Sample size is n = 825
Sample Proportion is equal to the number of households that use e-mail divided by the total number of households in the sample.
p(hat) = 0.193
How in the internets does one derive 0.193 from dividing 0.15 by the 825 (total in sample)
Have I been doing homework \too\ long or is my brain just failing on me.
Thanks in advance if anyone can help with this statistics homework.
Sample Proportion is equal to the number of households that use e-mail divided by the total number of households in the sample.
p(hat) = 0.193
How in the internets does one derive 0.193 from dividing 0.15 by the 825 (total in sample)
Have I been doing homework \too\ long or is my brain just failing on me.
Thanks in advance if anyone can help with this statistics homework.
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Qwerty -
If p(hat) = 0.193 and the sample size is 825, that simply means 825(.193) = 159 is the number of households from the sample that use e-mail.
The population proportion is 0.15.
A common question is does the sample differ significantly from the population? That is:
Ho: mean = 0.15
Ha: mean does not equal 0.15
If you do this with a 1-proportion z-test:
z-statistic = 3.437
p = 0.0006
So, yes the sample is significantly different, so REJECT the null hypothesis.
Hope that helps
If p(hat) = 0.193 and the sample size is 825, that simply means 825(.193) = 159 is the number of households from the sample that use e-mail.
The population proportion is 0.15.
A common question is does the sample differ significantly from the population? That is:
Ho: mean = 0.15
Ha: mean does not equal 0.15
If you do this with a 1-proportion z-test:
z-statistic = 3.437
p = 0.0006
So, yes the sample is significantly different, so REJECT the null hypothesis.
Hope that helps