Respuesta :
We have the following data:
Margin of Error = E = 2.7 % = 0.027
Sample size = n = 900
Proportion of adults in favor = p = 60% = 0.6
We need to find the confidence level. For this first we need to find the z value.
The margin of error for a population proportion is given as:
[tex]E=z* \sqrt{ \frac{p(1-p)}{n} } [/tex]
Using the values, we get:
[tex]0.027=z* \sqrt{ \frac{0.6*0.4}{900} } \\ \\ 0.027=z*0.016 \\ \\ z= \frac{0.027}{0.01633} \\ \\ z=1.65 [/tex]
As, seen from the z table, z=1.65 corresponds to the confidence level 90%. So, the answer to this question is option B
Margin of Error = E = 2.7 % = 0.027
Sample size = n = 900
Proportion of adults in favor = p = 60% = 0.6
We need to find the confidence level. For this first we need to find the z value.
The margin of error for a population proportion is given as:
[tex]E=z* \sqrt{ \frac{p(1-p)}{n} } [/tex]
Using the values, we get:
[tex]0.027=z* \sqrt{ \frac{0.6*0.4}{900} } \\ \\ 0.027=z*0.016 \\ \\ z= \frac{0.027}{0.01633} \\ \\ z=1.65 [/tex]
As, seen from the z table, z=1.65 corresponds to the confidence level 90%. So, the answer to this question is option B
The equivalent level of confidence for 1.65 is 90% from the z-table
To get the required level of confidence, we will use the formula for calculating the margin of error expressed as:
[tex]E=z\cdot\sqrt{\frac{p(1-p)}{n} }[/tex]
Given the following parameters
Sample size n = 900
p is the ratio = 0.6 * 900 = 540
p = 540/900
p = 0.6
E = 2.7% = 0.027
Substitute the given parameters into the formula
[tex]0.027=z\cdot\sqrt{\frac{0.6(1-0.6)}{900} }\\0.027=z\cdot\sqrt{\frac{0.24}{900} }\\0.027 = 0.0163z\\z = \frac{0.027}{0.0163} \\z =1.65[/tex]
The equivalent level of confidence for 1.65 is 90% from the z-table
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