There are 15 values.
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It can be data over any single interval in the set of real numbers.
It is halfway along the distribution of set values. There are as many members of the set with values smaller than the median as there are with values bigger than it.
The Empirical Rule states that 68% of the data falls within 1 standard deviation from the mean. Since 1000 data values are given, take .68*1000 and you have 680 values are within 1 standard deviation from the mean.
basically both are part of mathematics's data handling section .They both help us to arrange a large amount of data into data that we can easily refer to ,just like graphs. In a stem and leaf diagram categorises data that are similar for eg. 10 to 19 ,you will therefore in your diagram under put 1 which represents 10 in the stem column and 9 under the leaf column as 9 is not a tenth digit. In the frequency table we use it count how many values of the set digits lie on that particular range . Both these two graphs help us to represent information that will help us to find the measures of central tendency and of dispersion.
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The possessive form of "leaf" is "leaf's." In English grammar, to show possession or ownership of something singular, we typically add an apostrophe and an "s" after the noun. So, if you are referring to something that belongs to a leaf, you would write "the leaf's color" or "the leaf's shape."
It is one leaf or many leaves
the plural of gold leaf is gold leaves. As in "it had gold leaves".
There are many leaves in fall.
Many leaves = foliage
There is only 1 leaf on the Canadian Flag which is a maple leaf. It is in the middle of the flag.
Petunia leaves are sessile which means they grow without a leaf stem attached to the main stem. The leaves are opposite.
It has five syllables.
u can rake half a leaf
Plants have many different shape of leaf.
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.