Confidence Interval Critical Value Error
In a survey of 550 young adults, the sample proportion was . When constructing a 99% confidence interval for the population proportion, a researcher used a critical value of instead of the correct value, . Which of the following describes the error made?
A
She misinterpreted the confidence level as exceeding 99%.
B
She incorrectly calculated the standard error instead of the critical value.
C
She confused the sample size with the margin of error.
D
She should have used the -distribution since the population standard deviation is unknown.
E
She used the incorrect critical z-value for a 99% confidence level.
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