In a large class of introductory Statistics students, the professor has each person toss a coin 22 times and calculate the proportion of his or her tosses that were heads. Complete parts a through d below. a) Confirm that you can use a Normal model here. The Independence Assumption ▼ is not is satisfied because the sample proportions ▼ are are not independent of each other since one sample proportion ▼ does not affect can affect another sample proportion. The Success/Failure Condition ▼ is not is satisfied because np=nothing and nq=nothing, which are both ▼ greater than or equal to less than 10. (Type integers or decimals. Do not round.) b) Use the 68–95–99.7 Rule to describe the sampling distribution model. About 68% of the students should have proportions between nothing and nothing, about 95% between nothing and nothing, and about 99.7% between nothing and nothing. (Type integers or decimals rounded to four decimal places as needed. Use ascending order.) c) They increase the number of tosses to 70 each. Draw and label the appropriate sampling distribution model. Check the appropriate conditions to justify your model. The Independence Assumption ▼ is is not satisfied because the sample proportions ▼ are not are independent of each other since one sample proportion ▼ can affect does not affect another sample proportion. The Success/Failure Condition ▼ is not is satisfied because np=nothing and nq=nothing, which are both ▼ less than greater than or equal to 10. (Type integers or decimals. Do not round.) Use the graph below to describe the sampling distribution model.
In a large class of introductory Statistics students, the professor has each person toss a coin 22 times and calculate the proportion of his or her tosses that were heads. Complete parts a through d below. a) Confirm that you can use a Normal model here. The Independence Assumption ▼ is not is satisfied because the sample proportions ▼ are are not independent of each other since one sample proportion ▼ does not affect can affect another sample proportion. The Success/Failure Condition ▼ is not is satisfied because np=nothing and nq=nothing, which are both ▼ greater than or equal to less than 10. (Type integers or decimals. Do not round.) b) Use the 68–95–99.7 Rule to describe the sampling distribution model. About 68% of the students should have proportions between nothing and nothing, about 95% between nothing and nothing, and about 99.7% between nothing and nothing. (Type integers or decimals rounded to four decimal places as needed. Use ascending order.) c) They increase the number of tosses to 70 each. Draw and label the appropriate sampling distribution model. Check the appropriate conditions to justify your model. The Independence Assumption ▼ is is not satisfied because the sample proportions ▼ are not are independent of each other since one sample proportion ▼ can affect does not affect another sample proportion. The Success/Failure Condition ▼ is not is satisfied because np=nothing and nq=nothing, which are both ▼ less than greater than or equal to 10. (Type integers or decimals. Do not round.) Use the graph below to describe the sampling distribution model.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
In a large class of introductory Statistics students, the professor has each person toss a coin
22
times and calculate the proportion of his or her tosses that were heads. Complete parts a through d below.a) Confirm that you can use a Normal model here.
The Independence Assumption
satisfied because the sample proportions
independent of each other since one sample proportion
another sample proportion. The Success/Failure Condition
satisfied because
10.
▼
is not
is
▼
are
are not
▼
does not affect
can affect
▼
is not
is
np=nothing
and
nq=nothing,
which are both
▼
greater than or equal to
less than
(Type integers or decimals. Do not round.)
b) Use the
68–95–99.7
Rule to describe the sampling distribution model.About 68% of the students should have proportions between
nothing
and
nothing,
about 95% between
nothing
and
nothing,
and about 99.7% between
nothing
and
nothing.
(Type integers or decimals rounded to four decimal places as needed. Use ascending order.)
c) They increase the number of tosses to
70
each. Draw and label the appropriate sampling distribution model. Check the appropriate conditions to justify your model.The Independence Assumption
satisfied because the sample proportions
independent of each other since one sample proportion
another sample proportion. The Success/Failure Condition
satisfied because
10.
▼
is
is not
▼
are not
are
▼
can affect
does not affect
▼
is not
is
np=nothing
and
nq=nothing,
which are both
▼
less than
greater than or equal to
(Type integers or decimals. Do not round.)
Use the graph below to describe the sampling distribution model.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 2 images
Knowledge Booster
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.Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
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
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman