Add second year

second/semester1/ST2001/Assignments/Example Report Template.Rmd

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+---
+title: "Assignment 2"
+author: "Andrew Hayes, id = 21321503"
+date: "`r format(Sys.time(), '%d %B, %Y')`"
+output:
+  word_document: default
+  pdf_document: default
+---
+
+## Starting with R-Markdown
+
+In the following R-Markdown document some data are created followed by calculation of some summary statistics and display of graphical summaries. All the results are embedded for you in the report when you `knit` the document into a report.
+
+The following `R` chunk creates a dataset in a vector and stores it in `R`'s memory using the name `x`. You will have been given some directions in how to adapt this dataset on Blackboard.
+
+```{r}
+
+x = c(10, 23, 14, 12, 34, 26, 28, 24)
+
+```
+
+The mean of this data is
+
+```{r}
+
+mean(x)
+
+```
+
+The summary statistics (minimum, maximum, $Q_1$, median, mean and $Q_3$) obtained from the `summary()` function are:
+
+```{r}
+# Insert your code here
+summary(x)
+
+
+
+```
+
+The five number summary which uses Tukey's method to estimate the lower and upper quartiles ($Q_1$ and $Q_3$) is given below. Notice the small differences in these quartiles.
+
+```{r}
+# Insert your code here
+fivenum(x)
+
+
+
+```
+
+The boxplot of the data below also uses Tukey's method. I would describe the shape of the distribution using the boxplot as right-skewed, as the tail on the right is significantly longer than the tail on the left. However, the median is offset to the right of the box, which would normally indicate a left-skew. One possible reason for this inconsistency is the small size of the dataset used for this boxplot, as boxplots are not very accurate for small data sets.
+
+```{r}
+
+boxplot(x)
+
+```
+
+A histogram is given below. I would describe the shape of the distribution using the histogram as right-skewed, as it peaks on the left, and decreases as it goes to the right.
+```{r}
+hist(x)
+```
+
+
+
+
+
+
+
+
+
+Use the help system in `R` to learn how to use the `breaks` argument in the `hist` function to include around 10 breakpoints. To use the help system type `help(hist)`
+```{r}
+hist(x, breaks = 10)
+```
+
+
+
+