BIO Lab2 Report

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School

San Juan College *

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Course

2110

Subject

Mathematics

Date

Jan 9, 2024

Type

doc

Pages

4

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Report
N AME : L ATONNE W ILLIAMSON G RAPHING -L AB R EPORT S HEET Exercise 1 – Line/Scatter Graph Please insert your graph here: Analysis: 1. In this exercise you constructed a line/scatter graph. Please explain why this is the best choice for this particular data set. A line/scatter graph is the best choice for this data set because it contains two continuous variables. A line graph displays the trend or the pattern of a continuous variable over time and a scatter plot displays the individual data points, where each dot represents the value of one variable on the x-
axis and another variable on the y-axis. 2. For the butterfly data, which is the independent and which is the dependent variable? Independent variable is the year and the dependent variable is the emergence days. 3. What do these data tell you about butterfly emergence dates for the last 35 years? Looking at your graph, are the butterflies emerging earlier or later in the year since the 1970’s? In the last 35 years the data tells us that the dates vary from year to year, but since 1970 there is a down ward trend on the graph telling us that the butterflies are generally emerging earlier in the year. 4. This species of butterfly emerges when the air warms to a particular temperature. Does your graph allow you to make any conclusions about what may be happening to the air temperature? Yes, you can conclude that the air temperature is warming up earlier in the year. Exercise 2 – Bar graph Please insert your graph here:
Analysis: 1. In this exercise you constructed a bar graph. Please explain why this is the best choice for this particular data set. The bar graphs allows us to compare the quantity between the different categories. Using a bar graph makes it easy to visualize and compare the number of males in each age group by comparing the heights of the bars. A bar graph makes it simple to identify which age group has the highest or lowest number of males and to observe any patterns or trends in the distribution. 2. For the San Juan County data, which is the independent and which is the dependent variable? Independent variable is the age in years and the dependent variable is the number of males in San Juan County. 3. How could you graph data for both males and females on the same graph? One can graph the data for both the males and females by entering two variables into excel. You can distinguish between the two using different colors.
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4. Many critics say that for many years, young people have been leaving San Juan County and not returning. Does this graph support or negate this idea? What lead you to your answer? By looking at the data of young males leaving San Juan County, it show that the number of young males declined between the ages of 20-34. The graph does support that young people have been leaving but does not support the statement that they are not returning. The bar graph shows that between 35- 39 the number of males is increasing which may indicate that males are returning back to San Juan County.