STAT217 Midterm practice solutions

 

Question 1

a)      Ho: m £ 1000

Ha: m > 1000

Reject Ho if Z > 1.645

Z = (1120 – 1000)/(250/sqrt(14)) = 1.8

Reject Ho. Conclude the modifications significantly increased the distance traveled.

b)     P-value = P(Z > 1.8) = 0.5 – 0.4641 = 0.0359 = 3.59%. Since we rejected Ho, we would not reject Ho if the level of significance is no greater than the p-value. Thus, we would not reject Ho for levels of significance between 1% and 3.59%.

c)      Reject Ho if (xbar – 1000)/(250/sqrt(14)) > 1.645

Reject Ho if xbar > 1000 + 1.645(250)/sqrt(14)

Reject Ho if xbar > 1,109.9112

Power = P(xbar > 1,109.9112 | m = 1120)

Power = P(Z > (1,109.9112 – 1120)/(250/sqrt(14))

Power = P(Z > -0.15) = 0.5 + 0.0596 = 0.5596 = 55.96%

 

Question 2

a)      Ho: p ³ 2%

Ha: p < 2%

Reject Ho if Z < -2.326

Z = (0.012 – 0.02)/sqrt(0.02(0.98)/500) = -1.2778

Do not reject Ho. Conclude the percentage of companies exceeding water pollution limits is not significantly less than 2%.

b)     Reject Ho if phat < 0.02 - 1.645sqrt(0.02(0.98)/500) or phat < 0.0097

Power = P(phat < 0.0097 | p = 0.012)
= P(Z < (0.0097-0.012)/sqrt(0.012(0.988)/500))
= P(Z < -0.47) = 0.5 – 0.1808 = 0.3192 = 31.92%

 

Question 3

a)      Choose downtown as group 1 since it has the larger mean.

Ho: m1 = m2

Ha: m1 ¹ m2

df = (153.98082/12 + 29.83392/12)2/((153.98082/12)/11 + (29.83392/12)/11) = 11.8 which we round to 11. Reject Ho if t < -2.201 or > 2.201

t = (503.0833 – 476.3333)/sqrt(153.98082/12 + 29.83392/12) = 0.5908

Do not reject Ho. Conclude there is no significant difference in average daily rates between downtown and suburban hotels.

b)     Under the general rule of thumb, since the p-value is greater than 10%, we do not reject Ho.

c)      Lower limit = (503.0833 – 476.3333) – 2.201sqrt(153.98082/12 + 29.83392/12)

= 26.75 – 99.66 = -72.91

Upper limit = 26.75 + 99.66 = 126.41

-72.91 < m1 - m2 < 126.41

Since the hypothesis difference of zero falls inside the 95% confidence interval, we do not reject Ho at a 5% level of significance.

 

Question 4

We choose system B as group 1 in order to set up a right tail test.

Ho: d £ 0

Ha: d > 0

First we compute the differences:

Person

1

2

3

4

5

6

7

8

9

10

System A

5

7

7

4

6

7

7

7

7

6

System B

8

7

6

7

6

8

9

8

8

8

d = B-A

3

0

-1

3

0

1

2

1

1

2

Since there are two differences of zero, n = 8. Reject Ho if T- £ 6

We rank the absolute values of the differences from lowest to highest:

Observation

1

2

3

4

5

6

7

8

|d|

1

1

1

1

2

2

3

3

Sign

-

+

+

+

+

+

+

+

Rank

2.5

2.5

2.5

2.5

5.5

5.5

7.5

7.5

T- = 2.5. Reject Ho. Conclude that system B is rated significantly better than system A.

 

Question 5

a)      Ho: m ³ 45

Ha: m < 45

Reject Ho if t < -1.895

t = (40.1343 – 45)/(5.8271/sqrt(7)) = -2.2093

Reject Ho. Conclude that the average weekly income of a panhandler is significantly less than $45.

b)     Since we do not reject Ho if the p-value is at least as large as the level of significance, we would not reject Ho for levels of significance between 1% and 3.46%.

 

Question 6

a)      Choose region 1 as group 1.

