In: Statistics and Probability
8) A psychological experiment finds that all paranoid schitzophrenics have eye contact
times in the bottom 10 percent. Find the cutoff score for them if the average eye
contact time is 200 seconds and the standard deviation is 35 seconds.
a) 20 b) 39 c) 69.8 d) 155 e) 200
9) If the chance of getting a broken cookie is .05, what is the probability of getting two
or more broken cookies in a bag of 40 cookies? Use correction for continuity.
a) .74 b) .358 c) .64 d) .09 e) .19
10) The mean blood glucose level in adults is 85 with a standard deviation of 25. What is
the probability of finding a three reading average greater than 100?
a) .1493 b) .274 c) .0228 d) .04 e) .360
11) The National Center for Educational Statistics surveyed 5400 college graduates about
the lengths of time required to earn their bachelors degrees. The mean is 5.4 years and
the standard deviation is 1.9 years. Based on this sample, construct a 90% confidence
interval for the mean time required by all college graduates
a) 4.09-4.22 b) 5.36 - 5.44 c) 5.74-5.96 d) 4.37-6.06
12) Given that the average shower time at a hotel is 11.4 minutes with a standard deviation
of 7 minutes, what is the probability that a group of 20 guests will shower on average
between 11.5 and 11.6 minutes?
a) .10 b) .42 c) .1253 d) .20 e) .0253
8)
µ= 200
σ = 35
proportion= 0.1
Z value at 0.1 =
-1.28 (excel formula =NORMSINV(
0.1 ) )
z=(x-µ)/σ
so, X=zσ+µ= -1.28 *
35 + 200
X = 155.
9)
Sample size , n = 40
Probability of an event of interest, p =
0.05
right tailed
X ≥ 2
Mean = np = 2
std dev ,σ=√np(1-p)= 1.3784
P(X ≥ 2 ) = P(Xnormal ≥
1.5 )
Z=(Xnormal - µ ) / σ = ( 1.5 -
2 ) / 1.3784 =
-0.363
=P(Z ≥ -0.363 ) =
0.64
10)
µ = 85
σ = 25
P ( X ≥ 100.00 ) = P( (X-µ)/σ ≥ (100-85) /
25)
= P(Z ≥ 0.600 ) = P( Z
< -0.600 ) =
0.274
11)
Level of Significance , α =
0.1
degree of freedom= DF=n-1= 5399
't value=' tα/2= 1.6451 [Excel
formula =t.inv(α/2,df) ]
Standard Error , SE = s/√n = 1.9000 /
√ 5400 = 0.025856
margin of error , E=t*SE = 1.6451
* 0.02586 = 0.042536
confidence interval is
Interval Lower Limit = x̅ - E = 5.40
- 0.042536 = 5.357464
Interval Upper Limit = x̅ + E = 5.40
- 0.042536 = 5.442536
90% confidence interval is (
5.36 < µ < 5.44
)
12)
µ = 11.4
σ = 7
n= 20
we need to calculate probability for ,
11.5 ≤ X ≤ 11.6
X1 = 11.5 , X2 =
11.6
Z1 = (X1 - µ )/(σ/√n) = ( 11.5
- 11.4 ) / ( 7 /
√ 20 ) = 0.06
Z2 = (X2 - µ )/(σ/√n) = ( 11.6
- 11.4 ) / ( 7 /
√ 20 ) = 0.13
P ( 11.5 < X <
11.6 ) = P ( 0.1
< Z < 0.1 )
= P ( Z < 0.13 ) - P ( Z
< 0.06 ) =
0.55084 - 0.52547 =
0.0253
Thanks in advance!
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