraduate students at a university are equally divided between the four class years (first-year, sophomore, junior, senior) so that the probability of a randomly chosen student being in any one of the years is \(0.25 .\) If we randomly select four students, give the probability function for each value of the random variable \(X=\) the number of seniors in the four students.

In Exercises \(\mathrm{P} .78\) to \(\mathrm{P} .81,\) use the probability function given in the table to calculate: (a) The mean of the random variable (b) The standard deviation of the random variable $$ \begin{array}{lllll} \hline x & 20 & 30 & 40 & 50 \\ \hline p(x) & 0.6 & 0.2 & 0.1 & 0.1 \\ \hline \end{array} $$

Slippery Elum is a baseball pitcher who uses three pitches, \(60 \%\) fastballs, \(25 \%\) curveballs, and the rest spitballs. Slippery is pretty accurate with his fastball (about \(70 \%\) are strikes), less accurate with his curveball (50\% strikes), and very wild with his spitball (only \(30 \%\) strikes). Slippery ends one game with a strike on the last pitch he throws. What is the probability that pitch was a curveball?

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.

Sign-up for free