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3. Hypothesis Testing - 2L PP

# 3. Hypothesis Testing - 2L PP - Lets see that again More...

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Let’s see that again… More details about graphing, tables and statistics

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Table vs. Graph Graphs show trends 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 Collpas Forest Proportion of bats Reproductive Non-reproductive Bat species Number of individuals captured Number of female bats captured Number of male bats captured Lophostoma silvicolum 21 10 11 Platyrrhinus helleri 22 7 15 Carollia perspicillata 15 3 12 Artibeus obscurus 20 10 10 Figure 1: Proportion of female reproductive and non-reproductive bats in two different types of habitat (collpas and forest) Table 1. Number of total bats, female bats, and male bats captured in 2006 Tables show exact values
Making graphs 1. Choose the type of graph that best represents the data Frequency distributions showing the frequency of observations falling into a series of numerical categories plotted on the x-axis Histogram Graph Scatter Plot 0 2 4 6 8 10 12 14 16 <1.5 1.5 -­‐ 1.75 1.75 -­‐ 2 > 2 Numberofindividuals Size classes -­‐ Height (m) Every individual data point is plotted directly on the graph Best-fit line shows correlation or strength of association between two variables

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Making graphs 1. Choose the type of graph that best represents the data Line graph Bar graph When the one variable (“dependent”) represents a continuous function of the other (“independent”) variable e.g. Daily increase in leaf length between two different types of grasses 0 5 10 15 20 25 30 1 2 3 4 Leaflenght(mm) Collec=on number (day) Monkeygrass Turf 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 Collpas Forest Proportion of bats Reproductive Non-reproductive When the independent variable presents qualitative categories e.g. Proportion of reproductive and non-reproductive bats visiting two different types of habitat
Graph Details 2. Put information on appropriate axis x = Independent variable ( what you manipulated ) y = Dependent variable ( what you measured ) 3.

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