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Mark Scheme Patterns — Inference Using Normal and t-Distributions

标准给分结构

Single-Sample t-Test(6-7 marks)

StepMarksTypical wording
H0H_0 / H1H_1 correctly statedB1"H0:μ=16H_0: \mu = 16, H_1: \mu < 16"
Correct test statistic formulaM1"Use of t=(xˉμ)/s2/nt = (\bar{x} - \mu)/\sqrt{s^2/n}"
Correct t value (numerical)A1"t=2.771t = -2.771"
Correct critical value / p-valueB1"t0.05(9)=1.833t_{0.05}(9) = 1.833"
Valid comparisonM1"Compare $
Correct conclusion in contextA1"Reject H0H_0 — sufficient evidence..."

Two-Sample Pooled t-Test(8-9 marks)

StepMarksTypical wording
H0H_0 / H1H_1 correctly statedB1"H0:μ1=μ2H_0: \mu_1 = \mu_2"
sp2s_p^2 correctly calculatedM1"Pooled variance formula used"
sp2s_p^2 numerical value correctA1"sp2=7.10s_p^2 = 7.10"
t statistic (formula + calc)M1"Substitution into t formula"
t value correctA1"t=2.630t = 2.630"
df statedB1"df = 20"
Critical valueB1"t0.025(20)=2.086t_{0.025}(20) = 2.086"
Comparison + conclusionM1 A1"Since t > t_{\text{crit}}, reject H0H_0"

Paired t-Test(7-8 marks)

StepMarksTypical wording
Differences did_i calculatedB1"d=[5,2,7,]d = [5, 2, 7, \dots]"
dˉ\bar{d} and sd2s_d^2M1 A1"dˉ=4.25\bar{d} = 4.25, sd2=4.50s_d^2 = 4.50"
t statistic formula + valueM1 A1"t=5.667t = 5.667"
df + critical valueB1"t0.05(7)=1.895t_{0.05}(7) = 1.895"
Comparison + conclusionM1 A1"Reject H0H_0 — mean has increased"

Confidence Interval(4-6 marks)

StepMarksTypical wording
Correct formula identifiedB1"xˉ±ts2/n\bar{x} \pm t \cdot \sqrt{s^2/n}"
Standard error correctly computedM1 A1"SE =9.0/15=0.775= \sqrt{9.0/15} = 0.775"
Correct tt or zz value from tablesB1"t0.025(14)=2.145t_{0.025}(14) = 2.145"
Interval endpoints (3 s.f.)A1"CI: (40.3,43.7)(40.3, 43.7)"

常见扣分点

MistakeConsequence
Wrong degrees of freedomLose B1 (usually method still marked)
Using zz instead of ttLose M1 for wrong formula
Confusing one-tail / two-tail critical valueLose B1
Not stating normality assumptionLose B1 (when explicitly required)
Arithmetic error in sp2s_p^2Lose A1 (but can still get M1)
Wrong conclusion despite correct calculationLose A1

常见 MS 标记模式

  • "Use of t=(xˉμ)/s2/nt = (\bar{x} - \mu)/\sqrt{s^2/n}"M1 (method mark)
  • "Correct substitution"M1 if formula applied correctly
  • "t=...t = ..."A1 (accuracy mark, follows a M1)
  • "Critical value t0.05(11)=1.796t_{0.05}(11) = 1.796"B1 (independent mark)
  • "|t| > t_{\text{crit}} \Rightarrow reject H0H_0"M1 for comparison, A1 for conclusion
  • "Assumption: normally distributed"B1
  • "3 s.f." → final A1 requires correct rounding

不同 paper 的分数分布参考

PaperQTypeMarks
S20 Q44Paired t-test + One-sample t9
S20 Q55CI (difference of means)7
W20 Q11One-sample t-test6
W20 Q44Paired t-test8
S21 Q11z-test6
S21 Q44Two-sample pooled t + CI9
W21 Q11One-sample t-test6
W21 Q44Two-sample pooled t8
S22 Q11One-sample t-test6
S22 Q55Two-sample z-test7
W22 Q11One-sample t-test6
W22 Q66CI (difference)8
S23 Q11One-sample t-test6
S23 Q22CI + two-sample test9
W23 Q11Paired t-test7
W23 Q33Pooled t + CI10
S24 Q11One-sample t-test6
S24 Q66Two-sample + CI9
W24 Q66CI + hypothesis test8
S25 Q11Paired t-test7
S25 Q44CI (two-sample)7
W25 Q11One-sample t-test6
W25 Q33CI + pooled t9
W25 Q66Two-sample z-test7