There are about 18 million households in the US that self-identify as Hispanic and have annual income below $100 000. Aaron and Sophie disagree about what fraction of this population has average family income below about $50 000. Aaron thinks about 50% of this population has average family income below about $50 000. Sophie thinks Aaron's fraction is just wrong. They agree to hypothesis test Aaron's estimate at level of significance 0.01, using the following annual income estimates from a random sample of fifteen such families: 18500,78500,41000,48500,33500,46000,14000,56000,28500,31000,21000,36000,46000,16000,36000 The sample pronortion is

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.