The mode is the number that appears most frequently in the data set, which is 4 in this case.
IQR is the difference between the 75th percentile (Q3) and the 25th percentile (Q1). Here, Q1 is 6 and Q3 is 14. So, IQR = 14 - 6 = 8.
Standard deviation is a measure of the amount of variation or dispersion in a set of values.
A p-value less than 0.05 indicates that there is strong evidence against the null hypothesis, so it is rejected.
A positive correlation means that as one variable increases, the other variable also increases.
Approximately 68% of the data falls within one standard deviation of the mean in a normal distribution.
The mean is calculated by adding all the numbers and dividing by the count: (4 + 8 + 15 + 16 + 23 + 42) / 6 = 19.
A histogram is used to show the distribution of a data set by grouping data points into ranges.
The median is the middle number when the data set is ordered: 3, 7, 9, 12, 15. The middle number is 9.
The mean is most affected by outliers because it takes into account all values, while the median and mode are less affected.
The z-score is calculated as (X - mean) / standard deviation. (60 - 50) / 5 = 2.
