No, you cannot. You will not know how many observations there were,
It helps you better than just looking at it.
Mean numbers are the average. To find the mean or the average, you have to add all the numbers in the data and you divide the sum by the total number of numbers there are. You divide the sum by how much numbers there are. For example, if the data numbers for a line plot is 1,2,3,4,2,0. You do this: 1+2+3+4+2+0=12 (Add all the numbers together) 12 divided by 6 = 3 (Take the sum and divide by how much numbers there are) 3 = mean number or average So you just take the numbers from the data or if you're gonna plot it on a line, just take those numbers that you're going to plot and do what I did up there.
No, but quantitative data can.
The easiest way to tell if data is normally distributed is to plot the data.line plot apex
hi in stem and lef plot u can see the bigest and smallest obseravion in ur sample clearly ! u can see how ur data is treating that is skewness of ur obseravtions will be clear in plot , u can see how much ur data are far from together
It helps you better than just looking at it.
There are many benefits of using a stem and leaf plot in the analysis of data. A stem and leaf plot can be constructed quickly. The value of each data point can be recovered from the plot. The data is arranged compactly because the stem is not repeated in multiple data points.
Mean numbers are the average. To find the mean or the average, you have to add all the numbers in the data and you divide the sum by the total number of numbers there are. You divide the sum by how much numbers there are. For example, if the data numbers for a line plot is 1,2,3,4,2,0. You do this: 1+2+3+4+2+0=12 (Add all the numbers together) 12 divided by 6 = 3 (Take the sum and divide by how much numbers there are) 3 = mean number or average So you just take the numbers from the data or if you're gonna plot it on a line, just take those numbers that you're going to plot and do what I did up there.
Stem-and-Leaf Plot
No, but quantitative data can.
The easiest way to tell if data is normally distributed is to plot the data.line plot apex
hi in stem and lef plot u can see the bigest and smallest obseravion in ur sample clearly ! u can see how ur data is treating that is skewness of ur obseravtions will be clear in plot , u can see how much ur data are far from together
no,you use a data when doing a vote. a line plot is for fractions or time line.
we use sem and leaf plot in data sorting when there are lare amounts of numbers to anyalyze.
In my view, the best plot for bivariate data is a scatter plot.
use the data you have been given and I don't know the rest
a data culster is where on a line plot there is alot of data in one section that has a large amount of data.