Category: Mathematics Homework Help

I’m taking a Highschool Summer Program advanced Calculus 3 class and I need help with a questions project. The questions cover the topic of Vectors and the geometry of space. We are using a college level textbook which the link it attached here: https://drive.google.com/file/d/1MApTbpGynA2DhuP012QdeYseYmVA8e7G/view?usp=sharing

This is a breakdown of specific topics

Chapter 12

12.1 Three-Dimensional Coordinate Systems 792

12.2 Vectors 798

12.3 The Dot Product 807

12.4 The Cross Product 814

12.5 Equations of Lines and Planes 823

Please have all work written out detailed, correct, and neat. I will have the questions to my project at exactly 9:30am Eastern US time tomorrow. I will have exactly 50minutes to turn this project in so you will have the same time to finish and submit.

find the area under the surface ( , ) = ^2* + cos ( ) and over the
curve C which is a line segment joining the points (0,1) and (2,4). Thanks.

Descriptive statistics allow us to describe the distribution of a single variable. This is very useful when needing to know the how one parameter behaves, but it does not provide a definitive answer to questions like:

Is the mean above a certain value?
Is the deviation less than a desired amount?
How do the results for two different groups compare?

Hypothesis testing allows a definitive answer to such questions. A hypothesis tests consists of several elements:
i. null hypothesis
ii. test statistic cut-off (value based on the specified confidence interval)
iii. test statistic sample (value based on the data collected)
iv. decision to “reject the null hypothesis” or to “fail to reject the null hypothesis”
v. explanation of what that result meets in context

Give an example of a hypothesis test. You may choose an example from the textbook, an example from another source, or your own example. Be sure that you provide a citation for any example used.

For your hypothesis test example, identify each of the following:

1) null hypothesis – Explain this null hypothesis. Explain what the alternative hypothesis is. Explain what rejecting the null hypothesis would allow you to conclude.

2a) test statistic utilized – Specify what distribution (z, t, chi-squared, F, etc is considered) is considered.
2b) test statistic cut-off – What is the percent confidence and what value does that give for the border between rejecting and failing to reject the null hypothesis?
2c) test statistic calculated – What value does the test statistic have for the data?

3) decision – Is the calculated test statistic greater than or less than the cut-off value? Do you “reject” or “fail to reject” the null hypothesis?

4) explanation – Explain what this decision means in the context of the problem. Be sure you include the percent confidence and the null/alternative hypothesis in your explanation.

Be sure to defend and support your all aspects and remember to properly cite your sources according to APA guidelines. You may draw on any book, article, website, or other reliable resource in answering this question.

I’m working on a calculus discussion question and need guidance to help me study.

hi i need you to do those questions they are 20 . Please do them carefully to get the right answer . I’m gonna attach the photos for the questions.

Use the dependent variable (labeled Y) and one of the independent variables (labeled X1, X2, and X3) in the data file. Select and use one independent variable throughout this analysis. Use Excel to perform the regression and correlation analysis to answer the following.

1. Generate a scatterplot for the specified dependent variable (Y) and the selected independent variable (X), including the graph of the “best fit” line. Interpret.
2. Determine the equation of the “best fit” line, which describes the relationship between the dependent variable and the selected independent variable.
3. Determine the correlation coefficient. Interpret.
4. Determine the coefficient of determination. Interpret.
5. Test the utility of this regression model by completing a hypothesis test of b=0 using ?=0.10. Interpret results, including the p-value.
6. Based on the findings in steps 1-5, analyze the ability of the independent variable to predict the dependent variable.
7. Compute the confidence interval for b, using a 95% confidence level. Interpret this interval.
8. Compute the 99% confidence interval for the dependent variable, for a selected value of the independent variable. Each student can choose a value to use for the independent variable (use same value in the next step). Interpret this interval.
9. Using the same chosen value for part (8), estimate the 99% prediction interval for the dependent variable. Interpret this interval.
10. What can be said about the value of the dependent variable for values of the independent variable that are outside the range of the sample values? Explain.
11. Describe a business decision that could be made based on the results of this analysis. In other words, how might the business operations change based on these statistical results.

Summarize your results from Steps 1-11 in a 3-page report. The report should explain and interpret the results in ways that are understandable to someone who does not know statistics.

Submission: The Word document, summary report should be submitted for questions 1-11. The Excel output can be included as an appendix, if needed.

FORMAT FOR REPORT:

1. Summary Report
2. Steps 1-11 addressed with appropriate output, graphs and interpretations. Be sure to number each step 1-1

I am attaching some additional documents which may or may not be useful

In this project, you will demonstrate your mastery of the following competency:

• Apply statistical techniques to address research problems
• Perform hypothesis testing to address an authentic problem

Overview

In this project, you will apply inference methods for means to test your hypotheses about the housing sales market for a region of the United States. You will use appropriate sampling and statistical methods.

Scenario

You have been hired by your regional real estate company to determine if your region’s housing prices and housing square footage are significantly different from those of the national market. The regional sales director has three questions that they want to see addressed in the report:

1. Are housing prices in your regional market higher than the national market average?
2. Is the square footage for homes in your region different than the average square footage for homes in the national market?
3. For your region, what is the range of values for the 95% confidence interval of square footage for homes in your market?

You are given a real estate data set that has houses listed for every county in the United States. In addition, you have been given national statistics and graphs that show the national averages for housing prices and square footage. Your job is to analyze the data, complete the statistical analyses, and provide a report to the regional sales director. You will do so by completing the Project Two Template located in the What to Submit area below.

