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Specified as H0 = some numeric value (or ≤, ≥) The third bullet is the key one to remember when setting up your null hypothesis. The equality sign is always in the null hypothesis as it is what your belief is and what you want to test. Along with the null hypothesis, every hypothesis test also has an alternative hypothesis, denoted Ha If H0 turns out to be false, then one accepts the alternative hypothesis is true. The alternative hypothesis is defined as follows: • It is the opposite of the null hypothesis.

It is hard to say without putting numbers behind the statements. For instance, my definition of strongly might be greater than my friends definition of very strongly. The most commonly used measurement of uncertainty is probability. Thus, a definition for probability is that it is a measure of uncertainty. Put another way, probability is the likelihood that something will happen. Probability is usually expressed in percentage format. Your weatherman might tell you that there is a 65% chance of rain, which means you should probably pack your umbrella.

The null hypothesis is a statement about the population parameter being equal to some value. For example, if you believe that the average weight loss for a population of dieters is equal to 2 lbs in one week, you have Ho:µ=2. The null hypothesis is defined as follows: • The null hypothesis is what is being tested. • Designated as H0 (pronounced h-nought). • Specified as H0 = some numeric value (or ≤, ≥) The third bullet is the key one to remember when setting up your null hypothesis. The equality sign is always in the null hypothesis as it is what your belief is and what you want to test.

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