Unformatted text preview: 6. As the sample size becomtgrger, the sampling distribution of the sample mean approaches a a. binomial distribution b. PW
Q normal distribution d. chﬂqmdam 7. A sample of 400 observations will be taken from an inﬁnite population. The population
proportion equals 0.8 The probability that the sample proportion will be greater than 0.83 is a. 0.4332 P(P) (:3); ((2>‘93v( c. 0.0668 \
. 0.5668  "( I): .9), 0k
8. A random sample of 150 people was taken from a very large ptﬂl’a on. Ninety of the people" 1nP the sample were female. The standard error of the proportion is $32232 {‘5 =1 . ea :«6 =95 "*3" 0.1600 _ = b I!“ , : ~ 0“!
60.0400  6... 5 ‘ t z
I “ .r
9 A population of size 1,000 has a proportion f 0. 5. Therefore, the proportion and the .standard deviation of the sample proportion for samples of size 100 are __.. 7
r ‘ m0 1' 0 ' 0 [i a. SOOand0.047 kin/lie. 6at”): 'St'g
b. 500311160050 “ 100 #J/ [000
@05.anc10047 0..5and0050 10. A population has a mean of 300 and a standard deviation of 18. A sample of 144 observations
will be taken. The probability that the sample mean will be between 297 to 303 is a. 0.4332
b. 0.8664 1: 3 (315313223 “(9 p2» I 53—— \
(a if.
\ ...
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 Spring '08
 Priya

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