## [1] 92.0708
## # A tibble: 9 x 2
## class mean_score
## <dbl> <dbl>
## 1 1 92.1
## 2 2 93.8
## 3 3 96
## 4 4 95.5
## 5 5 86.8
## 6 6 86.8
## 7 7 89.7
## 8 8 93.2
## 9 9 93.9
## [1] 96
## # A tibble: 9 x 2
## class median_score
## <dbl> <dbl>
## 1 1 96
## 2 2 96
## 3 3 96
## 4 4 100
## 5 5 96
## 6 6 92
## 7 7 96
## 8 8 96
## 9 9 96
##
## The decimal point is 1 digit(s) to the right of the |
##
## 0 | 0
## 1 | 2
## 2 |
## 3 | 2
## 4 | 0448
## 5 | 6
## 6 | 0444488
## 7 | 2266
## 8 | 0000004444444444888888888888
## 9 | 22222222222222222222222222222222226666666666666666666666666666666666+9
## 10 | 00000000000000000000000000000000000000000000000000000000000000000000+10
## Warning: Duplicated aesthetics after name standardisation: size
## [1] 89.36937
## [1] 96
## [1] 94.67826
## [1] 96
##
## Call:
## lm(formula = class ~ score + gender, data = test)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.5016 -2.0037 0.0378 2.1859 4.2274
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.99949 1.23999 4.838 2.44e-06 ***
## score -0.01037 0.01284 -0.808 0.420
## gendermale -0.18958 0.35812 -0.529 0.597
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.642 on 223 degrees of freedom
## Multiple R-squared: 0.003572, Adjusted R-squared: -0.005364
## F-statistic: 0.3997 on 2 and 223 DF, p-value: 0.671
## [1] 0.8888889
## X..test.score
## nobs 226.000000
## NAs 0.000000
## Minimum 0.000000
## Maximum 100.000000
## 1. Quartile 92.000000
## 3. Quartile 100.000000
## Mean 92.070796
## Median 96.000000
## Sum 20808.000000
## SE Mean 0.929859
## LCL Mean 90.238450
## UCL Mean 93.903143
## Variance 195.408299
## Stdev 13.978852
## Skewness -3.480639
## Kurtosis 14.926007