If we reject the null hypothesis of equal means, we often then want to investigate further and compare pairs of treatment group means to see if the corresponding population means differ. If we want to test several such pairs, we must adjust for performing several tests to keep the overall risk of a ____________ from growing too large. Such adjustments are called methods for multiple comparisons.  a. Standard Error b. Type-I Error c. Type-II Error d. Mean Square Error

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 5E
icon
Related questions
Question
If we reject the null hypothesis of equal means, we often then want to investigate further and compare pairs of treatment group means to see if the corresponding population means differ. If we want to test several such pairs, we must adjust for performing several tests to keep the overall risk of a ____________ from growing too large. Such adjustments are called methods for multiple comparisons. 

a. Standard Error
b. Type-I Error
c. Type-II Error
d. Mean Square Error
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Hypothesis Tests and Confidence Intervals for Equality of Variances
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
Calculus For The Life Sciences
Calculus For The Life Sciences
Calculus
ISBN:
9780321964038
Author:
GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:
Pearson Addison Wesley,
Glencoe Algebra 1, Student Edition, 9780079039897…
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill