A survey of 1010 college seniors working towards an undergraduate degree was conducted. Each student wasasked, ʺAre you planning or not planning to pursue a graduate degree?ʺ Of the 1010 surveyed, 658 stated thatthey were planning to pursue a graduate degree. Construct and interpret a 98% confidence interval for theproportion of college seniors who are planning to pursue a graduate degree.
A)

( 0.616,0.686 )

; we are

98 \%

confident that the proportion of college seniors who are planning to pursue a graduate degree is between

0.616

and

0.686

.
B)

( 0.620,0.682 )

; we are

98 \%

confident that the proportion of college seniors who are planning to pursue a graduate degree is between

0.620

and

0.682

.
C)

( 0.621,0.680 )

; we are

98 \%

confident that the proportion of college seniors who are planning to pursue a graduate degree is between

0.621

and

0.680

.
D)

( 0.612,0.690 )

; we are

98 \%

confident that the proportion of college seniors who are planning to pursue a graduate degree is between

0.612

and

0.690

. Construct a 95% Z-interval or a 95% t-interval about the population mean. Assume the data come from a population thatis approximately normal with no outliers.

True or False? When Choosing the Sample Size for Estimating (1−α)100%, if you take p≈0.5( 1 - \alpha ) 100 \% \text {, if you take } p \approx 0.5(1−α)100%, if you take p≈0.5

True/False

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True or False? When Choosing the Sample Size for Estimating $( 1 - \alpha ) 100 \% \text {, if you take } p \approx 0.5$

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