Description
Sam has a savings account that increased in value over a twelve month period from $8,765.00 to $9,006.04. He made no deposits or withdrawals in that time. What annual percent interest did he receive for the 12 month period?
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
Review
Review
Anonymous
Great content here. Definitely a returning customer.
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
27 pages
Deliverable 4 Spring 2020 2 1
Adult Basic and Secondary Education and Literacy Teachers and Instructors Agents and Business Managers of Artists, Perform ...
Deliverable 4 Spring 2020 2 1
Adult Basic and Secondary Education and Literacy Teachers and Instructors Agents and Business Managers of Artists, Performers, and Athletes Control ...
7 pages
The Beverage Industry
Beverage companies are many in the industry but the choice of brand determines the market. An example of a has maintained ...
The Beverage Industry
Beverage companies are many in the industry but the choice of brand determines the market. An example of a has maintained its clients worldwide ...
CJA 335 UP Difference Between Correlation and Causation Research Paper
Write a 700- to 1050-word paper in which you:Differentiate between correlation and causation.Explain how each is calculate ...
CJA 335 UP Difference Between Correlation and Causation Research Paper
Write a 700- to 1050-word paper in which you:Differentiate between correlation and causation.Explain how each is calculated or tested.What is statistical significance and how does it relate to correlation?Describe how they are used in decision and policy making. Provide examples to illustrate your understanding.Include at least two references.Format your paper consistent with APA guidelines.
2-2 SCENARIO ANALYSIS: STOCK OPTIONS, statistics homework help
2-2 Scenario Analysis: Stock OptionsAs a financial advisor, you are assigned a new client who is considering investing in ...
2-2 SCENARIO ANALYSIS: STOCK OPTIONS, statistics homework help
2-2 Scenario Analysis: Stock OptionsAs a financial advisor, you are assigned a new client who is considering investing in one of two stocks, A or B. The table below shows information about the performance of stocks A and B last year.
ReturnStandard DeviationStock A15 %8.3%Stock B14%2.1%
As a financial advisor, are there factors other than return and risk that should be considered in making this decision?Based on these factors, what stock would you recommend to the client?What reasons will you convey to your client to justify your decision in recommending this stock?How will this recommendation impact the client?Knowledge of statistics is important foundational knowledge for analyzing data. Equally important is what you can do with that information. An overarching goal
of this course is to consider how statistics informs decision making, or data-based decision making. Throughout this course, you will be asked to make decisions
and then to consider the impact of those choices. Whether in stock trading, in car sales, or on the production floor, the decisions you make as a business
professional should be directly influenced by the data available to you. Careful analysis is the key to data-Specifically, the following critical elements must be addressed:
I. Main Elements
II. Integration and Application
III. Analysis
IV. Critical Thinking
Guidelines for Submission: Your analysis of the scenario must be submitted as a 1- to 2-page Microsoft Word document with double spacing and 12-point Times
New Roman font.
Probability and Inferential Statistics Analysis
1. A patient is classified as having gestational diabetes if their glucose level is above 140 milligrams per deciliter (mg ...
Probability and Inferential Statistics Analysis
1. A patient is classified as having gestational diabetes if their glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drink is ingested. Rebecca's doctor is concerned that she may suffer from gestational diabetes. There is variation both in the actual glucose level and in the blood test that measures the level. Rebecca's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with ?= 140+X mg/dl and ? = X+1 mg/dl, where X is the last digit of your GCU student ID number. What is the probability of Rebecca being diagnosed with gestational diabetes if her glucose level is measured:
Once?
X+1 times, where X is the last digit of your student ID?
X+4 times, where X is the last digit of your student ID?
Comment on the relationship between the probabilities observed in (a), (b), and (c). Explain, using concepts from lecture why this occurs and what it means in context.
2. Suppose next that we have even less knowledge of our patient, and we are only given the accuracy of the blood test and prevalence of the disease in our population. We are told that the blood test is 9X percent reliable, gestational diabetes affects X+1 percent of the population in our patient’s age group, and that our test has a false positive rate of X+4 percent. Compute the following quantities based on this new information:
If 100,000 people take the blood test, how many people that test positive will actually have gestational diabetes?
What is the probability of having the disease given that you test positive?
If 100,000 people take the blood test, how many people that test negative despite actually having gestational diabetes?
What is the probability of having the disease given that you tested negative?
Comment on what you observe in the above computations. How does the prevalence of the disease affect whether the test can be trusted?
3. As we have seen in class, hypothesis testing and confidence intervals are the most common inferential tools used in statistics. Imagine that you have been tasked with designing an experiment to determine reliably if a patient should be diagnosed with diabetes based on their blood test results. Create a short outline of your experiment, including all of the following:
A detailed discussion of your experimental design.
How is randomization used in your sampling or assignment strategy?
The type of inferential test utilized in your experiment.
A formal statement of the null and alternative hypothesis for your test.
A confidence interval for estimating the parameter in your test.
An interpretation of your p-value and confidence interval, including what they mean in context of your experimental design
Similar Content
MATH 1300 Wayland Baptist University Linear Algebra Questionnaire
...
Help with Algebra Word Problem
The breaking strength (in pounds) of a certain new synthetic is distributed, with a mean of 195 and a variance of 25. If t...
Discrete Mathematics and Statistics
Design the combinatorial circuit for: (p’ *r) + q...
UTC Approximate and Exact Areas Under Curves Discussion
...
