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

Find the value of \(\left( {\begin{array}{*{20}{c}}{\frac{3}{2}}\\4\end{array}} \right)\).

Short Answer

Expert verified

The value of \(\left( {\begin{array}{{}{}}{\frac{3}{2}}\\4\end{array}} \right)\) is \(\frac{3}{{128}}\).

Step by step solution

01

Given information

Referring to the equations 5.3.13 and 5.3.14.

If m and r both are positive integers, then the binomial coefficient is given as,\(\begin{array}{c}\left( {\begin{array}{{}{}}m\\r\end{array}} \right) = \frac{{m!}}{{r!\left( {m - r} \right)!}}\\ = \frac{{m\left( {m - 1} \right)...\left( {m - r + 1} \right)}}{{r!}}\end{array}\)

02

Compute the required value

The value of \(\left( {\begin{array}{{}{}}{\frac{3}{2}}\\4\end{array}} \right)\) is given by,

\(\begin{array}{}\left( {\begin{array}{{}{}}{\frac{3}{2}}\\4\end{array}} \right) = \frac{{\left( {\frac{3}{2}} \right)!}}{{4!\left( {\frac{3}{2} - 4} \right)!}}\\ = \frac{{\frac{3}{2}\left( {\frac{3}{2} - 1} \right)\left( {\frac{3}{2} - 2} \right)\left( {\frac{3}{2} - 4 + 1} \right)}}{{4!}}\\ = \frac{{\frac{3}{2} \times \frac{1}{2} \times \left( { - \frac{1}{2}} \right) \times \left( { - \frac{3}{2}} \right)}}{{4 \times 3 \times 2 \times 1}}\\ = \frac{3}{{128}}\end{array}\)

Therefore, the value of \(\left( {\begin{array}{{}{}}{\frac{3}{2}}\\4\end{array}} \right)\) is \(\frac{3}{{128}}\).

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

Suppose that X is a random variable having a continuous distribution with p.d.f.\(f\left( x \right)\)and c.d.f.\(F\left( x \right)\)and for which\({\rm P}\left( {X > 0} \right) = 1\)Let the failure rate\(h\left( x \right)\) be as defined in Exercise 18 of Sec. 5.7. Show that\(\exp \left[ { - \int\limits_0^x {h\left( t \right)dt} } \right] = 1 - F\left( x \right)\)

Suppose that the random variablesXandYare independent and each has the standard normal distribution. Show that the quotientX/Yhas the Cauchy distribution.

Suppose that n students are selected at random without replacement from a class containing T students, of whom A are boys and T โ€“ A are girls. Let X denote the number of boys that are obtained. For what sample size n will Var(X) be a maximum?

Suppose that a random sample of 16 observations is drawn from the normal distribution with a mean \({\bf{\mu }}\) and standard deviation of 12 and that independently another random sample of 25 observations is drawn from the normal distribution with the same mean \({\bf{\mu }}\) and standard deviation of 20. Let \(\overline {\bf{X}} \,\,{\bf{and}}\,\,\overline {\bf{Y}} \) denote the sample means of the two samples. Evaluate \({\bf{Pr}}\left( {\left| {\overline {\bf{x}} - \overline {\bf{y}} } \right|{\bf{ < 5}}} \right)\).

Suppose that X has the normal distribution with mean\({\bf{\mu }}\)and variance\({{\bf{\sigma }}^{\bf{2}}}\). Express\({\bf{E}}\left( {{{\bf{X}}^{\bf{3}}}} \right)\)in terms of\({\bf{\mu }}\)and\({{\bf{\sigma }}^{\bf{2}}}\).

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