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Inside this Book – Much of experimental science comes down to measuring differences. Does one medicine work better than another? Do cells with one version of a gene synthesize more of an enzyme than cells with another version? Does one kind of signal processing algorithm detect pulsars better than another? Is one catalyst more effective at speeding a chemical reaction than another? We use statistics to make judgments about these kinds of differences. We will always observe some difference due to luck and random variation, so statisticians talk about statistically significant differences when the difference is larger than could easily be produced by luck. So first we must learn how to make that decision.
Inside this book –Statistics Done Wrong PDF Book by Alex Reinhart – Suppose you’re testing cold medicines. Your new medicine promises to cut the duration of cold symptoms by a day. To prove this, you find 20 patients with colds, give half of them your new medicine, and give the other half a placebo. Then you track the length of their colds and find out what the average cold length was with and without the medicine. But not all colds are identical. Maybe the average cold lasts a week, but some last only a few days. Others might drag on for two weeks or more. It’s possible that the group of 10 patients who got the genuine medicine in your study all came down with really short colds. How can you prove that your medicine works, rather than just proving that some patients got lucky? Statistical hypothesis testing provides the answer. If you know the distribution of typical cold cases—roughly how many patients get short colds, long colds, and average-length colds—you can tell how likely it is that a random sample of patients will all have longer or shorter colds than average. By performing a hypothesis test (also known as a significance test), you can answer this question: “Even if my medication were completely ineffective, what are the chances my experiment would have produced the observed outcome.
Statistics Done Wrong by Alex Reinhart PDF : eBook Information
- Full Book Name – Statistics Done Wrong
- Author of this Book – Alex Reinhart
- Language – English
- Book Genre – Non-Fiction
- Download Format – PDF
- Size – 2 MB
- eBook Pages – 148
- Price – Free