Edexcel S3 2015 June — Question 2 10 marks

Exam BoardEdexcel
ModuleS3 (Statistics 3)
Year2015
SessionJune
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicLinear combinations of normal random variables
TypeTwo-sample t-test (unknown variances)
DifficultyStandard +0.3 This is a standard two-sample hypothesis test with clearly stated data and a straightforward alternative hypothesis (H₁: μ₁ - μ₂ > 1.5). The large sample sizes (n=80, n=65) make the CLT application in part (b) routine. While it requires proper hypothesis formulation and test statistic calculation, it's a textbook S3 procedure with no novel insight needed—slightly easier than average due to its mechanical nature.
Spec5.05a Sample mean distribution: central limit theorem5.05c Hypothesis test: normal distribution for population mean

2. A researcher believes that the mean weight loss of those people using a slimming plan as part of a group is more than 1.5 kg a year greater than the mean weight loss of those using the plan on their own. The mean weight loss of a random sample of 80 people using the plan as part of a group is 8.7 kg with a standard deviation of 2.1 kg . The mean weight loss of a random sample of 65 people using the plan on their own is 6.6 kg with a standard deviation of 1.4 kg .
  1. Stating your hypotheses clearly, test the researcher's claim. Use a \(1 \%\) level of significance.
  2. For the test in part (a), state whether or not it is necessary to assume that the weight loss of a person using this plan has a normal distribution. Give a reason for your answer.

Question 2:
Part (a):
AnswerMarks Guidance
Answer/WorkingMark Guidance
\(H_0: \mu_g - \mu_s = 1.5\)B1 \(g\) = in a group, \(s\) = on their own. Accept \(\mu_1, \mu_2\) or \(\mu_A, \mu_B\) etc if there is indication of which is which
\(H_1: \mu_g - \mu_s > 1.5\)B1
\(\text{s.e.} = \sqrt{\frac{2.1^2}{80} + \frac{1.4^2}{65}} = \sqrt{0.08527...} = [0.292]\)M1 Attempt at s.e. with 3 out of 4 values correct. Condone switching 2.1 and 1.4
\(z = \frac{8.7 - 6.6 - 1.5}{\sqrt{\frac{2.1^2}{80} + \frac{1.4^2}{65}}}\)dM1 Dependent on 1st M1 for correct numerator (must have \(-1.5\)) and ft their s.e.
\(= 2.0546...\) awrt \(2.05(5)\)A1
cv \(1\%\) one tailed \(= 2.3263\)B1 For \(\pm 2.3263\) or better
Not significant, accept \(H_0\)dM1 Dependent on 1st M1 for correct statement based on normal cv and test statistic
Insufficient evidence that using plan as part of a group leads to weight loss of more than 1.5 kg more than using plan on one's own, or researcher's belief not supportedA1ft Must mention "plan" and "group or individual" and "1.5" or "researcher" and "belief or claim"
NB: Use of cv for difference in means \(D\) will have \(D = 1.5 + 2.3263 \times \text{s.e.} = \text{awrt } 2.18\) and requires sight of \(d = 2.1\) with a comment for the 3rd M1
Part (b):
AnswerMarks Guidance
Answer/WorkingMark Guidance
Since sample is large, Central Limit Theorem (CLT) appliesB1 For mentioning "large samples" and "CLT"
No need to assume normal distributiondB1 Dependent on 1st B1 for stating no need to assume normality (since CLT assures it)
# Question 2:

## Part (a):

| Answer/Working | Mark | Guidance |
|---|---|---|
| $H_0: \mu_g - \mu_s = 1.5$ | B1 | $g$ = in a group, $s$ = on their own. Accept $\mu_1, \mu_2$ or $\mu_A, \mu_B$ etc if there is indication of which is which |
| $H_1: \mu_g - \mu_s > 1.5$ | B1 | |
| $\text{s.e.} = \sqrt{\frac{2.1^2}{80} + \frac{1.4^2}{65}} = \sqrt{0.08527...} = [0.292]$ | M1 | Attempt at s.e. with 3 out of 4 values correct. Condone switching 2.1 and 1.4 |
| $z = \frac{8.7 - 6.6 - 1.5}{\sqrt{\frac{2.1^2}{80} + \frac{1.4^2}{65}}}$ | dM1 | Dependent on 1st M1 for correct numerator (must have $-1.5$) and ft their s.e. |
| $= 2.0546...$ awrt $2.05(5)$ | A1 | |
| cv $1\%$ one tailed $= 2.3263$ | B1 | For $\pm 2.3263$ or better |
| Not significant, accept $H_0$ | dM1 | Dependent on 1st M1 for correct statement based on normal cv and test statistic |
| Insufficient evidence that using plan as part of a group leads to weight loss of more than 1.5 kg more than using plan on one's own, or researcher's belief not supported | A1ft | Must mention "plan" and "group or individual" and "1.5" or "researcher" and "belief or claim" |

**NB:** Use of cv for difference in means $D$ will have $D = 1.5 + 2.3263 \times \text{s.e.} = \text{awrt } 2.18$ and requires sight of $d = 2.1$ with a comment for the 3rd M1

## Part (b):

| Answer/Working | Mark | Guidance |
|---|---|---|
| Since sample is large, Central Limit Theorem (CLT) applies | B1 | For mentioning "large samples" and "CLT" |
| No need to assume normal distribution | dB1 | Dependent on 1st B1 for stating no need to assume normality (since CLT assures it) |

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2. A researcher believes that the mean weight loss of those people using a slimming plan as part of a group is more than 1.5 kg a year greater than the mean weight loss of those using the plan on their own. The mean weight loss of a random sample of 80 people using the plan as part of a group is 8.7 kg with a standard deviation of 2.1 kg . The mean weight loss of a random sample of 65 people using the plan on their own is 6.6 kg with a standard deviation of 1.4 kg .
\begin{enumerate}[label=(\alph*)]
\item Stating your hypotheses clearly, test the researcher's claim. Use a $1 \%$ level of significance.
\item For the test in part (a), state whether or not it is necessary to assume that the weight loss of a person using this plan has a normal distribution. Give a reason for your answer.
\end{enumerate}

\hfill \mbox{\textit{Edexcel S3 2015 Q2 [10]}}