how to complete this task, and solution.
how do I use the risk estimate to complete the interpretation of odds ratio
Chi-Square Tests Asymptotic Significance Exact Sig. (2- Exact Sig. (1- Value df (2-sided) sided) sided) Pearson Chi-Square 1.630 202 Continuity Correction" 757 .384 Likelihood Ratio 1.673 .196 Fisher's Exact Test .248 .193 Linear-by-Linear 1.598 206 Association N of Valid Cases 51 a. 2 cells (50.0%) have expected count less than 5. The minimum expected count is 3.43. b. Computed only for a 2x2 table Risk Estimate 95% Confidence Interval Value Lower Upper Odds Ratio for Low 3.000 525 17.159 birthweight baby (Not low birthweight / Low birthweight) For cohort Maternal 1.909 .574 6.351 smoking status = Non- smoker For cohort Maternal 636 360 1.125 smoking status = Smoker N of Valid Cases 51Low birthweight baby * Maternal smoking status Crosstabulation Maternal smoking status Non-smoker Smoker Total Low birthweight baby Not low birthweight Count 24 20 44 Expected Count 22.4 21.6 44.0 % within Low birthweight 54.5% 45.5% 100.0% baby % within Maternal 92.3% 80.0% 86.3% smoking status Low birthweight Count 2 5 7 Expected Count 3.6 3.4 7.0 % within Low birthweight 28.6% 71.4% 100.0% baby % within Maternal 7.7% 20.0% 13.7% smoking status Total Count 26 25 51 Expected Count 26.0 25.0 51.0 % within Low birthweight 51.0% 49.0% 100.0% baby % within Maternal 100.0% 100.0% 100.0% smoking statusTask 8 - Chi-Square/OR Analysis (Hypothesis Test) Perform a chi-square contingency analysis on the two variables in the research question. Include in your task submission the following output: Crosstabulation table Chi-Square Tests table Risk Estimate table (Note: the clustered bar chart should have been included in the previous task) 7 Page Answer the following: 1. Have the testable assumption(s) been violated? State your reasoning for this conclusion (Maximum: 1 sentence). If a violation has occurred, what analysis would be more appropriate instead of using Pearson chi-square statistic? 2. What is the sample size for this analysis? 3. What is the value of the (Pearson) chi-square statistic for these data and is it significant (state how/why you have come to this conclusion)? What can you conclude about the association between these two variables based on this statistic? Use the Risk Estimate table to interpret the odds ratio by filling in the following pro forma included in the assignment Template file. The odds ratio for these data is [write this to 3 decimal places]. Hence, the odds of having a low birthweight baby are approximately _ [this number should be greater than or equal to 1 - you can report this with no decimal places/ times greater for [smoking status category) mothers compared to smoking status category mothers. This suggests that [summarise/contextualise what the OR means in the context of the research question] This odds ratio is/is not (choose one) significant because give your reasoning/
