Univariate analysis for Y
Prepared by BrailleR
Basic summary measures
Counts
17 values in all, made up of
13 unique values,
17 observed, and
0 missing values.
Measures of location
Data |
all |
5% trimmed |
10% trimmed |
Mean |
10.9058824 |
10.9058824 |
10.9058824 |
Quantiles
|
Quantile |
Value |
0% |
Minimum |
8.3 |
25% |
Lower Quartile |
10.5 |
50% |
Median |
11.1 |
75% |
Upper Quartile |
11.4 |
100% |
Maximum |
12.9 |
Measures of spread
Measure |
IQR |
Standard deviation |
Variance |
Value |
0.9 |
1.3098047 |
1.7155882 |
Basic univariate graphs
Histogram
![The histogram](data:image/png;base64,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)
This is a histogram, with the title: Histogram of y
"y" is marked on the x-axis.
Tick marks for the x-axis are at: 8, 9, 10, 11, 12, and 13
There are a total of 17 elements for this variable.
Tick marks for the y-axis are at: 0, 1, 2, 3, 4, 5, 6, and 7
It has 5 bins with equal widths, starting at 8 and ending at 13 .
The mids and counts for the bins are:
mid = 8.5 count = 3
mid = 9.5 count = 0
mid = 10.5 count = 5
mid = 11.5 count = 7
mid = 12.5 count = 2
Boxplot
![The boxplot](data:image/png;base64,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)
This graph has a boxplot printed horizontally
with the title:
"" appears on the x-axis.
"" appears on the y-axis.
Tick marks for the x-axis are at: 9, 10, 11, 12, and 13
This variable has 17 values.
An outlier is marked at: 8.3 8.6 8.8 12.9 12.9
The whiskers extend to 10.5 and 12 from the ends of the box,
which are at 10.5 and 11.4
The median, 11.1 is 67 % from the left end of the box to the right end.
The right whisker is Inf times the length of the left whisker.
Assessing normality
Formal tests for normality
|
Statistic |
P Value |
Shapiro-Wilk |
0.9021 |
0.0737 |
Anderson-Darling |
0.7508 |
0.0406 |
Cramer-von Mises |
0.1307 |
0.0382 |
Lilliefors (Kolmogorov-Smirnov) |
0.2019 |
0.0640 |
Pearson chi-square |
4.8235 |
0.3059 |
Shapiro-Francia |
0.9051 |
0.0771 |
Normality plot
![The normality plot](data:image/png;base64,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)
Formal tests of moments
|
Statistic |
Z |
P Value |
D'Agostino skewness |
-0.6142 |
-1.264 |
0.2063 |
Anscombe-Glynn kurtosis |
2.8815 |
0.512 |
0.6087 |