T-Test 1:
Reject the Ho, p-value < 0.01, there is a difference in means,
where employees who left had more average monthly hours
Employees that left worked more hours
plot_ly(hr ,
x = ~left ,
y = ~average_montly_hours ,
color = ~left,
colors = c('#7cb16a' , 'red') ,
boxmean = T ,
type = 'box') %>%
layout(title = 'Employees that left worked more hours' ,
xaxis = list(title = 'Employee Status') ,
yaxis = list(title = 'Monthly Hours') ,
showlegend = F)
T-Test 2:
Reject the Ho, p-value < 0.01, there is a means, where employees
who left had lower satsifaction levels
Employees that left had a lower satisfaction level
plot_ly(hr,
x = ~left,
y = ~satisfaction_level,
color = ~left,
colors = c('#7cb16a', 'red'),
boxmean = T,
type = 'box') %>%
layout(title = 'Employees that left had a lower satisfaction level',
xaxis = list(title = 'Employee Status'),
yaxis = list(title = 'Satisfaction Level'),
showlegend = F)
T-Test 3:
Accept the Ho, p-value > 0.01, there is a means, where employees
who left had higher evaluation score
Employees that left had a higher evaluation scores
plot_ly(hr,
x = ~left,
y= ~last_evaluation,
color = ~left,
colors = c('#7cb16a','red'),
boxmean = T,
type = 'box') %>%
layout(title = 'Employees that left had a higher evaluation scores',
xaxis = list(title = 'Employee Status'),
yaxis = list(title = 'Evaluation Score'),
showlegend = F)
T-Test 4:
Reject the Ho, p-value < 0.01, there is a means, where employees
who left spent more time spent at the company
Employees that left spent more time at the company
plot_ly(hr,
x = ~left,
y = ~time_spend_company,
color = ~left,
colors = c('#7cb16a','red'),
boxmean = T,
type = 'box') %>%
layout(title = 'Employees that left spent more time at the company',
xaxis = list(title = 'Employee Status'),
yaxis = list(title = 'Years'),
showlegend = F)