Monday, December 23, 2019

Statistical Test For Your Data Analysis - 1154 Words

Data Analysis and Interpretation In selecting the appropriate statistical test for your data analysis, you need to identify the question or hypothesis for the study. Are you trying to compare groups, interested in finding out if there is a relationship between two or more variables, or are you trying to predict. Some factors to consider as well are the following: (1) Research design, (2) Level of measurement: nominal, ordinal, interval, ratio, (3) Number of groups, and if they are correlated (dependent) or independent, (4) Number of variables, and know which is the dependent and independent variable, and (5) Know when to choose a parametric versus a non-parametric test. The flowchart and the Appendix E section of the book on How to Use SPSS eighth edition of Brian Cronk (2014), was used as a guide to answer the questions below. Answer this question for the four studies below: Which statistical test you would use to analyze the data collected for these variables? Study A* Variable 1 is psychiatric patients’ gender; and Variable 2 is whether or not the patient has attempted suicide in the past 12 months. Answer Chi-square test of independence tests whether or not two variables are independent of each other (Cronk, 2014). The question here is, is there a relationship between gender and whether or not the patient has attempted suicide in the past 12 months? Does the relationship differ for males and females? The independent variable is gender and the dependent variableShow MoreRelatedStatistics Is Making Sense Of Common Data And Knowing When You Use Data Essay1611 Words   |  7 Pagesand fostered the spread of education. Statistics is making sense of common data and knowing when you use data analysis techniques, and formulas while making connections between them. Statistics enables the collection, analysis, interpretation, presentation, and organization of data. 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Define - â€Å"Statistical Hypothesis Testing† – â€Å"Inferences in Business† – and â€Å"Predictive Analysis† 3. Importance of Hypothesis Testing in Business with Examples 4. Statistical Methods to perform Hypothesis Testing in Business Intelligence 5. Identify Statistical variables required to compute Hypothesis testing. a. Correlate computing those variables from the data available in normalized tables arranged in row x columns. 6. Computing Statistical Hypothesis Testing forRead MoreThe P Value As A Measure Of The Evidence Against The Null Hypothesis1279 Words   |  6 PagesThe p-value is a measure of the strength of the evidence against the null hypothesis. The p-value is the probability of getting the observed value of the test statistic, or a value with the even greater evidence against Ho, if the null hypothesis is actually true. The smaller the p-value, the greater the evidence against the null hypothesis. If we have a given significance level, then we reject. If we do not have a given significance level, then it is not as cut-and-dried. If the P-value is lessRead MoreEssay on note1296 Words   |  6 PagesCase Analysis (Case 10.1) First read the case carefully. In this instance Cregg Hart is interested in knowing if the rivet diameter from a potential new supplier is the same as the diameter from their existing supplier. This lends itself naturally to do a confidence interval or suitable confidence level, say 95% or do a hypothesis test assuming the mean diameters from the two suppliers are the same. Next open the Excel file which you can download from CANVAS Excel files and into your computer

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