Comparison of a Dynamic and Static Penetrometer for Reproducibility of Readings Eric C. Brevik, Department of Physics, Astronomy, and Geosciences, Valdosta.

Slides:



Advertisements
Similar presentations
DESCRIBING DISTRIBUTION NUMERICALLY
Advertisements

Descriptive Measures MARE 250 Dr. Jason Turner.
Percentiles and the Normal Curve
Saeed Ebrahimijam Spring 2013 Faculty of Business and Economics Department of Banking and Finance Doğu Akdeniz Üniversitesi FINA417.
Class Session #2 Numerically Summarizing Data
Chapter 6 Introduction to Continuous Probability Distributions
Describing Distributions Numerically
1. Statistics 2. Frequency Table 3. Graphical Representations  Bar Chart, Pie Chart, and Histogram 4. Median and Quartiles 5. Box Plots 6. Interquartile.
By Jayelle Hegewald, Michele Houtappels and Melinda Gray 2013.
Factors that Associated with Stress in Nursing Faculty in Thailand
Garrett Bayrd, L.E.G. Shannon and Wilson, Inc. QUANTIFYING ERRORS IN MANUAL INCLINOMETER FIELD MEASUREMENTS.
Office of Institutional Research, Planning and Assessment January 24, 2011 UNDERSTANDING THE DIAGNOSTIC GUIDE.
Topic 5 Statistical inference: point and interval estimate
10a. Univariate Analysis Part 1 CSCI N207 Data Analysis Using Spreadsheet Lingma Acheson Department of Computer and Information Science,
IDEA Student Ratings of Instruction Shelley A. Chapman, PhD Insight Improvement Impact ® University of Alabama Birmingham September 11, 2012.
Interpreting Performance Data
Make observations to state the problem *a statement that defines the topic of the experiments and identifies the relationship between the two variables.
Once the five minutes were up, the subject then took an eleven- minute break in which they could ask questions. When the eleven minutes were up they were.
Soil and Environmental Implications of Land Rolling Corn Logan Ahlers and Paul Kivlin College of Agriculture, Food, and Environmental Science University.
Essential Statistics Chapter 31 The Normal Distributions.
A Method For Designing Improvements in Organizations, Products, and Services Stuart Umpleby Research Program in Social and Organizational Learning The.
Statistical Quality Control
NITROGEN FERTIGATION OF SUBSURFACE DRIP IRRIGATED BERMUDAGRASS M.A. Maurer* 1, J.A. Moken 2 and J.L. Young 1 1 Department of Agriculture, Stephen F. Austin.
Announcements First quiz next Monday (Week 3) at 6:15-6:45 Summary:  Recap first lecture: Descriptive statistics – Measures of center and spread  Normal.
How many times can you write statistics in a minute? By: Madeline Stenken and Tara Levine.
Chap 10-1 A Course In Business Statistics, 4th © 2006 Prentice-Hall, Inc. A Course In Business Statistics 4 th Edition Chapter 10 Hypothesis Tests for.
Chapter 5 Describing Distributions Numerically.
1 STAT 500 – Statistics for Managers STAT 500 Statistics for Managers.
R&R Homework Statgraphics “Range Method”. DATA OperatorPartTrialMeasure B B B B B B326.5 B B B C
Chapter 5 Describing Distributions Numerically Describing a Quantitative Variable using Percentiles Percentile –A given percent of the observations are.
1 - COURSE 4 - DATA HANDLING AND PRESENTATION UNESCO-IHE Institute for Water Education Online Module Water Quality Assessment.
Can physiological indices of fitness predict competitive national rank in high performance junior British surfers? Barlow, M.J. 1 ; Findlay, M. 1 ; Gresty,
Example - Fax Here are the number of pages faxed by each fax sent from our Math and Stats department since April 24 th, in the order that they occurred.
NYS Grades 9-12 School Growth Scores: From MGP and GRE to HEDI Ratings and Scores August 2016 Disclaimer If there are any discrepancies between.
1 NYS Grades 4-8 Teacher Growth Scores: From MGP to HEDI Ratings and Scores August 2016 Disclaimer If there are any discrepancies.
