Textbook ExpertVerified Tutor
19 Nov 2021
Given information
From the previous task, it is seen that the histograms showing distribution of the closing stock prices of the US semiconductor companies is different from the histogram showing the distribution of the mean closing stock prices of a sample of 5 randomly selected US semi conductor companies.
Step-by-step explanation
Step 1.
According to the central limit theorem, for a large enough sample, the distribution of the sample mean follows a normal distribution irrespective of the underlying population distribution.
This is the reason why the distribution of the sample mean closing stock prices of a sample of 5 randomly selected US semi conductor companies is bell shaped even when the distribution of the closing stock prices of the US semiconductor companies is not bell shaped.
Unlock all Textbook Solutions
Already have an account? Log in
Introductory Statistics
OER Edition, 2013
Openstax
ISBN: 9781938168208
Solutions
Chapter
Section
- Problem 49a
- Problem 61a
- Problem 61a
- Problem 61b
- Problem 61c
- Problem 61d
- Problem 61e
- Problem 61f
- Problem 61g
- Problem 62a
- Problem 62b
- Problem 62c
- Problem 63a
- Problem 63b
- Problem 63c
- Problem 63d
- Problem 63e
- Problem 64a
- Problem 64b
- Problem 64c
- Problem 64d
- Problem 65a
- Problem 65b
- Problem 65c
- Problem 65d
- Problem 65e
- Problem 65f
- Problem 66a
- Problem 66b
- Problem 66c
- Problem 66d
- Problem 67a
- Problem 67b
- Problem 67c
- Problem 68a
- Problem 68b
- Problem 68c
- Problem 69b
- Problem 69c
- Problem 69d
- Problem 69e
- Problem 70
- Problem 71a
- Problem 71b
- Problem 71c
- Problem 71d
- Problem 72a
- Problem 72b
- Problem 72c
- Problem 72d
- Problem 73a
- Problem 73b
- Problem 73c
- Problem 73d
- Problem 74a
- Problem 74b
- Problem 74c
- Problem 74d
- Problem 74e
- Problem 74f
- Problem 75a
- Problem 75b
- Problem 75c
- Problem 75d
- Problem 75e
- Problem 75f
- Problem 75g
- Problem 75h
- Problem 75i
- Problem 76a
- Problem 76b
- Problem 76c
- Problem 76d
- Problem 76e
- Problem 76f
- Problem 76g
- Problem 77a
- Problem 77b
- Problem 77c
- Problem 77d
- Problem 77e
- Problem 77f
- Problem 77g
- Problem 77h
- Problem 78
- Problem 79
- Problem 80
- Problem 81
- Problem 82
- Problem 83
- Problem 84
- Problem 85a
- Problem 85b
- Problem 85c
- Problem 85d
- Problem 85e
- Problem 86a
- Problem 86b
- Problem 86c
- Problem 87a
- Problem 87b
- Problem 87b
- Problem 87c
- Problem 87d
- Problem 87e
- Problem 87f
- Problem 87g
- Problem 87h
- Problem 87i
- Problem 88a
- Problem 88b
- Problem 88c
- Problem 88d
- Problem 88e
- Problem 88f
- Problem 88g
- Problem 88h
- Problem 88i
- Problem 89a
- Problem 89b
- Problem 90a
- Problem 90b
- Problem 90c
- Problem 90d
- Problem 90e
- Problem 90f
- Problem 90g
- Problem 90h
- Problem 90i
- Problem 91
- Problem 92a
- Problem 92b
- Problem 93a
- Problem 93b
- Problem 93c
- Problem 93d
- Problem 94a
- Problem 94b
- Problem 95
- Problem 96
- Problem 97