Directions

Introduction

1. Purpose: What was the purpose of your analysis, and what is your approach?
   1. Define a random sample and two hypotheses (means) to analyze.
2. Sample: Define your sample. Take a random sample of 100 observations for your region.
   1. Describe what is included in your sample (i.e., states, region, years or months).
3. Questions and type of test: For your selected sample, define two hypothesis questions and the appropriate type of test hypothesis for each. Address the following for each hypothesis:
   1. Describe the population parameter for the variable you are analyzing.
   2. Describe your hypothesis in your own words.
   3. Describe the inference test you will use.
      1. Identify the test statistic.
4. Level of confidence: Discuss how you will use estimation and conference intervals to help you solve the problem.

1-Tail Test

1. Hypothesis: Define your hypothesis.
   1. Define the population parameter.
   2. Write null (Ho) and alternative (Ha) hypotheses.
   3. Specify your significance level.
2. Data analysis: Analyze the data and confirm assumptions have not been violated to complete this hypothesis test.
   1. Summarize your sample data using appropriate graphical displays and summary statistics.
      1. Provide at least one histogram of your sample data.
      2. In a table, provide summary statistics including sample size, mean, median, and standard deviation.
      3. Summarize your sample data, describing the center, spread, and shape in comparison to the national information.
   2. Check the conditions.
      1. Determine if the normal condition has been met.
      2. Determine if there are any other conditions that you should check and whether they have been met.
3. Hypothesis test calculations: Complete hypothesis test calculations, providing the appropriate statistics and graphs.
   1. Calculate the hypothesis statistics.
      1. Determine the appropriate test statistic (t).
      2. Calculate the probability (p value).
4. Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis.
   1. Relate the p value and significance level.
   2. Make the correct decision (reject or fail to reject).
   3. Provide a conclusion in the context of your hypothesis.

2-Tail Test

1. Hypotheses: Define your hypothesis.
   1. Define the population parameter.
   2. Write null and alternative hypotheses.
   3. State your significance level.
2. Data analysis: Analyze the data and confirm assumptions have not been violated to complete this hypothesis test.
   1. Summarize your sample data using appropriate graphical displays and summary statistics.
      1. Provide at least one histogram of your sample data.
      2. In a table, provide summary statistics including sample size, mean, median, and standard deviation.
      3. Summarize your sample data, describing the center, spread, and shape in comparison to the national information.
   2. Check the assumptions.
      1. Determine if the normal condition has been met.
      2. Determine if there are any other conditions that should be checked on and whether they have been met.
3. Hypothesis test calculations: Complete hypothesis test calculations, providing the appropriate statistics and graphs.
   1. Calculate the hypothesis statistics.
      1. Determine the appropriate test statistic (t).
      2. Determine the probability (p value).
4. Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis.
   1. Relate the p value and significance level.
   2. Make the correct decision (reject or fail to reject).
   3. Provide a conclusion in the context of your hypothesis.
5. Comparison of the test results: See Question 3 from the Scenario section.
   1. Calculate a 95% confidence interval. Show or describe your method of calculation.
   2. Interpret a 95% confidence interval.

Final Conclusions

1. Summarize your findings: Refer back to the Introduction section above and summarize your findings of the sample you selected.
2. Discuss: Discuss whether you were surprised by the findings. Why or why not?

What to Submit

To complete this project, you must submit the following:

Project Two Template: Use this template to structure your report, and submit the finished version as a Word document.

Supporting Materials

The following resources may help support your work on the project:

Data Set: House Listing Price by Region
Use this data for input in your project report.

Document: National Statistics and Graphs
Use this data for input in your project report.

Use these tutorials for support with the Excel functions you will use in the project:

• Tutorial: Random Sampling in Excel
• Tutorial: Scatterplots in Excel
• Tutorial: Descriptive Statistics in Excel
• Tutorial: Creating Histograms in Excel

Look back to the raw data you collected in week 1. There are 7 variables listed:

Vehicle type/class

Year

Make

Model

Price

MPG (city)

MPG (highway)

Choose TWO variables that you feel are correlated and explain why you feel that they are correlated. Do you suspect the relation is positive or negative? Why? Which would be considered the independent variable, which the dependent variable? Why?

Run a regression analysis in Excel and provide the results in your post along with your raw data. Looking at the R2 value, explain what this indicates about the strength of the relation.  Then write out your Regression Equation, state if your p-value and conclusion.

I encourage you to review the Week 7 Regression PDF  at the bottom of the discussions.  This will give you a step by step example on how to calculate a correlation and run a Regression using Excel. 

1. Review the rubric to make sure you understand the criteria for earning your grade.
2. Read Ecclesiastes 3:1–8 in your Bible.
3. Download the file WeeklyTime (Excel) and fill out how you use your time.
   1. The table is partially completed with an example legend and time allocation; you will change these to reflect your own time usage.
   2. Edit the legend to reflect your activities.
   3. Then color in the time you spend on each on the table of days of the week and times of day.
4. Navigate to the discussion topic and respond to the following discussion prompts:
   1. Post your completed WeeklyTime (Excel) file.
   2. Based on the time budget, where can you find time for study or spending time with the Lord?

Complete activities in MindTap for Chapters 1 and 2.

–

Mastery Training (terms)

Problem Set (concepts and procedures)

End of Chapter (problems)

*For both, Chapters 1 and 2.