MAHIDOL UNIVERSITY WISDOM OF THE LAND
Reporting Uncertainty
Welcome to Week 04 Tues MAT135 Statistics
Measures of dispersion
Objectives The student will be able to:
The Accuracy of the Table Movement During A Whole Body Scan
Teaching Statistics in Psychology
Unit 6 Day 2 Vocabulary and Graphs Review
Assessing changes in soil microbial biomass in grassland soils
The National Benchmarking Database
TECHjOSH.COM TechJosh.com.
Objectives The student will be able to: use Sigma Notation
Assessment of Learning (AOL) in Undergraduate Business Analytics (BSAN) Courses BSAN I: Business Statistics BSAN II: Introduction to Management Science.
Chapter 2 Describing Variables
By Jude Haas, Lauren Kilgore & Amy Baxter
خشنه اتره اهورهه مزدا شيوۀ ارائه مقاله 17/10/1388.
Topic 5: Exploring Quantitative data
Title of Poster Site Visit 2017 Introduction Results
Part I: Effects of Soil vs. Agar on Germination
Structure of The Atom Not the Adam.
New York State Education Department Using Growth Measures for Educator Evaluation August 2012.
Measuring Variation – The Five-Number Summary
Representation of Data
Chapter 10 Hypothesis Tests for One and Two Population Variances
Data Analysis and Statistical Software I Quarter: Spring 2003
Probability and Statistics for Engineers
Section 3:4 Answers page 173 #5,6, 12, 14, 16, 19, 21 23, 28
Results for Research Question 1 Results for Research Question 2
Probability and Statistics for Engineers
-Header (Title, author name(s), department) -Background -Purpose
Probability and Statistics for Engineers
Standard Deviation and the Normal Model
lectures Notes on: Soil Mechanics
Table 1. Summary Statistics of Top Cut 1-m Samples
Warm Up Your textbook provides the following data on the height of men and women. Mean Std. Dev Men Women ) What is the z score.
Presentation transcript:

Comparison of a Dynamic and Static Penetrometer for Reproducibility of Readings Eric C. Brevik, Department of Physics, Astronomy, and Geosciences, Valdosta State University, Valdosta, GA. Introduction - Dynamic penetrometers have been promoted as instruments that give more reproducible readings over a wider resistance range than static penetrometers - To test this, a dynamic Jornada Impact Penetrometer (JIP) was compared to a commercially available static pocket pentrometer Results (Tables 1-6) - Most of the readings taken in the sparesly vegetated area at Site 1 exceeded the upper measurement limit of the static penetrometer. - Two of the readings in the pit bottom at Site 1 were below the lower limit of the static penetrometer (gave readings of 0) - At Site 2, 18 of the 21 dynamic means compared were statistically equal, while 14 of the 21 static means were equal - At Site 2, 14 of the 21 dynamic means had a standard deviation (SD) that was <20% of the mean, 19 had a SD that was <40% of the mean, and all 21 had SDs that were <60% of the mean. None of the 21 static penetrometer means had a SD <20% of the mean, only nine had a SD <40% of the mean, and 16 had a standard deviation<60% of the mean. Five of the static penetrometer means had SDs >60% of the mean. Materials and Methods - A soil science class was broken into groups. - Each group was given two sets of locations (Sites 1 and 2) that they visited. Each member of each group determined penetration resistance at each location with both penetrometers - Penetrometer readings from each group were averaged, and the averages compared using the statistical package embedded in Microsoft Excel. The Model 29-3729 CL-700A pocket penetrometer set next