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 endpoint(s) on the given normal density curve with the given property. (a) The area to the right of the endpoint on a \(N(50,4)\) curve is about 0.01 (b) The area to the left of the endpoint on a \(N(2,0.05)\) curve is about 0.70 . (c) The symmetric middle area on a \(N(100,20)\) curve is about 0.95 .

Short Answer

Expert verified
The endpoints for each part respectively are 40.68; 2.026; and 60.8,139.2.

Step by step solution

01

Understanding of given normal density curves

For each part of the exercise, you'll need to consider the properties of the given normal distribution curve. Properties consist of mean (mu) and standard deviation (sigma). For (a), the curve is \(N(50,4)\) where 50 is the mean and 4 is the standard deviation. For (b), the curve is \(N(2,0.05)\) and for (c), it is \(N(100,20)\).
02

Calculation for area to the right of the endpoint

Only for (a), use the z-table to find the z-score corresponding to the area of 0.01 which is -2.33. Then, use the z-score formula: z=X-μ/σ, where z is the z-score, X is the score, μ is the mean, and σ is the standard deviation. When you solve for X in the formula for part (a), you'll get \(X = μ + zσ = 50 + (-2.33 * 4) = 40.68\).
03

Calculation for area to the left of the endpoint

For (b), use z-table to find the z-score corresponding to area of 0.70 which is 0.52. Use the z-score formula again: z=X-μ/σ. Then solve for X and get \(X = μ + zσ = 2 + (0.52 * 0.05) = 2.026\).
04

Calculation for symmetric middle area

For (c), since the given area is in the middle of the curve, we have to split it into two. That means 0.025 (being 0.5*(1-0.95)) is at each end. The corresponding z-score from the z-table is ±1.96 for the area 0.025. Then, solve for X: \(X = μ + zσ = 100 + (1.96 * 20) = 139.2\). Similarly, for the lower limit: \(X = μ - zσ = 100 - (1.96 * 20) = 60.8\). Therefore, the endpoints are 60.8 and 139.2.

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 \(2 ?\)

For Exercises \(\mathrm{P} .27\) to \(\mathrm{P} .30,\) state whether the two events (A and B) described are disjoint, independent, and/or complements. (It is possible that the two events fall into more than one of the three categories, or none of them.) Draw three skittles (possible colors: yellow, green, red, purple, and orange) from a bag. Let A be the event that all three skittles are green and \(\mathrm{B}\) be the event that at least one skittle is red.

In Exercises \(\mathrm{P} .112\) to \(\mathrm{P} .115,\) calculate the mean and standard deviation of the binomial random variable. A binomial random variable with } n=10 \text { and }\\\ &p=0.8 \end{aligned} $$

College Graduates From the 2010 US Census, we learn that \(27.5 \%\) of US adults have graduated from college. If we take a random sample of 12 US adults, what is the probability that exactly 6 of them are college graduates?

Random Samples of College Degree Proportions In Exercise P.162, we see that the distribution of sample proportions of US adults with a college degree for random samples of size \(n=500\) is \(N(0.325,0.021) .\) How often will such samples have a proportion, \(\hat{p},\) that is more than \(0.35 ?\)

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