8:27 Done Attachment Math 121 Assessment 10 Elementary Statistics, 12th edition, Triola For each scenario below read the given null and alternative hypotheses statements as well as the initial decision about the null hypothesis. Post a conclusion about the claim in each test. (This means when you post your answer, you do not need to include any statement about the null hypothesis. Only the final conclusion is needed.) Table 8-3 Wording of the Final Conclusion Condition Conclusion Original claim does not include equality, and you reject H "There is sufficient evidence to support the - (original claim)." claim that. Original claim does not include equality, and you fail to reject H,. "There is not sufficient evidence to support the claim that - (original claim)." Original claim includes equality, and you reject H, "There is sufficient evidence to warrant rejection of the claim that ... (original claim)." Original claim includes equality, and you fail to reject H,. "There is not sufficient evidence to warrant rejection of the claim that (original claim)." 1. The paired values of the Consumer Price Index (CPI) and the cost of subway fare are listed below. Test the claim that there is a linear correlation between the CPI and subway fare? H:p = 0 Н,: ри0 Results Initial Decision - reject the null hypothesis. 2. Winning team data were collected for teams in different sports. Use a 0.05 level of significance to test the claim that home/visitor wins are independent of the sport. Basketball Baseball Hockey Football Home team wins 117 77 64 75 Visiting team wins 78 41 38 51 Ho :Home team advantage and sport are independant. H, :Home team advantage and sport are dependant. Results P- value = 0.762
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
I am really confused on this assessment that my teacher assigned. I always get confused with the wording of the final conclusion. I have included a picutre below that includes the table
- The paired values of the Consumer Price Index (CPI) and the cost of subway fare are listed below. Test the claim that there is a
linear correlation between the CPI and subway fare?
Results
Initial Decision - reject the null hypothesis.
2.
Results
P- value = 0.762
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