Description

The Final Project is a short presentation that you create and post in the Discussion. The presentation must have a quantitative aspect; it must include information of a quantitative nature.

Please read over the previous pages in this module for more detailed guidelines on your Final Project.

LA 255 Final Project Description and Instructions (PDF, 75.5 KB)

LA 255 Final Project Rubric (PDF, 478.2 KB)

Purpose

• To further your current mathematics-related knowledge and understanding or skills
• To present your knowledge and understanding in a professional manner
• To demonstrate some competence in the quantitative aspects of the course material (e.g. ratios, logarithmic scales, physical units, changing units, powers of 10, charts and diagrams, formulas)

Tools

• Word-processing software or equipment relevant to your project

This assignment teaches you what correlation analysis is and lays the groundwork for your Excel project due in Module 7. Before you attempt the assignment, you should read Chapter 13 p. 437 – 447. This portion of Chapter 13 may not be included if you purchased a physical copy of the textbook, but it is available for everyone via the e-book. NOTE: You will not need to calculate correlation coefficients by hand for your tests, but you do need to understand how to read and interpret scatter plots and correlation coefficients.

After you’ve done your reading, go to: http://istics.net/Correlations/ (Links to an external site.)

To play the game, you need to match the correlation coefficients with the correct randomly generated scatter plot. After you have matched all four scatter plots, click “check answers” to see how you did. After you do your review, click on the button to “get new plots.” A running log of your results will be shown in a box below the graphs.

When you have completed at least 10 attempts, take a screenshot showing your log and answer the questions below in a brief essay.

1. Start a new discussion thread. Embed your screenshot into the box provided (attachments not allowed).*
2. What was your overall percent correct?
3. Did you get any winning streaks? If so, how many in a row?
4. What was your strategy for getting correct answers?
5. What did you learn from this assignment?

* Your screenshot can be taken on your computer or you can take a picture with a phone and use that instead. Name the file and save it to your computer. You will need to upload your image file to Canvas first before you can embed it in your post. To read how, view this link:

Write a 700- to 1,050-word reflective essay about your experience applying quantitative analysis methods and the knowledge you have gained from this course. This should be a professional paper with citations to support your work.

Topics of each week

• five-stage iterative process
• graphical representation of data
• measures of central tendency. Mean,Median,Mode
• Measure of Variation
• Normal Distribution. Table Relationships
• Sampling Designs
• Confidence Intervals. Estimation Errors.

I need help answering these questions for an AP Calculus project. There should be at MOST 10 questions. Please do all work and double check all answers. I need to get at least an 80 on this project.

Topics Covered:

11.1-Sequences

11.2-Series

11.3- Integral Tests

11.4-Comparison Tests

11.5-Alternating Series

11.6-Absolute Convergence Ratio/Root Tests

11.7-Strategy For Testing Series

My project will be released at 11:00am Eastern US Time so you will have approximately 45 minutes to complete the questions after I send them. Thank you!

make a program that Calculates SampleRTT(Wireshark packet capture), EstimatedRTT, Deviation, and RTO

The program should be either in C++ or Python

I’m working on a statistics question and need support to help me learn.

provide an example of a finding in public and nonprofit administration (or the area you are familiar with) that may be statistically significant but not meaningful.

You may need to use the appropriate technology to answer this question.

To study the effect of temperature on yield in a chemical process, five batches were produced at each of three temperature levels. The results follow.

Construct an analysis of variance table. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.)

Use a 0.05 level of significance to test whether the temperature level has an effect on the mean yield of the process.

State the null and alternative hypotheses.

H₀: _50°C ≠ _60°C ≠ _70°C

H_a: _50°C = _60°C = _70°H₀: _50°C = _60°C = _70°CH_a: Not all the population means are equal. H₀: At least two of the population means are equal.
H_a: At least two of the population means are differH₀: Not all the population means are equal.
H_a: _50°C = _60°C = H₀: _50°C = _60°C = _70°C
H_a: _50°C ≠ _60°C ≠ _70°C

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to four decimal places.)

p-value =

State your conclusion.

A. Reject H₀. There is not sufficient evidence to conclude that the mean yields for the three temperatures are not equalB.Do not reject H₀. There is sufficient evidence to conclude that the mean yields for the three temperatures are not equal. C.Reject H₀. There is sufficient evidence to conclude that the mean yields for the three temperatures are not equal.D. Do not reject H₀. There is not sufficient evidence to conclude that the mean yields for the three temperatures are not equal.

STA3215CBE Section 02CBE Inferential Statistics and Analytics (11 Weeks) – CBE – 2021 Fall Quarter

Deliverable 6 – Analysis with Correlation and Regression item options

Assignment Content

1. Competency

   Determine the linear correlation and regression equation between two variables to make predictions for the dependent variable. Student Success Criteria

   View the grading rubric for this deliverable by selecting the “This item is graded with a rubric” link, which is located in the Details & Information pane. Scenario

   According to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).
   As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.
   Concepts Being Studied

   • Correlation and regression
   • Creating scatterplots
   • Constructing and interpreting a Hypothesis Test for Correlation using r as the test statistic
   • You are given a spreadsheet that contains the following information:
   • Magnitude measured on the Richter scale
   • Depth in km
   • Spreadsheet
     Using the spreadsheet, you will answer the problems below in a PowerPoint presentation. What to Submit

     The PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above. 

   • Slide 1: Title slide
   • Slide 2: Introduce your scenario and data set including the variables provided.
   • Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.
   • Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using ? = 0.05. Include an explanation on how you found those values.
   • Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.
   • Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.
   • Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.
   • Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.

I’m working on a applied mathematics question and need an explanation to help me study.

5. Round each of these answers to three decimal places

a. The SV of a liquid is 1.28. How many grams of this liquid will occupy 85 mL?

b. The SG of a liquid is 0.795. How many grams of this liquid will occupy 250 mL?

7. The EPA maximum contaminant level of inorganic mercury in drinking water is 2 ppb. If 35 mg of mercury is spilled into drinking water, to what volume in liters must it be diluted so that the concentration meets the standard? Round your final answer to the nearest hundred liters.