variances. Imagine that instead of wanting increase power, or decrease type II error. F her or not to send larvae found in still water for the mosquito vector of Zika virus. You w to become a vector and spread the diseas with data behaving the way they do in the 0 test statistic 5 10 5% to 1% or lower d lower-tail hypothesis test 5% to 10% or higher cive probability of the alternate from 0.95 to ative probability of the alternate from 0.95 t
variances. Imagine that instead of wanting increase power, or decrease type II error. F her or not to send larvae found in still water for the mosquito vector of Zika virus. You w to become a vector and spread the diseas with data behaving the way they do in the 0 test statistic 5 10 5% to 1% or lower d lower-tail hypothesis test 5% to 10% or higher cive probability of the alternate from 0.95 to ative probability of the alternate from 0.95 t
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 the figure below, the dotted vertical line indicates the upper 2.5% tail of the null
distribution, while the solid vertical line indicates the lower 2.5% tail of the alternate
distribution. The density of the null is shown in a dashed line, while the density of the
alternate is shown in a solid line. Both the null and the alternate are normal
distributions with equal variances. Imagine that instead of wanting to decrease false
positives, you wanted to increase power, or decrease type II error. For example, you
want to determine whether or not to send larvae found in still water in back yards to
an entomologist to check for the mosquito vector of Zika virus. You don't want to miss
any larvae that could grow to become a vector and spread the disease. How could you
reduce this type of error with data behaving the way they do in the plot?
probability density
In
-5
0
0.00 0.05 0.10 0.15 0.20
test statistic
5
10
Decrease alpha from 5% to 1% or lower
Switch to a one-sided lower-tail hypothesis test
Increase alpha from 5% to 10% or higher
O Increase the cumulative probability of the alternate from 0.95 to 0.99
Decrease the cumulative probability of the alternate from 0.95 to 0.90](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9531e306-46df-4fea-92cf-a4919f3faaec%2F5ee367e1-e28c-4c2d-abf3-66217c7df210%2Flnqn617_processed.png&w=3840&q=75)
Transcribed Image Text:In the figure below, the dotted vertical line indicates the upper 2.5% tail of the null
distribution, while the solid vertical line indicates the lower 2.5% tail of the alternate
distribution. The density of the null is shown in a dashed line, while the density of the
alternate is shown in a solid line. Both the null and the alternate are normal
distributions with equal variances. Imagine that instead of wanting to decrease false
positives, you wanted to increase power, or decrease type II error. For example, you
want to determine whether or not to send larvae found in still water in back yards to
an entomologist to check for the mosquito vector of Zika virus. You don't want to miss
any larvae that could grow to become a vector and spread the disease. How could you
reduce this type of error with data behaving the way they do in the plot?
probability density
In
-5
0
0.00 0.05 0.10 0.15 0.20
test statistic
5
10
Decrease alpha from 5% to 1% or lower
Switch to a one-sided lower-tail hypothesis test
Increase alpha from 5% to 10% or higher
O Increase the cumulative probability of the alternate from 0.95 to 0.99
Decrease the cumulative probability of the alternate from 0.95 to 0.90
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