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
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 13PPS
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Need help understanding this data
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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc02bfde4-a78d-4551-93f6-03d589a5c8dc%2Fa3c186b4-11e4-44f6-a086-7dd006973db4%2Fzyki4l9_processed.png&w=3840&q=75)
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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