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It is very important to have at least two hypotheses when performing investigations

2. Forming Hypotheses. Multiple Hypotheses and the Null Hypothesis. It is very important to have at least two hypotheses when performing investigations Any potential tests of a hypothesis must measure its success compared to alternative hypotheses

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It is very important to have at least two hypotheses when performing investigations

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  1. 2. Forming Hypotheses Multiple Hypotheses and the Null Hypothesis • It is very important to have at least two hypotheses when performing investigations • Any potential tests of a hypothesis must measure its success compared to alternative hypotheses • The simplest alternative hypothesis is the “null hypothesis” • Suppose you have a hypothesis that A and B go together • Null hypothesis states that A and B have no connection – they are uncorrelated • Horoscopes predict your personality • Horoscopes have no predictive power for your personality • Aspirin diminishes headaches • Aspirin has no effect on headaches • Letters are arranged in boxes such that pairs of letters often appear near each other • Letters were arranged completely at random

  2. Falsifiability • The most important aspect of a hypothesis is that it is falsifiable • Can be conclusively demonstrated to be false Which hypothesis is best: • When you release an object at rest, it will • Move either up or down • Fall down • Fall down with a speed proportional to the time it has fallen • Fall down with a speed proportional to the time it has fallen, with the same proportionality constant for all objects • The last hypothesis is the best, as it is most specific • It is the easiest to falsify • It is rare we get examples as clean as this

  3. 3. Discarding Hypotheses When Can We Immediately Reject Hypotheses? Not all hypotheses deserve to be experimentally tested • Some are so vague that we can’t test them • They make claims about intangible quantities that can’t be measured • Or invoke claims that • Some are so poorly motivated that they aren’t worth investigating • Some are so difficult to test that it just isn’t worth it • Some hypotheses can be rejected because they contradict well-tested previous data • Other hypotheses are self-contradictory

  4. Rejecting Hypotheses Based on Old Data • We already have a wealth of data about the world around us • When a new hypothesis is proposed, we should first figure out how it disagrees with things we already know (or think we’ll know) • Often it will contradict a previously accepted theory • That’s okay • But it should explain why the previous theory worked up until now • Example, Einstein’s Special Theory of Relativity: • Rewrote all of Newton’s Laws • For example, the formula for momentum changed • But it was pointed out that for small velocities,the quantity v/c was small • So for low velocities, the formulas were almost identical • In other cases, it is found that the data underlying the existing theory is false

  5. Rejecting Self-Contradictory or Illogial Hypotheses Some hypotheses make no logical sense • For example, some horoscopes claim they can help you pick winning lottery numbers based on your birth date • But there is only one winning lottery number • It therefore makes no sense to have customized lottery numbers Rejecting Poorly Motivated and Expensive Hypotheses Some hypotheses are so poorly motivated and difficult to test that we don’t test them • Once had a person claim they could cure AIDS with their touch – no evidence given • I could not find a doctor to help me participate in a test of this hypothesis

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