**Graphing Results of Breaking Bones**

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Results 1 and 2 represents our categorical variable data. This data is made up of the answers to the question "have you broken a bone before". The pie graph is easy to read and is noticeably visible that majority of people have not broken a bone. The bar graph of the categorical data is also easy to read. The "no" bar represents the higher frequency, thus having a long bar than the "yes" column.

Results 3 and 4 refer to our question number 2, how many bones have you broke. This question graphs our discrete variable data as a histogram and a stem and leaf plot. The histogram graphs our quantitative data. We learned in class that. a histogram is not supposed to have any gaps. However, ours does because our variables are discrete. The stem and leaf plot for question 2 is easy to read and the numbers are clear. The majority list of data was 0.0. This means that most people have not broken any bones.

Result 5 answers the question "how long do you think it takes for a bone to heal". This question is our continuous data. It is continuous because it can have almost any numerical value based on what the respondents think the answer is. The histogram shown is clear to read.

There was not a place to put our continuous variable data as a stem and leaf plot, so it is attached here. Our discrete variable data as a stem and leaf plot was easier to read than this one. Because of the various different answers, this graph is not as clear as it should be.

Variable: Q3 Decimal point is 1 digit(s) to the right of the colon. Leaf unit = 1 0 : 00045788 |

**Result 1: Pie Chart With Data**[Info]

**Result 2: Bar Plot With Data**[Info]

**Result 3: Histogram**[Info]

**Result 4: Stem and Leaf Plot**[Info]

Variable: Q2
Decimal point is at the colon. Leaf unit = 0.1 0 : 00000000 1 : 000 2 : 0 3 : 0 |

**Result 5: Histogram**[Info]

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