Statistics Midterm Exam Solutions: Hypothesis Testing and Confidence Intervals, Exams of Statistics

Solutions to a statistics midterm exam focusing on hypothesis testing and confidence intervals. It includes calculations for test statistics, degrees of freedom, rejection regions, and confidence intervals for means and proportions.

Typology: Exams

Pre 2010

Uploaded on 03/28/2010

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Midterm Exam Solution
1.(i) 24:,24:
0
=
µ
µ
a
HH
186.1
90/32.
2496.23
/=
=
=ns
X
t
µ
, so we can not reject the null hypothesis at significance level 0.05.
987.1||
89,025.
=< tt
(ii) The 99% CI for
µ
is
)0487.24,8713.23(089.96.2390/32.*63.296.23/
89,005.
=±=±=± nstX
(iii)
))
1
1(,0(~
2
σ
n
NXX +
, an estimate of the proportion P(X < 23.76) is
2671.)6216.(
)
90/1132.
96.2376.23
()
/11
96.2376.23
()96.2376.23()76.23(
ˆ
=<=
+
<=
+
<=<=<
TP
TP
ns
TPXXPXP
2. (a)
FMaFM
HH
µ
µ
µ
µ
= :,:
0
Since we assume equal variance, we need to calculate the pooled standard error.
64.83
279145
9294.82*7802.84*144
2
)1()1(
22
21
2
2
2
1
=
+
+
=
+
+
=nn
SnSn
s
YX
p
97.1
.9968.3
64.83
0253.5657724.611
222,025.
79
1
145
111
21
=>
=
+
=
+
=
tt
s
YX
t
nn
p
So is rejected at significance level 0.05.
0
H
(b) 10:,10:
0
>
=
FMaFM
HH
µ
µ
µ
µ
34.2
.1418.3
64.83
100253.5657724.61110
222,01.
79
1
145
111
21
=>
=
+
=
+
=
tt
s
YX
t
nn
So is rejected at significance level 0.01.
0
H
pf3
pf4

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Midterm Exam Solution

1.(i) H 0 : μ = 24 , Ha : μ≠ 24

s n

X

t

| t |< t. 025 , 89 = 1. 987 , so we can not reject the null hypothesis at significance level 0.05.

(ii) The 99% CI for μ is

X ± t. 005 , 89 s / n = 23. 96 ± 2. 63 *. 32 / 90 = 23. 96 ±. 089 =( 23. 8713 , 24. 0487 )

(iii) ))

2

n

XX N + , an estimate of the proportion P(X < 23.76) is

P T

PT

s n

P X P X X PT

  1. (a) H 0 : μ (^) M = μ F , Ha : μ M ≠ μ F

Since we assume equal variance, we need to calculate the pooled standard error.

2 2

1 2

2 2

2 1 =

n n

n S n S s

X Y p

. 025 , 222

79

1 145

1 1 1 1 2

=

t t

s

X Y

t

p n n

So H 0 is rejected at significance level 0.05.

(b) H 0 : μ M − μ F = 10 , Ha : μ M − μ F > 10

. 01 , 222

79

1 145

1 1 1 1 2

=

t t

s

X Y

t

n n

So H 0 is rejected at significance level 0.01.

(c) The overall sample average is

1 2

2

1 2

1 2

n n

N

n n

nX nY

  • σ μ

The formula for 95% CI of the overall population mean is therefore

1 2

. 025 , 222 1 2

n n

t s n n

n X nY p

From the particular sample, the 95% CI of the overall population mean is

1 2

. 025 , 222 1 2

1 2

n n

t s n n

n X nY p

(d) H 0 : μ = 594 , Ha : μ > 594

Under H 0 ,

222

1 2

0 1 2

1 2

T

n n

s

n n

nX nY

p

μ

So the test statistics is

. 05 , 222

1 2

0 1 2

1 2

t t

s n n

n n

nX nY

t

p

So we cannot reject the null hypothesis at significance level 0.05.

  1. (a) The rejection region for this two sided test is
  1. 025 0 0

  2. 025 0 0

0 0

  1. 025

. 025 0 0

0

X

X np z np p

n p p z np p

n

p p p p z

z

n

p p

p p

Hence k = 9.8.

(b) The type II error is

P(|ˆ. 5 | .2| .55)

P(|X- 50 | 2 |. 55 )

(. 55 ) ( rejectH 0 givenHaistrue)

P Z P Z

P Z

p P

P p p

p p

p n

n

X-

P(|

p

β PNot