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Chapter 13

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Anna Nagy

Chapter 13 - Inferential statistics are used to determine whether we can, in fact, make statements that the results reflect what would happen if we were to conduct the experiment again and again with multiple samples. - The null hypothesis is simply that the population means are equal – the observed difference is due to random error. - The research hypothesis is that the population means are, in fact not equal. - DIFFERENCE: The null hypothesis states that the independent variable had no effect, the research hypothesis states that the indepedent variable did have an effect. - In the aggression modeling experiment, the null and research hypothesis are: o H0(null hypothesis): The population mean of the no-model group is equal to the population mean of the model group o H1(research hypothesis): TH epopulation mean of the no-odel group is not equal to the population mean of the model group. - Statistical significance – a significant result is one that has a very low probability of occuring if the population means are equal. - Probability is the likelihood of the occurence of some event or outcome - ESP (Extrasensort perception ability) in the case of probability o A card that is presented with different symbols. In your experiment, lets say you have 10 trails each of the five cards is presented two in randomn order. So literally your task is for you to know whether you friends answer is randomn eroor or they are indicating something more than the randomn error occuring.  Hence the research hypothesis is that number of correct answrs shows more than radomn or chance guessing. o Lets say according to the experiment, two correct answers are expected under the null hpothesis. o Lets say the participant gets three right then you can conclude its randomn guessing, because the experimenter would recognize that there is a high probablility that your participant will get 3 correct. o If there is 7 right then you can conclude it is more than randomn guessing. - The probabil
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