Ho: m1 £ m2

Ha: m1 > m2

Z = (67.5 – 64.4)/sqrt(7.82/100 + 8.22/100) = 2.74

P-value = P(Z > 2.74) = 0.5 – 0.4969 = 0.0031 = 0.31%

Since the p-value < 1%, reject Ho. Conclude that the average score for region 1 is significantly higher than that of region 2.

b)     Lower limit = (67.5 – 64.4) – 1.96 sqrt(7.82/100 + 8.22/100) = 3.1 – 2.2 = 0.9

Upper limit = 3.1 + 2.2 = 5.3

0.9 < m1 - m2 < 5.3

 

Question 7

a)      Have d = operator 1 – operator 2. Then the differences are:

Day

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Operator 1

108

115

118

116

110

115

Operator 2

106

118

116

115

114

112

difference

2

-3

2

1

-4

3

Ho: md = 0

Ha: md ¹ 0

Reject Ho if t < -2.571 or > 2.571

t = (0.1667 – 0)/(2.9269/sqrt(6)) = 0.1395

Do not reject Ho. Conclude there is no significant difference in average production between the two operators.

b)     Lower limit = 0.1667 – 2.571(2.9269)/sqrt(6) = 0.1667 – 3.0721 = -2.9

Upper limit = 0.1667 + 3.0721 = 3.2

-2.9 < md < 3.2. Since md = 0 falls inside the 95% confidence interval, we do not reject Ho at a 5% level of significance.

 

Question 8

a)      Choose the 25 and under group as group 1.

Ho: p1 – p2 £ 10%

Ha: p1 – p2 > 10%

Reject Ho if Z > 1.645.

Z = [(0.75 – 0.6) – 0.1]/sqrt(0.75(0.25)/1200 + 0.6(0.4)/1500) = 2.81

Reject Ho. Conclude that the difference between the two age groups in the percentage that use MP3s on a regular basis is significantly more than 10%.

b)     P-value = P(Z > 2.81) = 0.5 – 0.4975 = 0.0025 = 0.25%. Since the p-value is less than 1%, we reject Ho.

 

Question 9

a)      Ho: s ³ 1300

Ha: s < 1300

Reject Ho if C2 < 3.0535

C2 = 11(1161.894)2/13002 = 8.787

Do not reject Ho. Conclude there is not significantly less variability in daily sales.

b)     Lower limit for s2 = 11(1161.894)2/26.7568 = 554,998.144

Upper limit for s2 = 11(1161.894)2/2.6032 = 5,704,507.66

Lower limit for s = sqrt(554,998.144) = 744.98

Upper limit for s = sqrt(5,704,507.66) = 2,388.41

With 99% confidence, the standard deviation for daily sales ranges between $744.98 and $2,388.41.

 

Question 10

a)      We choose magazine A as group 1.

Ho: m1 £ m2

Ha: m1 > m2

d.f. = 7 + 5 – 2 = 10. Reject Ho if t > 1.812

sp2 = [6(3.98812) + 4(6.54222)]/10 = 26.6629

t = (19.2857 – 12.6)/sqrt(22.6629/7 + 22.6629/5) = 2.2113

Reject Ho. Conclude magazine A has significantly more ads on average than magazine B.

b)     In order to reject Ho, the p-value must be less than the level of significance. Thus, we should choose the level of significance between 2.57% and 10%.

c)      Lower limit = (19.2857 – 12.6) – 2.228 sqrt(22.6629/7 + 22.6629/5) = 6.6857 – 6.7364 = -0.1

Upper limit = 6.6857 + 6.7364 = 13.4

-0.1 < m1 - m2 < 13.4

 

Question 11

We choose the richer neighbourhood as group 1 since both sample sizes are equal and we want to see if the richer neighbourhood is greater than the poorer neighbourhood.

Ho: median 1 £ median 2

Ha: median 1 > median 2

Reject Ho if T1 ³ 50

Here is the ranking of the data:

Observation

1

2

3

4

5

6

7

8

9

10

11

12

Value

4

5

5

5

8

9

9

17

18

18

18

19

Group

P

R

P

P

P

P

P

R

R

R

R

R

Rank

1

3

3

3

5

6.5

6.5

8

10

10

10

12

T1 = 3 + 8 + 10 + 10 + 10 + 12 = 63

Reject Ho. Conclude that people in the richer neighbourhood eat out more often on average than those in the poorer neighbourhood.