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create a hypothesis and understand the graphs for example.. from a diffrent project seen in the figure. i.e. "There was a significant positive effect of coast of origin on shell size (t-value = 2.4, p<0.05; Figure 1)…" but be careful NOT to interpret the results (that is for a Discussion section). -You will state your hypothesis and whether it was supported or rejected based on your analysis, then state your results in real world terms. Next, you will state any trends or out of the normal values that were seen in the analysis or figure (be careful, again, NOT to interpret!).

create a hypothesis and understand the graphs for example.. from a diffrent project seen in the figure. i.e. "There was a significant positive effect of coast of origin on shell size (t-value = 2.4, p<0.05; Figure 1)…" but be careful NOT to interpret the results (that is for a Discussion section). -You will state your hypothesis and whether it was supported or rejected based on your analysis, then state your results in real world terms. Next, you will state any trends or out of the normal values that were seen in the analysis or figure (be careful, again, NOT to interpret!).

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 13PPS
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Q1) create a hypothesis and understand the graphs

for example.. from a diffrent project

seen in the figure. i.e. "There was a significant positive effect of coast of origin on shell size (t-value = 2.4, p<0.05; Figure 1)…" but be careful NOT to interpret the results (that is for a Discussion section).

-You will state your hypothesis and whether it was supported or rejected based on your analysis, then state your results in real world terms. Next, you will state any trends or out of the normal values that were seen in the analysis or figure (be careful, again, NOT to interpret!).

Results SUMMARY Groups Count Sum Average Variance Black Drum 7 329.4221 47.06031 205.0849 Little Tunny 25.0367 7 148.3629 21.1947 7 6773.199 967.5998 Bait Fish 786274.2 ANOVA Source of Variation SS MS F P-value F crit Between Groups 4068737 2 2034369 7.759787 0.003713 3.554557 Within Groups 4719026 18 262168.1 Total 8787763 20 Winter Catch (Jan-Mar) 1200 1000 800 600 400 200 0 Black Drum Bait Fish Little Tunny Species Figure 2: Bar graph illustrating the different species caught during the months Jan - Mar by commercial fishing. Figure 1: Anoya test results between the averages of fish caught in ponds- trips. Ponds/trips
Transcribed Image Text:Results SUMMARY Groups Count Sum Average Variance Black Drum 7 329.4221 47.06031 205.0849 Little Tunny 25.0367 7 148.3629 21.1947 7 6773.199 967.5998 Bait Fish 786274.2 ANOVA Source of Variation SS MS F P-value F crit Between Groups 4068737 2 2034369 7.759787 0.003713 3.554557 Within Groups 4719026 18 262168.1 Total 8787763 20 Winter Catch (Jan-Mar) 1200 1000 800 600 400 200 0 Black Drum Bait Fish Little Tunny Species Figure 2: Bar graph illustrating the different species caught during the months Jan - Mar by commercial fishing. Figure 1: Anoya test results between the averages of fish caught in ponds- trips. Ponds/trips
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