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Statistics Cheat Sheets

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G036 * Yes because the p-value is less than 0.05 or No, because the p-value is greater than 0.05 * The coefficient of variation is the standard deviation of a data set, divided by the mean of the same data set. * Z score = x -ms * The Independent part is what you, the experimenter, changes or enacts in order to do your experiment. The dependent variable is what changes when the independent variable changes - the dependent variable depends on the outcome of the independent variable. * P=000=P<0.001 * Repeated measure = A repeated measures design is a longitudinal study, usually a controlled experiment but sometimes an observational study * We can be 95% confident that on average shoppers at CyberChic …show more content…

Binomial Test. A study was conducted to explore whether Kayden Real Estate rent more than 35% of their rental properties to families. In a random sample of 70 rental properties, only 24% were rented to families. This is less than the target set by the government authority (35%) and a Binomial test shows that the difference is significant, n = 70, p = 0.037. The 95% confidence interval indicates that between 14% and 34% of Kayden rental properties are rented to families Contrary to the claims made by Kayden, less than 35% of their properties are rented to families. According to a web advertising company, the impact of pop up ads depends on age. A random sample of 60 web surfers are asked if they remember a specific internet ad. The age of each respondent is recorded as ‘teenager’, ‘young adult’ or ‘over 30’. What analysis would you use to test the hypothesis that teenagers are more likely to remember the pop up ad than young adults or people over 30? Test: Chi-squared test Jane, who works for Universal Bank, wants to know which credit card to recommend to her customers. She believes that VIZER credit card customers probably get more bonus points than customers of AustralianExpress credit cards. She records the number of bonus points awarded to a random sample of customers of each card. What analysis would you use to test the

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