The researcher's scientific/alternative hypothesis is:
- Different sources of caffeine leads to differences in women's attentional control performance.
The researcher's null hypothesis is:
- Different sources of caffeine leads to no difference in women's attentional control performance.
The type of sample which the researcher is using is:
A disadvantage to using this sample type is:
The thing which the researcher can conclude about these data is:
- It is conclusive based on the reaction of the women to the independent variables.
If, in the population, women actually show NO difference in attentional control performance after drinking black tea versus coffee, the type of statistical error which the researcher has made is:
<h3>What is a Scientific Hypothesis?</h3>
This refers to the difference between two variables which is discovered during a scientific research and is an observed pattern.
Read more about scientific hypothesis here:
brainly.com/question/896413
Answer:
1.075
Step-by-step explanation:
cuz I said so
Answer:
A) True
Step-by-step explanation:
In an experiment that has the purpose of testing the efficacy of a procedure or drug, comparison is made against the efficacy of a placebo, a procedure or drug that is <em>intended to have no effect whatever</em>.
__
Famously, a placebo is often found to be nearly as effective (or even more effective) than the procedure or drug on trial. This effect is known as "the placebo effect."
Answer:
Reject H0 since test statistic <-2.492
Step-by-step explanation:
Given that the American Water Works Association reports that the per capita water use in a single-family home is 74 gallons per day.
n = 25
x bar = 69
s= 8.3
std error = s/sqrt n = 
H0:
Ha: 
(Left tailed test at 5% significance level)
a) Reject H0 if t
-2.492
b) Test statistic = mean difference/std error
= 
=-3.01
df =24
c) Reject H0
Check the picture below.
bearing in mind that the slope goes by different names
average rate of change
rise over run
rate of change
but is basically the same cat in disguise with different costumes.
