Concept explainers
News flash: The following table presents the circulation (in thousands) for the top 25 U.S. daily newspapers in both print and digital editions.
- Find the
mean andmedian circulation for print editions. - Find the mean and median circulation for digital editions.
- The editor of an Internet news source says that digital circulation is more than half of print circulation. Do the data support this claim?
(a)
To Find: the mean and median circulation for print editions.
Answer to Problem 46E
For print editions, mean circulation = 335.07 and median circulation
Explanation of Solution
Given:
Formula used:
Calculation- Mean and Median circulation for print editions,
For Median, first arrange data in sequential order,
Thus, for print editions, mean circulation 335.07 and median circulation
(b)
To Find: To Find the mean and median circulation for print editions.
Answer to Problem 46E
For digital editions, mean circulation 163.19 and median circulation
Explanation of Solution
Calculation- Mean and Median circulation for digital editions,
For Median, first arrange data in sequential order,
Thus, for digital editions, mean circulation
(c)
To Check: Whether digital circulation is more than half of print circulation.
Answer to Problem 46E
Digital circulation is not more than half of print circulation.
Explanation of Solution
By looking at mean and median number of print and digital circulation,
For print editions, mean circulation 335.07 and median circulation
For digital editions, mean circulation 163.19 and median circulation
So, it can be said from above data, the claim by an editor that digital circulation is more than half of print circulation is incorrect.
Want to see more full solutions like this?
Chapter 3 Solutions
Loose Leaf Version For Elementary Statistics
- 19. Let X be a non-negative random variable. Show that lim nE (IX >n)) = 0. E lim (x)-0. = >arrow_forward(c) Utilize Fubini's Theorem to demonstrate that E(X)= = (1- F(x))dx.arrow_forward(c) Describe the positive and negative parts of a random variable. How is the integral defined for a general random variable using these components?arrow_forward
- 26. (a) Provide an example where X, X but E(X,) does not converge to E(X).arrow_forward(b) Demonstrate that if X and Y are independent, then it follows that E(XY) E(X)E(Y);arrow_forward(d) Under what conditions do we say that a random variable X is integrable, specifically when (i) X is a non-negative random variable and (ii) when X is a general random variable?arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillBig Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin HarcourtHolt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGAL