Answer the following questions using the data provided in Table 1 Table 1. Problem sets for grain-size analysis Class Class Sample A interval interval (mm) Weight (g) (4) 0 to -1 1-0 1-2 1.06 0.5-1 4.11 0.25-0.5 2-1 9.87 0.125-0.25 3-2 4-3 18.37 0.062-0.125 4.31 pan pan 6.10 a) Calculate the weight of sediment trapped expressed as a percentage of the weight of the total sample and the "coarser than" cumulative weight percent. b) Construct a histogram for the samples. c) Construct cumulative curves, using (i) arithmetic and (ii) probability paper.
Answer the following questions using the data provided in Table 1 Table 1. Problem sets for grain-size analysis Class Class Sample A interval interval (mm) Weight (g) (4) 0 to -1 1-0 1-2 1.06 0.5-1 4.11 0.25-0.5 2-1 9.87 0.125-0.25 3-2 4-3 18.37 0.062-0.125 4.31 pan pan 6.10 a) Calculate the weight of sediment trapped expressed as a percentage of the weight of the total sample and the "coarser than" cumulative weight percent. b) Construct a histogram for the samples. c) Construct cumulative curves, using (i) arithmetic and (ii) probability paper.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
![Answer the following questions using the data provided in Table 1
Table 1. Problem sets for grain-size analysis
Class
Class
Sample A
interval
interval
Weight
(g)
(mm)
(4)
0 to -1
1-0
1-2
1.06
0.5-1
4.11
0.25-0.5
2-1
9.87
0.125-0.25
3-2
4-3
18.37
0.062-0.125
4.31
pan
pan
6.10
a) Calculate the weight of sediment trapped expressed as a percentage of the
weight of the total sample and the "coarser than" cumulative weight percent.
b) Construct a histogram for the samples.
c) Construct cumulative curves, using (i) arithmetic and (ii) probability paper.
d) Use the cumulative curve drawn on probability paper to calculate graphic
statistical measures (i.e., median, mean, standard deviation, skewness, and
kurtosis) and interpret the results. Put your results in Table 2. Results of grain-size
analysis.
Statistical Measure
Results
Interpretation
Median
Mean
Standard deviation
Skewness
Kurtosis](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdb33a3e8-66ed-4f67-833d-07dcfa8a3252%2Fdd967fa4-b90a-404d-90c1-16c328852086%2Fln8qx7i_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Answer the following questions using the data provided in Table 1
Table 1. Problem sets for grain-size analysis
Class
Class
Sample A
interval
interval
Weight
(g)
(mm)
(4)
0 to -1
1-0
1-2
1.06
0.5-1
4.11
0.25-0.5
2-1
9.87
0.125-0.25
3-2
4-3
18.37
0.062-0.125
4.31
pan
pan
6.10
a) Calculate the weight of sediment trapped expressed as a percentage of the
weight of the total sample and the "coarser than" cumulative weight percent.
b) Construct a histogram for the samples.
c) Construct cumulative curves, using (i) arithmetic and (ii) probability paper.
d) Use the cumulative curve drawn on probability paper to calculate graphic
statistical measures (i.e., median, mean, standard deviation, skewness, and
kurtosis) and interpret the results. Put your results in Table 2. Results of grain-size
analysis.
Statistical Measure
Results
Interpretation
Median
Mean
Standard deviation
Skewness
Kurtosis
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