to a ruler with cm (top) and inch (bottom) increments for scale. A group of students uses the Jornada Impact Penetrometer. Table 3. Summary statistics for the JIP analysis done at Site 2. Station Group 1 Group 2 Group 3 Mean (J/cm) Std. Dev. (J/cm) Min. (J/cm) Max. (J/cm) 1 2 3 4 5 6 7 2.14a 2.55a 1.80a 2.32a 3.19a 2.51a 0.24 0.55 0.13 0.20 0.37 0.35 0.23 1.77 1.86 1.61 1.95 2.95 2.21 2.53 3.54 1.92 2.36 2.83 3.94 2.86 2.85b 2.23a 1.84a 2.81a 2.87a 3.71b 2.32ab 0.66 0.19 1.47 0.90 0.86 1.97 1.27 1.54 1.05 2.29 5.91 4.72 2.59ab 2.17a 1.90a 2.65a 5.40ab 2.02b 0.52 0.40 0.10 2.93 1.75 2.62 2.08 11.81 Same letter indicates means are equal Table 5. Standard deviation as a percentage of the mean for the JIP readings done at Site 2. Station Group 1 Group 2 Group 3 Mean (J/cm) Std. Dev. (J/cm) % of mean 1 2 3 4 5 6 7 2.14 2.55 1.80 2.32 3.19 2.51 0.24 0.55 0.13 0.20 0.37 0.35 0.23 11.2 21.7 7.1 9.2 15.9 11.0 2.85 2.23 1.84 2.81 2.87 3.71 0.66 0.19 1.47 0.90 0.86 23.2 8.4 19.3 52.2 31.4 9.9 37.1 2.59 2.17 1.90 2.65 5.40 2.02 0.52 0.40 0.10 2.93 20.0 18.2 5.5 10.9 7.6 54.3 9.4 Conclusions - The dynamic penetrometer had more reproducible readings and was able to take readings over a wider range of soil resistances when compared to the static penetrometer. Table 1. Summary statistics for the JIP analysis done at Site 1. Area Group 1 Group 2 Mean (J/cm) Std. Dev. (J/cm) Min. (J/cm) Max. (J/cm) Natural Pit bottom Sparsely vegetated Grassy 1.73 5.31a 34.25 7.53a 0.19 1.47 12.64 0.58 1.42 3.30 23.62 6.44 2.08 7.09 70.87 8.34 2.86 5.27a 10.44 7.93a 0.33 0.65 1.25 0.85 2.36 4.43 8.86 3.22 11.81 Same letter indicates means are equal Table 4. Summary statistics for the CL-700A penetrometer analysis done at Site 2. Station Group 1 Group 2 Group 3 Mean (kg/cm2) Std. Dev. (kg/cm2) Min. (kg/ cm2) Max. (kg/cm2) Max. (kg/ 1 2 3 4 5 6 7 0.29 0.36a 0.01 0.67a 1.10a 1.44a 0.75a 0.25 0.27 0.04 0.31 0.47 0.60 0.33 0.00 0.30 0.75 0.80 0.50 0.10 1.25 2.00 2.60 1.30 0.82a 0.80ab 0.68a 0.59a 1.51a 1.61a 1.04a 0.19 0.46 0.62 0.28 0.54 0.35 0.77 1.00 1.50 2.10 0.69a 1.08b 0.41a 1.41 1.29a 1.71a 0.43 0.21 0.36 0.32 0.41 0.17 0.70 0.20 0.40 1.75 1.70 2.40 0.90 Same letter indicates means are equal Acknowledgements and Disclaimer This research was supported by a Valdosta State University faculty research grant. The author thanks the students of his Spring 2006 Environmental Soil Science class for participating in this study. Trade names or commercial products are given solely for the purpose of providing information on the exact equipment used in this study, and do not imply recommendation or endorsement by Valdosta State University. Table 6. Standard deviation as a percentage of the mean for the CL-700A penetrometer readings done at Site 2. Station Group 1 Group 2 Group 3 Mean (kg/cm2) Std. Dev. (kg/cm2) % of mean 1 2 3 4 5 6 7 0.29 0.36 0.01 0.67 1.10 1.44 0.75 0.25 0.27 0.04 0.31 0.47 0.60 0.33 86.6 75.5 264.6 46.1 43.0 41.5 43.4 0.82 0.80 0.68 0.59 1.51 1.61 1.04 0.19 0.46 0.62 0.28 0.54 0.35 0.77 23.0 57.2 92.0 47.2 35.5 21.7 74.3 0.69 1.08 0.41 1.41 1.29 1.71 0.43 0.21 0.32 0.17 39.0 39.6 50.1 25.7 25.3 23.8 28.6 Table 2. Summary statistics for the CL-700A penetrometer analysis done at Site 1. Area Group 1 Group 2 Mean (kg/cm2) Std. Dev. (kg/cm2) Min. (kg/cm2) Max. (kg/cm2) Min. (kg/cm2) Natural Pit bottom Sparsely vegetated Grassy 0.78a 0.97 4.43a 1.22 0.33 0.77 0.26 0.41 0.30 0.10 3.60 0.50 1.30 2.20 4.50 1.75 1.00a 0.40 3.84a 0.72 0.35 0.98 0.34 0.00 2.00 1.50 1.00 1.25 Same letter indicates means are equal