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False Crop Reports
False Crop Reports

... 2. A union composed of several thousand pilots is preparing to vote on an amendment to the union contract. The collective bargaining agreement requires approval of the amendment by at least 60% of the voting members (so we are interested in a proportion). A random sample of 500 pilots yielded 320 w ...
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... data contradicts the null hypothesis: this is called significance testing. A null hypothesis is never proven by such methods, as the absence of evidence against the null hypothesis does not establish it. In other words, one may either reject, or not reject the null hypothesis; one cannot accept it. ...
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... • Data entry refers to the creation of a computer file that holds the raw data taken from all of the questionnaires deemed suitable for analysis • Data coding refers to the identification of codes that pertain to the possible responses for each question on the ...
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... find confidence interval estimates of µ when σ known when sampling from normal population when sampling from non-normal population but with large sample size,  unknown know why central limit theorem used for given confidence level and , and a desired error margin W, calculate the necessary sample ...
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BIOSTATISTICS QUIZ ANSWERS

... c. False: In repeated samples, around 95% of the 95% confidence intervals (CI) will contain the population mean. Another way to think about 95% CI is if the same study were repeated 100 times then the mean of 95 of these 100 studies would lie somewhere within the 95% CI. d. False: is approximately e ...
1. The maximum error of the estimate of a population mean in a 92
1. The maximum error of the estimate of a population mean in a 92

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Misuse of statistics

Statistics are supposed to make something easier to understand but when used in a misleading fashion can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator. When the statistical reason involved is false or misapplied, this constitutes a statistical fallacy.The false statistics trap can be quite damaging to the quest for knowledge. For example, in medical science, correcting a falsehood may take decades and cost lives.Misuses can be easy to fall into. Professional scientists, even mathematicians and professional statisticians, can be fooled by even some simple methods, even if they are careful to check everything. Scientists have been known to fool themselves with statistics due to lack of knowledge of probability theory and lack of standardization of their tests.
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