Tag: Mathematics

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

You will have to complete a sample essay on one of the two topics. It should contain 275-350 words, and be formatted according to the indicated formatting style. The file with your sample essay should be uploaded in doc / docx / pdf format (no handwritten essays are accepted).

My instructor said what I did is incorrect for week two assignment and he said I can revised it. So this is will be a revision. I will attached the one I did and please email me when you are ready for the instructions and I will email it to you and instructors feedback.

format APA

1 pages ( 275 words, Double spaced

I’m working on a mathematics project and need support to help me learn.

THE ONLY INSTRUCTION:

NO direct copy pasting, must be phrased or changed, till cannot be seen it is from any given answers.

Please still make sure it’s correct (as answers given).

https://drive.google.com/drive/folders/1gBsg1GxB75…

Both questions are in the following link. you need to use excel solver to do this assignment.

Everything is attached in this link:

https://www.dropbox.com/sh/wooytl4gijf91rq/AAAB6g8…

Scenario

You have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company’s Pacific region salespeople just returned to the office with a newly designed advertisement. It states that the average cost per square foot of his home sales is above the average cost per square foot in the Pacific region. He wants you to make sure he can make that statement before approving the use of the advertisement. The average cost per square foot of his home sales is $275. In order to test his claim, you collect a sample of 1,001 home sales for the Pacific region.

Prompt

Design a hypothesis test and interpret the results using significance level α = .05.

Use the House Listing Price by Region document to help support your work on this assignment. You may also use the Descriptive Statistics in Exceland Creating Histograms in Excel tutorials for support.

Specifically, you must address the following rubric criteria, using the Module Five Assignment Template.

• Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.
  • Define your population parameter.
  • Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.
  • Specify the name of the test you will use.
    • Identify whether it is a left-tailed, right-tailed, or two-tailed test.
  • Identify your significance level.

• Data Analysis Preparations: Describe sample summary statistics, provide a histogram and summary, check assumptions, and find the test statistic and significance level.
  • Provide the descriptive statistics (sample size, mean, median, and standard deviation).
  • Provide a histogram of your sample.
  • Describe your sample by writing a sentence describing the shape, center, and spread of your sample.
  • Determine whether the conditions to perform your identified test have been met.

• Calculations: Calculate the p value, describe the p value and test statistic in regard to the normal curve graph, discuss how the p value relates to the significance level, and compare the p value to the significance level to reject or fail to reject the null hypothesis.
  • Determine the appropriate test statistic, then calculate the test statistic.
    Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean (Pacific), and the target is 275.
  • Calculate the p value.
    Note: For right-tailed, use the T.DIST.RT function in Excel, left-tailed is the T.DIST function, and two-tailed is the T.DIST.2T function. The degree of freedom is calculated by subtracting 1 from your sample size.
    Choose your test from the following:
    =T.DIST.RT([test statistic], [degree of freedom])
    =T.DIST([test statistic], [degree of freedom], 1)
    =T.DIST.2T([test statistic], [degree of freedom])
  • Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.

• Test Decision: Discuss the relationship between the p value and the significance level, including a comparison between the two, and decide to reject or fail to reject the null hypothesis.
  • Discuss how the p value relates to the significance level.
  • Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.

• Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.
  • Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.

Guidelines for Submission

Submit the completed Module Five Assignment Template as a Word document that includes your response and supportive charts.

In this course, you learned core applications of statistical analysis to solve real-world personal or professional inquiry problems. You also learned different techniques to draw conclusions from data. These experiences allowed you to practice designing an approach to a statistical problem, considering assumptions and constraints, and developing interpretations and conclusions. Think about how you felt when you first started the course and how you feel now. Reflect on what you learned in this course and the applications of statistical concepts in your personal and professional life.

In your initial discussion post, specifically address the following:

• What are some practical uses in your own life for the skills you from statistic class?
• How is data analysis changing in the world around you, including workplaces?
• How can statistics be persuasive and misleading?

In your response posts to at least two peers discuss the following:

• Do you look at statistics differently now? If so, how?
• What advice can you offer to help others make the most appropriate use of data?

I’m working on a mathematics test / quiz prep and need an explanation and answer to help me learn.

