1 Hypothesis Testing Population Proportion (  ).

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Presentation transcript:

1 Hypothesis Testing Population Proportion (  )

2 Notation p = population proportion of hits or successes, used in the null hypothesis. q = 1 – p = population proportion of misses or failures  n = sample size p = x/n = sample proportion of hits

3 p - p pq n z =  Test Statistic for Testing a Claim about a Population Proportion, p

4 Find the P-value of the Z score. Reject the null hypothesis if the P-value is less than or equal to the significance level  (Reject Ho if P-value <  ) Fail to reject the null hypothesis if the P-value is greater than 

5 (determining the sample proportion of households with cable TV) p sometimes is given directly “10% of the observed sports cars are red” is expressed as p = 0.10 p sometimes must be calculated “96 surveyed households have cable TV and 54 do not” is calculated using p = = = 0.64 x n 96 (96+54)    

6 CAUTION  When the calculation of p results in a decimal with many places, store the number on your calculator and use all the decimals when evaluating the z test statistic.  Large errors can result from rounding p too much.  

7 For math fans: Prove p - p pq n z =  z = = = = x - µ x - np n n p - p x np  npq pq n n 