Statistics 9ST0/02 June 2019 | Edexcel A Level Past Papers With Mark Scheme
Edexcel
A Level
Statistics (9ST0)
Jun
2019
2. Spearman’s rank correlation test application for non-parametric association between butterfly species counts, inverse relationship hypothesis, significance level comparison for test statistic
3. One-sample t-test for known population mean comparison, critical region determination, hypothesis testing with small samples, assumption of normality for inference validity
4. Hypothesis test for population proportion using binomial model approximation to normal, assessment of polling data validity, contextual interpretation of non-significant result
5. Wilcoxon rank-sum (Mann–Whitney U) test for comparing medians of non-normally distributed data, test for treatment effectiveness under independent samples, suspicion confirmation on average performance
6. Poisson distribution model validation using observed vs expected frequencies, mean estimation via weighted average, chi-squared goodness-of-fit test, interpretation of fit appropriateness for arrival data
7. Two-way ANOVA with one blocking factor (randomized complete block design), endurance time variation across energy drinks, within-subject variance control, analysis of treatment effect and blocking effectiveness based on F-ratios and SS values
معلم موافق رایگان بودن است.
1. Confidence interval for population mean using sample mean and standard deviation, t-distribution critical value for 99% level, Central Limit Theorem assumption due to large sample size2. Spearman’s rank correlation test application for non-parametric association between butterfly species counts, inverse relationship hypothesis, significance level comparison for test statistic
3. One-sample t-test for known population mean comparison, critical region determination, hypothesis testing with small samples, assumption of normality for inference validity
4. Hypothesis test for population proportion using binomial model approximation to normal, assessment of polling data validity, contextual interpretation of non-significant result
5. Wilcoxon rank-sum (Mann–Whitney U) test for comparing medians of non-normally distributed data, test for treatment effectiveness under independent samples, suspicion confirmation on average performance
6. Poisson distribution model validation using observed vs expected frequencies, mean estimation via weighted average, chi-squared goodness-of-fit test, interpretation of fit appropriateness for arrival data
7. Two-way ANOVA with one blocking factor (randomized complete block design), endurance time variation across energy drinks, within-subject variance control, analysis of treatment effect and blocking effectiveness based on F-ratios and SS values

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