Sorry, But this is the most useless graph I have seen being plotted by Kenyans. It says nothing.
You draw yours from the link below BP ishuke.
https://www.worldometers.info/coronavirus/country/tanzania/
Your graph is not telling us anything at all because it is targeted testing. It's like entering a matatu and doing a survey to find out how many people use matatus compared to other modes of transport.
Or can you kindly interpret for us what the graph means
It shows a trend or rather growth rate of infections.
Very trueThis graph shows absolutely nothing!!!!
If they want to get growth rate of infections they should do random sampling.
Go to Eastleigh and test 1,000 random people today.
Three days later go there again and test 1,000 random people
After another three days go there and test 1,000 random people.
If you do random sampling the graph will keep on going up and down. It will be showing you whether infection is increasing or reducing.
This one for Kenya will be permanently increasing.
if they gavr no info tungekuwa hapa tupigia domo eti we want to know the truthYawwn, Whats new![]()
This graph shows absolutely nothing!!!!
If they want to get growth rate of infections they should do random sampling.
Go to Eastleigh and test 1,000 random people today.
Three days later go there again and test 1,000 random people
After another three days go there and test 1,000 random people.
If you do random sampling the graph will keep on going up and down. It will be showing you whether infection is increasing or reducing.
This one for Kenya will be permanently increasing.
So what should we doWhy do you need to sample when you have the real data? The graphs clearly shows a rapidly growing rate of infection. If we continue at this rate, how many people will be infected by next week?
So what should we do
Why do you need to sample when you have the real data? The graphs clearly shows a rapidly growing rate of infection. If we continue at this rate, how many people will be infected by next week?
Do you know how useless this graph is!!!
But it will always ever increaseIt shows a trend or rather growth rate of infections.
If they stopped testing for a week, the graph wouldn't go do because there wouldn't be data/ facts collected.Very wrong. The real data is the 45 million Kenyans. But since they cannot test everyone, they should do random testing.
The graph doesn't show rapidly growing infection rate. It just shows that they have managed to get 303 cases in the whole country.
If we continue with this mode of testing, prepare to be locked up until they finish testing every kenyan.