COMM 291 Lecture Notes - Standard Deviation, Statistical Hypothesis Testing, Sampling Distribution
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COMM 291 Full Course Notes
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99: this is a false explanation of statistical significance. 0. 05 is a probability that describes the sample mean not population mean : yes , this statement is essentially correct. Significant results have low p-values and p-values tell us the probability of making an observation due to chance alone: the null hypothesis represents that there is no effect: . ,000 in stocks over bonds lies between 44. 476% and 51. 524%. We are interested in whether the cracking rate of the ingots has decreased, hence 1-sided. For the sample of 100 ingots, there is no evidence to conclude that the mean of the population of. Ingots from which the sample is drawn is less than 25%, so we do not reject the null hypothesis. The interval describes the mean weights of the individual winners. d)(i) A type ii error happens when the mean winnings are different, but you mistakenly conclude that there is no difference.
