DataAnalysisWithR

所属分类:数学计算
开发工具:R
文件大小:0KB
下载次数:0
上传日期:2024-02-29 18:48:01
上 传 者sh-1993
说明:  该R项目使用统计技术(如中心趋势、离散度、假设检验和正态性检验的度量)分析数据,以比较两组结果
(This R project analyzes data using statistical techniques like measures of central tendency, dispersion, hypothesis testing, and normality testing to compare two sets of results)

文件列表:
Datasets/
Histograms/
LICENSE
task1.R
task2.R
task3.R
task4.R
task5.R

# DataAnalysisWithR This project involves analyzing exam data using the R programming language. The dataset comprises the results of an exam conducted with two groups of students, each with a distinct series of scores. The analysis aims to uncover insights into the performance of students in both groups and compare their exam results. Various statistical techniques will be employed, including measures of central tendency, measures of dispersion, skewness, kurtosis, hypothesis testing, and normality testing using the Kolmogorov-Smirnov test. Additionally, grouped frequency distributions and histograms will be constructed to visualize the empirical distributions of the exam scores. # Details: An exam was conducted with 2 groups of students. The exam results are presented in the form of 2 series. **Results obtained in group 1 consisting of 35 students:** 62.5 58 11.2 88.2 69 70.8 28.9 67.4 89.7 48.7 54.2 52.7 68.1 84 40.1 93.4 2 78.1 62.4 68 74.6 97.3 68.6 88.8 80.4 18.8 100 31.7 72.3 68.8 60.5 55.5 44.5 45.7 68.4 **Results in group 2 consisting of 33 students:** 64.4 33.3 34.5 40.1 31 58.1 60 100 12 30.9 32.3 82.4 15.5 80.5 74.7 50.1 73.7 61.2 43.6 49.3 38.2 23.1 35.8 20.1 69.2 30.1 41.3 83.4 79.7 28.3 59.6 56.5 34.9 # Tasks: 1. Perform an analysis of the exam results structure in both groups by determining: measures of central tendency, measures of dispersion, skewness, and kurtosis for the detailed series. Then construct 2 grouped frequency distributions (for each group) and create histograms of the empirical distributions. Based on appropriately selected measures (which ones) and histograms, compare the exam results obtained in both groups. 2. Check if the exam results in each group follow a normal distribution using the Kolmogorov-Smirnov test, with a significance level of α=0.05. 3. Can it be stated at the significance level α=0.05 that the mean number of points obtained by students in group 1 is 55? 4. Can it be stated at the significance level α=0.05 that the standard deviation of the number of points obtained by students in group 2 is 20? 5. Did students in group 1 prepare better for the exam than students in group 2? A hypothesis should be formulated and tested at a significance level of α=0.05. # Results: 1. Comparison and Histograms:

Photo of table with results comparison HistogramGroup1 Photo HistogramGroup2 Photo

2. **Null hypothesis:** **Alternative hypothesis:**

Code Results for Task 2

**Conclusion:** 3. **Null hypothesis:** **Alternative hypothesis:**

Code Results for Task 3

**Conclusion:** 4. **Null hypothesis:** **Alternative hypothesis:**

Code Results for Task 4

**Conclusion:** 5. **Null hypothesis:** **Alternative hypothesis:**

Code Results for Task 5

**Conclusion:**

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