statchap9 - Chapter 9 - Rimmer Population parameter : mean...

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1 Chapter 9 - Rimmer Population parameter : mean μ : probability of success in a binomial trial p In Chapter 8 we estimated the values of these parameters Now we want to make decisions based on the value of a parameter, this is called hypothesis testing . Chapter 9 - Rimmer the null hypothesis is always that the population parameter is equal to some value example 1: a standard reference manual states that the weight of a healthy 3-month old colt should be on average 60 kg. Step 1: Establish a working hypothesis about the population parameter in question, this is called the null hypothesis this is often a historical value, a claim, or a specification when producing a product 0 the symbol used for the null hypothesis is . H 0 : 60 . H kg = example 2: USA Today reported that about 47% of automobile owning Americans are loyal to the automobile owner of their choice. 0 : 0.47 H p =
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2 Chapter 9 - Rimmer Step 2: Establish a hypothesis that differs from the null hypothesis, this is called the alternative hypothesis
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statchap9 - Chapter 9 - Rimmer Population parameter : mean...

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