Among people who suffer from cardiac disease, are depressed patients more likely to die than nondepressed ones?
a) The kind of design which was used to collect these data is:
- Quantitative Research Design:
b) The appropriate hypotheses is:
- People who are depressed are more likely to die from cardiac arrest than people who are not depressed.
c) Are the assumptions and conditions necessary for inference satisfied?
- No, it is not. More tests and samples need to be concluded to make sure that it is not a chance occurrence.
d) Test the hypothesis and state your conclusion,
- The hypothesis made is consistent with the statistical data but there needs to be more observation and independent variables used.
e) The best explanation of this context based on what your P-value means is:
- The measure of probability of the observed difference between the groups of people shows that there is a small chance for the results being as a result of a random chance.
f) If your conclusion is actually incorrect, the type of error which was committed is:
<h3>What is a Hypothesis?</h3>
This refers to the explanation which is given to a particular phenomena based on the trials and research done of which a conclusion has been made.
Read more about hypothesis here:
brainly.com/question/11555274
Answer:
m over 2+3 is the answer to the third question
Step-by-step explanation:
Answer:
2m
Step-by-step explanation:
Answer: x=1.32
Hope this helps!
