When can the Empirical Rule be used to identify unusual results in a binomial experiment? Why can the Empirical Rule be used to identify results in a binomial experiment? Choose the correct answer below. O A. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from u-20 to u+ 20. The Empirical Rule can be used to identify results in binomial experiments when np(1-p)s 10. O B. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from u-20 to u +20. The Empirical Rule can always be used to identify results in binomial experiments. O C. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from u-2np to u+ 2np. The Empirical Rule can be used to identify results in binomial experiments when np(1- p)2 10. O D. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from u-20 to u + 20. The Empirical Rule can be used to identify results in binomial experiments when np(1 -p) 2 10.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Topic Video
Question
ple
When can the Empirical Rule be used to identify unusual results in a binomial experiment? Why can the Empirical Rule be used to identify results in a binomial experiment?
Choose the correct answer below.
es
O A. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from u-20 to u + 20. The Empirical Rule can be used to identify
results in binomial experiments when np(1-p)s 10.
O B. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from p-20 to u + 20. The Empirical Rule can always be used to
identify results in binomial experiments.
O C. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from u-2np to u+ 2np. The Empirical Rule can be used to identify
results in binomial experiments when np(1 - p) 2 10.
bus
O D. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from u- 20 to u + 20. The Empirical Rule can be used to identify
results in binomial experiments when np(1 - p) 2 10.
ules
Transcribed Image Text:ple When can the Empirical Rule be used to identify unusual results in a binomial experiment? Why can the Empirical Rule be used to identify results in a binomial experiment? Choose the correct answer below. es O A. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from u-20 to u + 20. The Empirical Rule can be used to identify results in binomial experiments when np(1-p)s 10. O B. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from p-20 to u + 20. The Empirical Rule can always be used to identify results in binomial experiments. O C. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from u-2np to u+ 2np. The Empirical Rule can be used to identify results in binomial experiments when np(1 - p) 2 10. bus O D. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from u- 20 to u + 20. The Empirical Rule can be used to identify results in binomial experiments when np(1 - p) 2 10. ules
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps with 2 images

Blurred answer
Knowledge Booster
Hypothesis Tests and Confidence Intervals for Means
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman