This module is assocated with Clear-Sighted Statistics: Module 9: Normal Probability Distributions (slides)
This file is associated with Clear-Sighted Statistics, Module 14: One-Sample Null hypothesis Significance Tests.
This file is associated with Clear-Sighted Statistics, Module 14: One-Sample Null hypothesis Significance Tests.
This file is associated with Clear-Sighted Statistics, Module 11: Confidence Intervals, Module 14: One-Sample Null hypothesis Significance Tests, and Module 15: Two-Sample Null Hypothesis Significance Tests.
This file is associated with Clear-Sighted Statistics, Module 11: Confidence Intervals, Module 14: One-Sample Null hypothesis Significance Tests, and Module 15: Two-Sample Null Hypothesis Significance Tests.
This file is associated with Clear-Sighted Statistics, Module 15: Two-Sample Null Hypothesis Significance Tests.
This file is associated with Clear-Sighted Statistics, Module 14: One-Sample Null hypothesis Significance Tests.
This file is associated with Clear-Sighted Statistics, Module 14: One-Sample Null hypothesis Significance Tests.
This file is associated with Clear-Sighted Statistics, Module 14: One-Sample Null hypothesis Significance Tests.
This file is associated with Clear-Sighted Statistics, Module 14: One-Sample Null hypothesis Significance Tests.
This file is associated with Clear-Sighted Statistics, Module 15: Two-Sample Null Hypothesis Significance Tests.
Introduction:
Groundwater is key to Texas future and economy. The resource has long been a focus of legislative and economic interest. In the earliest days, the resource was viewed as 'occult and hidden.' That sense of mystery remains even as groundwater becomes more critical to the water resource picture for the state.
Since 1951, the state conducts regional water planning with the involvement of citizen stakeholders. Let's use your science-based knowledge of groundwater flow to see if you can find the right balance for both protecting and planning for groundwater use.
Our Case:
This week we will evaluate a historic court case from June 13, 1904. The case of East versus Texas Central Railroad Company is the Texas Supreme Ruling that provides the foundation for Texas groundwater law -- Rule of Capture.
In the appendix, you will find the following figures to help you determine whether or not Mr. East's well was impacted by the railroad company's pumping:
Platt map showing well locations and possible distances
Schematics of the well dimensions, along with simplified subsurface geology in the area.
In addition, you will be interested in knowing that the Geologic Atlas of Texas shows that the wells were likely completed in the Pawpaw Formation, which is a thick calcareous clay unit in the lower sections and cemented sand in the upper part. Lithologies in the area are reported to yield limited to moderate amounts of water in shallow wells. You can expect that the formation was an unconfined unit and assume that the East well is down-gradient from the Railroad well.
Assignment Part One:
1. Using the information from our last lecture, what do you think a reasonable transmissivity rate might be for the Pawpaw formation?
a. Estimate a transmissvity for a cemented sand unit.
b. Use this value as your first estimate in calculations to calculate the potential drawdown with Jacob's equation. This calculates the drawdown in an nonleaky artesian aquifer, sa, given the observed water table drawdowns.
sa = swt -- (s2st/2m)
c. Calculate swt using a correction equation.
Swt = m-(m2-2msa)1/2
Where m is the initial saturated thickness, which you may estimate at 30 ft.
2. How much water do you estimate that the railroad can extract before the well is impacted? Complete a diagram showing estimated drawdown (ft) on the y-axis and distances from the Railroad well (ft) using different transmissivity values and different distances. What do you discover about the case?
3. With your hydrogeologic analysis, do you believe that the East well was impacted by the railroad well? Can you explain how significant the impact may or may not have been?
Climate Considerations:
Is it possible that climate conditions could have impacted conditions in the well? Visit the Greenleaf website ([greenleaf.unl.edu/downloads/scPDSI.zip]) and access data for Palmer Drought Severity Indices. Looking at this data, complete the next questions.
Assignment Part 2:
4. Looking at the drought severity index maps of Texas from October 1900 to September 1902. What kind of implications might climate conditions have had on the groundwater conditions?
5. If climate conditions worsened, what do you think would happen to the wells?
Reference:
Mace, R.E., Ridgeway, C., and Sharp, J.M., 2004, Groundwater is no longer secret and occult - A historical and hydrogeologic analysis of the East case, 100 Years of Rule of Capture: From East to Groundwater Management, ed. Mullican, W.F. and Schwarz, S., Report 361, Texas Water Development Board, 63-86 pp.