Use Gaussian elimination to find the complete solution to the following system o
Use Gaussian elimination to find the complete solution to the following system of equations, or show that none exists. 2w ...
Quantitavtive Methods Worksheet
...
Visual Arguments In Methods Of Persuasion.edited
One of the effective and persuasive commercials that I watched is the 2020 Ford Explorer: The Unknown | Explorer | Ford fr...
mathematician George Boole
George Boole was a well-known mathematician. He was born in Lincoln, Lincolnshire, England on November 2, 1815 and died on...
Sampling 20measures
The samples selected were based on the sampling approaches above, namely simple random sampling and stratified sampling. F...
Related Tags
Book Guides
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
27 pages
Deliverable 4 Spring 2020 2 1
Adult Basic and Secondary Education and Literacy Teachers and Instructors Agents and Business Managers of Artists, Perform ...
Deliverable 4 Spring 2020 2 1
Adult Basic and Secondary Education and Literacy Teachers and Instructors Agents and Business Managers of Artists, Performers, and Athletes Control ...
7 pages
The Beverage Industry
Beverage companies are many in the industry but the choice of brand determines the market. An example of a has maintained ...
The Beverage Industry
Beverage companies are many in the industry but the choice of brand determines the market. An example of a has maintained its clients worldwide ...
CJA 335 UP Difference Between Correlation and Causation Research Paper
Write a 700- to 1050-word paper in which you:Differentiate between correlation and causation.Explain how each is calculate ...
CJA 335 UP Difference Between Correlation and Causation Research Paper
Write a 700- to 1050-word paper in which you:Differentiate between correlation and causation.Explain how each is calculated or tested.What is statistical significance and how does it relate to correlation?Describe how they are used in decision and policy making. Provide examples to illustrate your understanding.Include at least two references.Format your paper consistent with APA guidelines.
2-2 SCENARIO ANALYSIS: STOCK OPTIONS, statistics homework help
2-2 Scenario Analysis: Stock OptionsAs a financial advisor, you are assigned a new client who is considering investing in ...
2-2 SCENARIO ANALYSIS: STOCK OPTIONS, statistics homework help
2-2 Scenario Analysis: Stock OptionsAs a financial advisor, you are assigned a new client who is considering investing in one of two stocks, A or B. The table below shows information about the performance of stocks A and B last year.
ReturnStandard DeviationStock A15 %8.3%Stock B14%2.1%
As a financial advisor, are there factors other than return and risk that should be considered in making this decision?Based on these factors, what stock would you recommend to the client?What reasons will you convey to your client to justify your decision in recommending this stock?How will this recommendation impact the client?Knowledge of statistics is important foundational knowledge for analyzing data. Equally important is what you can do with that information. An overarching goal
of this course is to consider how statistics informs decision making, or data-based decision making. Throughout this course, you will be asked to make decisions
and then to consider the impact of those choices. Whether in stock trading, in car sales, or on the production floor, the decisions you make as a business
professional should be directly influenced by the data available to you. Careful analysis is the key to data-Specifically, the following critical elements must be addressed:
I. Main Elements
II. Integration and Application
III. Analysis
IV. Critical Thinking
Guidelines for Submission: Your analysis of the scenario must be submitted as a 1- to 2-page Microsoft Word document with double spacing and 12-point Times
New Roman font.
Probability and Inferential Statistics Analysis
1. A patient is classified as having gestational diabetes if their glucose level is above 140 milligrams per deciliter (mg ...
Probability and Inferential Statistics Analysis
1. A patient is classified as having gestational diabetes if their glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drink is ingested. Rebecca's doctor is concerned that she may suffer from gestational diabetes. There is variation both in the actual glucose level and in the blood test that measures the level. Rebecca's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with ?= 140+X mg/dl and ? = X+1 mg/dl, where X is the last digit of your GCU student ID number. What is the probability of Rebecca being diagnosed with gestational diabetes if her glucose level is measured:
Once?
X+1 times, where X is the last digit of your student ID?
X+4 times, where X is the last digit of your student ID?
Comment on the relationship between the probabilities observed in (a), (b), and (c). Explain, using concepts from lecture why this occurs and what it means in context.
2. Suppose next that we have even less knowledge of our patient, and we are only given the accuracy of the blood test and prevalence of the disease in our population. We are told that the blood test is 9X percent reliable, gestational diabetes affects X+1 percent of the population in our patient’s age group, and that our test has a false positive rate of X+4 percent. Compute the following quantities based on this new information:
If 100,000 people take the blood test, how many people that test positive will actually have gestational diabetes?
What is the probability of having the disease given that you test positive?
If 100,000 people take the blood test, how many people that test negative despite actually having gestational diabetes?
What is the probability of having the disease given that you tested negative?
Comment on what you observe in the above computations. How does the prevalence of the disease affect whether the test can be trusted?
3. As we have seen in class, hypothesis testing and confidence intervals are the most common inferential tools used in statistics. Imagine that you have been tasked with designing an experiment to determine reliably if a patient should be diagnosed with diabetes based on their blood test results. Create a short outline of your experiment, including all of the following:
A detailed discussion of your experimental design.
How is randomization used in your sampling or assignment strategy?
The type of inferential test utilized in your experiment.
A formal statement of the null and alternative hypothesis for your test.
A confidence interval for estimating the parameter in your test.
An interpretation of your p-value and confidence interval, including what they mean in context of your experimental design
Earn money selling
your Study Documents