Pascal Co. is considering replacing one of its software with a new software. Before a final decision is made, Pascal Co. has taken a sample of four hundred customers. After surveying the customers, 250 recommended that they would purchase the new software. Estimate the value of the population proportion. Develop a 99 percent confidence interval for the population proportion. Interpret your findings.
Because you want a 99% confidence interval, your z-value is 2.576.
From a sample of 400 customers were found 250 customers would purchase the new software. So
"\\hat{p} = \\frac{250}{400} =0.625"
The formula for a confidence interval for a population proportion is
"\\hat{p}\u00b1z \\times \\sqrt{\\frac{\\hat{p}(1- \\hat{p})}{n}}"
Find
"\\hat{p}\\frac{1 - \\hat{p}}{n} = 0.625 \\frac{1-0.625}{400} = 0.0005859"
Take the square root to get 0.0242
Multiply your answer by z.
This step gives you the margin of error.
"2.576 \\times 0.0242 = 0.0623"
Confidence interval:
0.625±0.0623
The interval = ((0.625-0.0623),(0.625+0.0623)) = (0.5627, 0.6873)
So, from 225 to 275 customers would purchase the new software.
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