Can somone help with this assignment: Research Question: Does the number of prev
ID: 3332289 • Letter: C
Question
Can somone help with this assignment:
Research Question:
Does the number of previous premature labors (continuous - ratio) (response) relate to having presence of uterine irritability (categorical- dichotomous) (explanatory)?
1. State The parameter of interest:
2. State the hypotheses:
3. Test statistic & P-value:
(do a t-test)
4. Decide whether to reject or not reject the null hypothesis
5. Clearly state a conclusion in the context of the problem
Here is the Data: (number of previous prmature labors: 0-3) (Presence of uterine irritability: 0=NO, 1=YES)
0
Number previous premature labors 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 2 1 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 1 0 0 0 2 0 0 0 0 0 1 0 0 2 0 0 1 0 1 0 1 0 0 0 1 0 0 1 1 1 0 1 0 0 0 0 0 0 1 0 0 1 0 1 0 0 1 0 0 0 00
Presence uterine irritability 1 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 1 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0Explanation / Answer
Chi-Square Goodness-of-Fit Test for Categorical Variable: Number previous prema
Test Contribution
Category Observed Proportion Expected to Chi-Sq
0 320 0.25 94.5 538.098
1 52 0.25 94.5 19.114
2 5 0.25 94.5 84.765
3 1 0.25 94.5 92.511
N N* DF Chi-Sq P-Value
378 1 3 734.487 0.000
Define the parameter of interest:The proportion associated with each category you want to test.
2. State the hypotheses
· H0 : Data follow a multinomial distribution with certain proportions
· H1 : Data do not follow a multinomial distribution with certain proportions
3. Determine the test statistic and p-value considering any necessary assumptions
From above output: P-value-0.0000
4. Decide whether to reject or not reject the null hypothesis
P-value < 0.05 we reject the null hypothesis. you can conclude that there is enough evidence exists to reject the null hypothesis.
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