Following is the result of chi-square analysis to evaluate the relationship between cdiff and sex. Based on the table below, what is the correct interpretation:Chi-Square TestsValuedfAsymptoticSignificanceExactExactSig. (2-Sig. (1-(2-sided)sided)sided)Pearson Chi-Square22.0881000Continuity21.440.000CorrectionbLikelihood22.090.000RatioFisher's Exact.000000TestLinear-by-22.0741.000LinearAssociationN of Valid1500Casesa. O cells (0.0%) have expected count less than 5. The minimumexpected count is 116.17.b. Computed only for a 2x2 tableBeing female causes cdiff.Sex and cdiff are not significantly related.Sex and cdiff are significantly related.The relationship cannot be evaluated.The relationship cannot be evaluated.

a. Being female cases diff. and cdiff are not significantly related. This option contradicts the…

Answered: Following is the result of chi-square…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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pare percentage differences between 2 or more categories of an independent variable), the following statistical test should be used: a. Simple linear regression b. Pearson correlation coefficient c. T test d. Chi-square test
Which of the following figures is irrelevant in a chi square analysis? O Sample mean Degrees of freedom O Sample size O Number of variable categories
Answer the chi-square questions using the data below. Use an ? of 0.10? B A 1 2 3 4 1 20 29 11 19 2 9 18 24 21 a) What is the appropriate test statistic? ---Select--- na z-test One-Sample t-test Independent-Samples t-test Related-Samples t-test One-Way ANOVA Within-Subjects ANOVA Two-Way ANOVA Correlation Slope Chi-Square GoF Chi-Square IndependenceCompute the statistic selected in a): b) Obtain/compute the appropriate values to make a decision about H0.Critical Value = ; Test Statistic = Decision: ---Select--- Reject H0 Fail to reject H0c) Compute the corresponding effect size(s) and indicate magnitude(s).If not appropriate, input and/or select "na" below.Effect Size = ; Magnitude: ---Select--- na trivial effect small effect medium effect large effect
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Repeated baseline measurements help improve the ____ of a single-subject study. A.Ecological validity B. Generalizability C. Internal validity D. Sample's representativeness
please provide accurate answer
Choose the appropriate statistical test. When computing, be sure to round each answer as indicated. A dentist wonders if depression affects ratings of tooth pain. In the general population, using a scale of 1-10 with higher values indicating more pain, the average pain rating for patients with toothaches is 6.8. A sample of 30 patients that show high levels of depression have an average pain rating of 7.1 (variance 0.8). What should the dentist determine? 1. Calculate the estimated standard error. (round to 3 decimals). [st.error] 2. What is thet-obtained? (round to 3 decimals). 3. What is the t-cv? (exact value) 4. What is your conclusion? Only type "Reject" or Retain"
Researchers sampled fish from a lake and measured the lengths (mm) of all individuals of two species, bream and perch. They were interested in testing whether there was a difference in the mean lengths of the two species in the lake. Based on the output below, what would be the correct conclusion to draw? Mean n Std deviation Std error of mean Bream 531.00 6 309.60 126.39 Perch 154.82 11 78.76 23.75 options: Bream are significantly larger on average than perch in this lake. There is no significant difference in average sizes of the two species of fish from this lake. The variances are different so it is not possible to do a statistical test comparing means. Perch are significantly larger on average than bream in this lake.
Complete the table. Observed Expected Frequency Frequency Residual Squared Category A 25 21 36 20 What is the chi-square test-statistic for this data? B
Refer to the below table. Using an alpha = 0.05, test the claim that IQ scores are the same for children in three different blood lead level groups: low lead level, medium lead level, and high lead level). One-Way Analysis of Variance Summary Table for IQ Measurements for Children among Three Blood Lead Level Groups: Low Lead Level, Medium Lead Level, and High Lead Level. Source df SS MS F p Between-group (treatment) 2 469.1827 2677.864 2.30 0.104 Within-group (error) 118 203.6918 11745.05 Total 120

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