The amount of money earned in a day by Ms. Anne’s craft shop was recorded and displayed in the stem-and-leaf diagram shown below in Exhibit 1. Exhibit 1 Stem-and-leaf of Data: Amount of Money earned in a day in dollars Leaf Unit = 10 N = * 2 2 59 5 3 234 13 3 55779999 (**) 4 0001233 14 4 5569 *** 5 03344 5 5 7788 1 6 1 (i) What is the range of the distribution? (ii) What are the values of *, ** and ***? (iii) What is the median of the distribution? (iv) Use the stem-and-leaf diagram above to draw a box-and-whisker diagram. (v) Comment on the skewness of the distribution.
Unitary Method
The word “unitary” comes from the word “unit”, which means a single and complete entity. In this method, we find the value of a unit product from the given number of products, and then we solve for the other number of products.
Speed, Time, and Distance
Imagine you and 3 of your friends are planning to go to the playground at 6 in the evening. Your house is one mile away from the playground and one of your friends named Jim must start at 5 pm to reach the playground by walk. The other two friends are 3 miles away.
Profit and Loss
The amount earned or lost on the sale of one or more items is referred to as the profit or loss on that item.
Units and Measurements
Measurements and comparisons are the foundation of science and engineering. We, therefore, need rules that tell us how things are measured and compared. For these measurements and comparisons, we perform certain experiments, and we will need the experiments to set up the devices.
b) The amount of money earned in a day by Ms. Anne’s craft shop was recorded and displayed
in the stem-and-leaf diagram shown below in Exhibit 1.
Exhibit 1
Stem-and-leaf of Data: Amount of Money earned in a day in
dollars
Leaf Unit = 10 N = *
2 2 59
5 3 234
13 3 55779999
(**) 4 0001233
14 4 5569
*** 5 03344
5 5 7788
1 6 1
(i) What is the
(ii) What are the values of *, ** and ***?
(iii) What is the median of the distribution?
(iv) Use the stem-and-leaf diagram above to draw a box-and-whisker diagram.
(v) Comment on the skewness of the distribution.
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