Appendix -- support documents:
Figure 1 shows that Mr. East lived in Denison County, TX. The inset is a plan view map showing the potential locations of the wells in the town.
(in supporting documents)
Figure 2: Schematic of well dimensions and simplified geology.
(In supporting documents)
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As if they are environmental engineers, student pairs are challenged to use Google Earth Pro (free) GIS software to view and examine past data on hurricanes and tornados in order to (hypothetically) advise their state government on how to proceed with its next-year budget—to answer the question: should we reduce funding for natural disaster relief? To do this, students learn about maps, geographic information systems (GIS) and the global positioning system (GPS), and how they are used to deepen the way maps are used to examine and analyze data. Then they put their knowledge to work by using the GIS software to explore historical severe storm (tornado, hurricane) data in depth. Student pairs confer with other teams, conduct Internet research on specific storms and conclude by presenting their recommendations to the class. Students gain practice and perspective on making evidence-based decisions. A slide presentation as well as a student worksheet with instructions and questions are provided.
The Coke vs. Pepsi Taste Test Challenge has students design and carry out an experiment to determine whether or not students are able to correctly identify two brands of cola in a blind taste test.In the first stage of the activity students design and conduct the experiment. In the second part of the activity students use Sampling SIM software (freely downloadable from http://www.tc.umn.edu/~delma001/stat_tools/) to simulate and gather information on what would be expected under chance conditions (i.e., if students obtained correct answers only by guessing). The students then compare the observed results to the chance results and make an inference about whether a given student can in fact correctly identify Coke and Pepsi in a blind taste test. Finally, the experiment is critiqued in terms of how well it met the standards for a good experiment.
This activity allows students to gain a better understanding of the experimental process and causality through considering control, random assignment, and possible confounding variables. The activity also allows students to begin to understand the process of hypothesis testing by comparing their observed results of the taste test to the results obtained through Sampling SIM (which model would be obtained by chance). Students make an inference about whether particular students in their class can truly tell the difference between Coke and Pepsi by reasoning about how surprising the observed results are compared to the simulated distribution of correct identifications by guessing. The activity also provides an opportunity for discussing generalizability to a population.
n this task, students are able to conjecture about the differences in the two groups from a strictly visual perspective and then support their comparisons with appropriate measures of center and variability. This will reinforce that much can be gleaned simply from visual comparison of appropraite graphs, particularly those of similar scale. Students are also encouraged to consider how certain measurements and observation values from one group compare in the context of the other group.
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CODAP (Common Online Data Analysis Platform) is an easy to use data analysis environment that can be used in a wide variety of educational settings. CODAP is designed for grades 5 through 14, and aimed at teachers and curriculum developers. CODAP can be used across the curriculum to help students summarize, visualize, and interpret data, Conadvancing their skills to use data as evidence to support a claim.
Students groups create scientific research posters to professionally present the results of their AQ-IQ research projects, which serves as a conclusion to the unit. (This activity is also suitable to be conducted independently from its unit—for students to make posters for any type of project they have completed.) First, students critically examine example posters to gain an understanding of what they contain and how they can be made most effective for viewers. Then they are prompted to analyze and interpret their data, including what statistics and plots to use in their posters. Finally, groups are given a guide that aids them in making their posters by suggesting all the key components one would find in any research paper or presentation. This activity is suitable for presenting final project posters to classmates or to a wider audience in a symposium or expo environment. In addition to the poster-making guide, three worksheets, six example posters, a rubric and a post-unit survey are provided.
Students will calculate various measures of central tendency using data on the number of people who bike to work in select states. Students will then create a box plot to represent the data set and answer conceptual questions about the impact of the data set’s outlier.
This activity applies to Teaching Principle 2: Climate is regulated by complex interactions among components of the Earth System. It specifically addresses Concept 2A: Earth's climate is influenced by interactions involving the sun, ocean, atmosphere, clouds, ice, land, and life. Climate varies by region as a result of local differences in these interactions. It is anticipated that the activity will take two 50 - 75 minute class periods with additional time for follow-up assessment.
Students use web resources to identify climate patterns and distributions and
synthesize the information to develop an understanding of the global variation.
Students develop tables of temperature and precipitation averages and also identify and describe an extreme weather event. This exercise is an inquiry-style lesson and can easily be adapted for use in or out of the classroom.
Note: Prior to this assignment, students should receive some information on how to sample climate data from the GLOBE or NASA sets, or how to find quality online resources about climate and climate variability. This could be done as a walk-through, in-class tutorial of government/ university research centers and SERC sites, comparing the information in each to less reliable sources such as Wikipedia.
(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)