To represent the heights of 23 Basketball players, a histogram or a box plot would be effective choices. A histogram can display the distribution of players' heights across various ranges, highlighting how many players fall within specific height intervals. Alternatively, a box plot could summarize the data by showing the median, quartiles, and any potential outliers, providing a clear overview of the height range and variability among the players.
You can use graph paper
Line plot
basketball and football
A histogram would be the best type of graph for showing the different heights of students in a class. It allows you to group the heights into intervals (bins) and visually display the distribution of students across those height ranges. This makes it easy to see patterns, such as the most common height range and the overall spread of heights among the students.
During a regular game of basketball, you will find ten players on the basketball court at one time (five per team).
It would be a smart idea!
Of course not. There are NBA players who are broken-down shells of their former selves, and there are also players who wouldn't fit in well with, say, the European style of basketball.
I would say a lot because you can make a lot of money playing basketball as a career.
Baseball players by far. Look at Alex Rodriguez The answer above is totally wrong basketball players like shaq, kobe, lebron and garnett get payed more than jeter (the highest payed baseball player)
It would be a variable amount as some years many get injured and some years not as much. If you are talking for all basketball players in the world though, it would be an uncountable amount.
The majority of Division I basketball players went to public high schools, so naming them all would be impossible.
A histogram would be the best type of graph to show the heights of 30 fifth-grade students. It allows for the visualization of the distribution of heights by grouping them into intervals (bins), making it easy to see patterns or trends. Alternatively, a box plot could also be useful for summarizing the data, showing the median, quartiles, and any outliers.