Testing H0: μ=0 Against Ha: μ≠0 with 10 Observations

  • Thread starter Thread starter melissa5789
  • Start date Start date
  • Tags Tags
    Testing
Click For Summary
SUMMARY

The discussion centers on hypothesis testing for a quantitative variable, specifically testing H0: μ=0 against Ha: μ≠0 using 10 observations: 3, 7, 3, 3, 0, 8, 1, 12, 5, 8. The calculated P-value is 0.002, indicating strong evidence against the null hypothesis at a significance level of 0.05. The discussion also explores alternative hypotheses, with the implication that if Ha: μ>0 or Ha: μ<0 were tested, the P-value would differ and interpretations would vary accordingly. Understanding the significance of the P-value in context is crucial for accurate interpretation.

PREREQUISITES
  • Understanding of hypothesis testing
  • Familiarity with P-values and significance levels
  • Knowledge of normal distribution and its properties
  • Basic statistical terminology and concepts
NEXT STEPS
  • Learn about interpreting P-values in hypothesis testing
  • Study one-tailed vs. two-tailed tests in statistics
  • Explore the implications of significance levels in decision-making
  • Review normal distribution and its application in statistical tests
USEFUL FOR

Statisticians, data analysts, students in statistics courses, and anyone involved in quantitative research who needs to understand hypothesis testing and P-value interpretation.

melissa5789
Messages
3
Reaction score
0

Homework Statement


For a quantitative variable, you want to test H0; \mu=0, against Ha, mu not equal 0. The 10 observations are 3,7,3,3,0,8,1,12,5,8

a. I get this part
b. The P-value is 0.002. Interpret, and make a decision using a significance level of 0.05. Interpret.
c. If you had used Ha: mu>0, what would the P-value be? Intrepret.
d. If you had instead used Ha: mu<0, what wold the P-value be? Intrepret it.


Homework Equations


b.
Does intrepret mean draw it, or say it? I have the table, but the value don't go as low as 0.002. What do I do?

c&d. I'll probably understand this if I can understant part b.
Help me please. xoxoxoxox


The Attempt at a Solution

 
Physics news on Phys.org
You can draw a normal curve, and indicate what p = 0.002 for a two-sided test means on there, but you should also explain it in words. What does a probability of 0.002 mean; in other words, what has a 0.002 chance of occurring? When you perform your test, what are you assuming is true?
 

Similar threads

  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
14
Views
2K
  • · Replies 2 ·
Replies
2
Views
6K
  • · Replies 37 ·
2
Replies
37
Views
7K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 5 ·
Replies
5
Views
4K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
2
Views
4K