In: Statistics and Probability
in tossing a coin 1024 times we get 460 tails. is this coin fair? use a significance level equal to 5%
in tossing a coin 1024 times we get 460 tails. is this coin fair? use a significance level equal to 5%.
For a fair coin, probability of tail= head=0.5.
Therefore
Ho: P=0.5, H1: P≠0.5
One sample proportion test used
p=460/1024 =0.4492


= -3.25
Table value of z at 0.05 level = 1.96
Rejection Region: Reject Ho if z < -1.96 or z > 1.96
Calculated z = -3.25 falls in the rejection region
The null hypothesis is rejected.
There is enough evidence to conclude that the coin is not fair.
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Z Test of Hypothesis for the Proportion |
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Data |
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Null Hypothesis p = |
0.5 |
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Level of Significance |
0.05 |
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Number of Items of Interest |
460 |
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Sample Size |
1024 |
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Intermediate Calculations |
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Sample Proportion |
0.44921875 |
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Standard Error |
0.0156 |
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Z Test Statistic |
-3.2500 |
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Two-Tail Test |
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Lower Critical Value |
-1.9600 |
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Upper Critical Value |
1.9600 |
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p-Value |
0.0012 |
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Reject the null hypothesis |
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