A researcher wants to know if a treatment significantly changes the wellbeing of someone with depression. The average person with depression scores a 7.2 on a wellbeing scale with a SD of 1.4 points. The researcher administers the treatment to 25 clients for a month and finds their wellbeing at the end to be 7.7. Assume an alpha level of .05. Imagine we know that a treatment actually does have an effect but the researcher concludes there is no effect. 1a. What error has the researcher made? 1b. Why might a researcher make this error? 1c. What is the probability of this error? 1d. How could we decrease this probability?

A researcher wants to know if a treatment significantly changes the wellbeing of someone with depression. The average person with depression scores a 7.2 on a wellbeing scale with a SD of 1.4 points. The researcher administers the treatment to 25 clients for a month and finds their wellbeing at the end to be 7.7. Assume an alpha level of .05. Imagine we know that a treatment actually does have an effect but the researcher concludes there is no effect. 1a. What error has the researcher made? 1b. Why might a researcher make this error? 1c. What is the probability of this error? 1d. How could we decrease this probability?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 2CYU

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A researcher wants to know if a treatment significantly changes the wellbeing of someone with depression. The average person with depression scores a 7.2 on a wellbeing scale with a SD of 1.4 points. The researcher administers the treatment to 25 clients for a month and finds their wellbeing at the end to be 7.7. Assume an alpha level of .05. imagine we know that a treatment does not actually have an effect but the researcher concludes there is an effect. 1a.Why might a researcher make this error? 1b. What is the probability of this error? 1c. How could we decrease this probability?
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A study assessed the lung destructive index among smokers and non- smokers provided the following data Smokers : overline x 1 =14.5 n 1 =12 S P =2.50 Non- Smokers: overline x 2 =9.5 n 2 =10 a = .05 From the available data, can we conclude that smokers have greater lung damage than non-smokers?
If a newborn lab rat receives a hormone and its weight (in ounces) is converted into a z score that is greater than +2.00, what would the researcher most likely conclude about whether or not the hormone had an effect on the rat's weight?