MATH235

MATH235 Week 2  - Moodle Quiz-assessed problems

The first two quiz questions use the data in Table 0.8. Consider the CPI for France. Assume that the observations are an IID sample from a Normal(μ,σ2) distribution. Assume that the population variance is unknown.

Q2.1 

Confidence interval 1
The 90% confidence interval for μ is

  1. (a)

    (80.6,120.6)

  2. (b)

    (90.8,110.5)

  3. (c)

    (83.3,118.0)

  4. (d)

    (97.6,103.7)

  5. (e)

    (98.0,105.5)

[marks: 2]

Q2.2 

Hypothesis test
Using your confidence interval, is there evidence that the mean CPI for France exceeds 94? At what significance level do you draw your conclusion?

  1. (a)

    Yes, at the 5% level

  2. (b)

    Yes, at the 10% level

  3. (c)

    No, at the 2.5% level

  4. (d)

    No, at the 5% level

  5. (e)

    No, at the 10% level

[marks: 2]

The remaining quiz questions use the data in Table 0.7 to test whether or the mean height of males in the Childhood Respiratory Disease Study is greater than that of females. Assume that the data are unpaired and that they are each IID samples from Normal(μi,σ2) distributions; where μ1 is the mean male height and μ2 is the mean female height.

Q2.3 

Pooled sample variance
What is the value of the pooled sample standard deviation for these data?

  1. (a)

    5.08

  2. (b)

    5.22

  3. (c)

    27.20

  4. (d)

    25.80

  5. (e)

    4.95

[marks: 2]

Q2.4 

Difference in means
Which of the following is a 95% confidence interval for the difference in means μ1-μ2?

  1. (a)

    (-4.79,5.49)

  2. (b)

    (-24.64,25.35)

  3. (c)

    (4.44,5.14)

  4. (d)

    (-10.61,11.31)

  5. (e)

    (-26.44,27.14)

[marks: 2]

Q2.5 

Conclusion
From your confidence interval, which of the following is true?

  1. (a)

    There is evidence of a difference in mean heights between genders at the 10% level

  2. (b)

    There is evidence of a difference in mean heights between genders at the 5% level

  3. (c)

    There is evidence of a difference in mean heights between genders at the 2.5% level

  4. (d)

    There is no evidence of a difference in mean heights between genders at the 5% level

  5. (e)

    There is no evidence of a difference in mean heights between genders at the 2.5% level

[marks: 2]

Individual Age FEV log FEV Height Gender
1 8 2.382 0.868 62.0 0
2 11 2.988 1.095 70.0 1
3 10 3.111 1.135 66.0 1
4 7 1.726 0.546 53.0 0
5 9 2.076 0.730 60.5 1
6 9 2.798 1.029 62.0 1
7 9 2.056 0.721 63.0 0
8 12 2.751 1.012 63.0 0
9 9 2.352 0.855 59.0 1
10 9 3.042 1.113 66.0 0
11 10 3.350 1.209 69.0 1
12 9 2.571 0.944 60.5 1
13 11 4.324 1.464 67.5 1
14 15 2.635 0.969 64.0 0
15 7 1.611 0.477 57.5 1
16 8 1.991 0.689 59.5 1
17 10 1.873 0.628 52.5 1
18 12 3.001 1.099 63.5 0
19 9 1.895 0.639 57.0 1
20 11 3.977 1.381 70.5 1
Table 0.7: Age (years), FEV (litres), log FEV, height (cm) and gender (male-1; female-0) for a subset of 20 children in the Childhood Respiratory Disease Study.
Year France Germany United Kingdom United States
2001 92.5 94.5 94.2 90.7
2002 94.3 95.8 95.4 92.1
2003 96.2 96.8 96.7 94.2
2004 98.3 98.5 98.0 96.7
2005 100.0 100.0 100.0 100.0
2006 101.7 101.6 102.3 103.2
2007 103.2 103.9 104.7 106.2
2008 106.1 106.6 108.5 110.2
2009 106.2 107.0 110.8 109.9
2010 107.8 108.2 114.5 111.7
Table 0.8: Consumer price index (CPI) from 2001 to 2010 for four western countries. CPI has been standardised to 100 in 2005.