QUESTION 1

1. What is the first step to conducting a statistical study?

   		Formulate the purpose of the study
   		Define the population
   		Identify the variables
   		Interpret the results

QUESTION 2

1. Which of the following is continuous data?

   		The number of marbles in a jar
   		The number of computers per household
   		Total amount of time it takes to travel to work
   		The number of participants in a study

QUESTION 3

1. Which of the following is discrete data?

   		The number of students attending class on a given day.
   		Height of a fifth grade student
   		The interest rate charged by a local bank
   		The amount of time it takes to travel to work.

QUESTION 4

1. A scientist is studying the properties of certain common household materials and how they change with extreme temperatures. She will be collecting data on temperature (in degrees Fahrenheit). What level of measurement is she looking at?

   		Nominal
   		Ordinal
   		Ratio
   		Interval

QUESTION 5

1. Which of the following is a categorical (qualitative) variable?

   		Temperature (in degrees Fahrenheit)
   		Voting status (registered/not registered)
   		Distance in miles
   		Price of a stock

QUESTION 6

1. What is the last step of solving a statistical study?

   		Collect the data
   		Interpret the results
   		Decide what sampling method you will use to collect data
   		Identify the variables

QUESTION 7

1. A financial advisor is putting together a report on different Exchanges on which stock is traded (NYSE, AMEX, or other). What type of variable and level of measurement is the advisor using in his report?

   		Quantitative variable, ordinal variable
   		Quantitative variable, nominal variable
   		Categorical variable (qualitative), ordinal level of measurement
   		Categorical variable (qualitative), nominal level of measurement

QUESTION 8

1. A clothing store is analyzing merchandise prices to help make decisions on what to charge for clothing on clearance. The store owner collects data on the price value (in dollars) of articles of clothing that are on sale/clearance throughout the seasons. What type of variable and level of measurement the owner is looking at?

   		Quantitative variable, ordinal variable
   		Quantitative variable, ratio variable
   		Quantitative variable, interval level of measurement
   		Categorical variable (qualitative), nominal level of measurement

QUESTION 9

1. From a recent study, it was found that 10% of students travel outside of the country during spring break. Is this an example of descriptive statistics or inferential statistics?

   		descriptive statistics
   		inferential statistics

QUESTION 10

1. Which of the following is a quantitative variable?

   		Amount in fluid ounce of coffee
   		Name of a cell phone carrier
   		Occupation
   		Anxiety rating (highly anxious, moderately anxious, or relaxed)

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

After completing Units VII, I think I managed to learn how to solve linear equations involving two variables. This concept refers to a system between two equations that need to be satisfied simultaneously. Their general form can be anything such:

a1X+a2Y = m

b1X+b2Y = n

       For the system to be linear, the power of the variables must not be greater than one. If we proceed to think at the solutions (X, Y) this system might have, we need to make sure that the mathematical propositions remain true when we substitute these values into the initial equations. There are a few methods we can use to find our solutions: substitution and elimination.

       If we decide to use substitution, we should solve one of the equations for one of the variables. After that, we plug in the expression attained into the other equation. Now we have a mathematical proposition involving just one variable, which is less complicated to solve.

       When it comes to elimination, we focus on subtracting or adding the two equations – this depends on whether the coefficients are opposed or equal –, hoping to attain the same thing: an equation with one variable.

        A real-life example that I can think of – and that gave me quite some troubles when I was a child –are the problems with applicability, that contain not just numbers, but situations. In this case, we are the ones that need to create the system: figuring out the variables, coefficients, etc. But let`s take a specific example.

         Suppose we want to bake 80 sweets for a festival. For this activity, we have available 130$. For a cookie, the average price is 1$ and for a muffin is 2$. Our goal is to find the number of cookies and muffins we need to bake to satisfy both requirements.

         Solving:

         Let C be the number of cookies and M the number of muffins. According to the problem, we can form the system of equations:

C+M = 80 (number of cookies) [1]

C+2M = 130 (dollars) [2]

          Using elimination, we can subtract the first relation from the second one, obtaining:

C+2M-C-M=130-80 ó M=50

          This means we need to bake 50 muffins. Going back to the first equation we have:

C+50=80 ó C=30 (cookies)

           The solution for our problem is that we need to bake 50 muffins and 30 cookies.

I’m trying to learn for my Statistics class and I’m stuck. Can you help?

Go to: https://www.cdc.gov/DataStatistics/ (Links to an external site.)

• Choose a topic of interest in the interactive database( I CHOOSE Alcohol USE)
• Identify:
  • Current National and NYS State Data
  • Compare relevant statistics for incidence, prevalence, morbidity, mortality
  • Analyze differences and similarities
• Summarize your findings