Question
Examine the given statement, then express the null hypothesis and alternative hypothesis in symbolic form. Do not try to test i
The mean salary of teachers of CCP is more than $40000.
a)
=40000
b)
40000
c)
>40000
d)
<40000
e)
40000
f)
40000
The null hypothesis is
[ Select ]
.
The alternative hypothesis is
The mean salary of teachers of CCP is more than $40000.
a)
=40000
b)
40000
c)
>40000
d)
<40000
e)
40000
f)
40000
The null hypothesis is
[ Select ]
.
The alternative hypothesis is
Answers
GPT-4o mini
In hypothesis testing, the null hypothesis (denoted as \( H_0 \)) usually represents a statement of no effect or no difference, while the alternative hypothesis (denoted as \( H_a \) or \( H_1 \)) represents the statement we are trying to find evidence for.
Given the statement "The mean salary of teachers of CCP is more than $40000," we can define the hypotheses as follows:
- Let \( \mu \) represent the mean salary of teachers of CCP.
The null and alternative hypotheses can be written in symbolic form as:
- Null Hypothesis (\( H_0 \)): \( \mu \leq 40000 \)
- Alternative Hypothesis (\( H_a \)): \( \mu > 40000 \)
So the compact form of your answer is:
The null hypothesis is \( H_0: \mu \leq 40000 \).
The alternative hypothesis is \( H_a: \mu > 40000 \).
Given the statement "The mean salary of teachers of CCP is more than $40000," we can define the hypotheses as follows:
- Let \( \mu \) represent the mean salary of teachers of CCP.
The null and alternative hypotheses can be written in symbolic form as:
- Null Hypothesis (\( H_0 \)): \( \mu \leq 40000 \)
- Alternative Hypothesis (\( H_a \)): \( \mu > 40000 \)
So the compact form of your answer is:
The null hypothesis is \( H_0: \mu \leq 40000 \).
The alternative hypothesis is \( H_a: \mu > 40000 \).