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Lets say you have 5 trials, and 5 output let's say {5, 43, 60, 30 , 4}...so how would u get the chi sqaure from here & the confidence interval. i haven't work on prob &statc in years, thanks a lot for help folks
A chi square test is a statistical test used to determine if there is a significant association between two categorical variables. In IMP, it is commonly used to compare observed and expected frequencies of a particular trait or variable in a population, allowing researchers to make inferences about the relationship between the variables.
The confidence interval in IMP is calculated using a formula that takes into account the sample size, mean, and standard deviation of a given data set. This interval provides a range of values within which the true population parameter is likely to fall with a certain level of confidence, usually 95% or 99%.
The chi square test and confidence interval are most commonly used for categorical data, such as yes/no responses or multiple categories. However, they can also be used for continuous data if the data can be grouped into categories or if certain assumptions are met.
The significance level in IMP is the level at which the results of a statistical test are deemed to be significant or not. It is typically set at 0.05 or 0.01, indicating a 5% or 1% chance of obtaining the results by chance. This level is determined by the researcher and should be chosen based on the specific research question and context.
The results of the chi square test and confidence interval in IMP can be interpreted by comparing the p-value to the significance level. If the p-value is less than the significance level, the results are considered significant and there is evidence of a relationship between the variables. If the p-value is greater than the significance level, the results are not considered significant and there is not enough evidence to conclude a relationship between the variables.