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Find the focus and directrix of the parabola whose rectangular equation is y^2= -12(x-3)
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Module 04 Homework
The Module 04 Homework assignment covers Chapter 9; Inferences from
Two Samples. This chapter provides you with importan ...
Module 04 Homework
The Module 04 Homework assignment covers Chapter 9; Inferences from
Two Samples. This chapter provides you with important concepts for
testing a hypothesis about a population mean, population proportion, and
population standard deviation/variance for two samples.For the Module 04 Homework, please download the Microsoft Word
document using the link below and follow the directions included in the
assignment. Module 04 Homework assignment
29/200 donors have hypertension - confidence and proportion based on this data:
During a blood-donor program conducted during finals week for college students, a blood-pressure reading is taken first, r ...
29/200 donors have hypertension - confidence and proportion based on this data:
During a blood-donor program conducted during finals week for college students, a blood-pressure reading is taken first, revealing that out of 200 donors, 29 have hypertension. All answers to three places after the decimal. (I did most of these questions already, there are just a few I cannot solve. I starred the ones I have not solved and put the answers next to the question that I already answered. I only really need 2 out of 9. A 95% confidence interval for the true proportion of college students with hypertension during finals week is (____,____). (0.096, 0.1938)We can be 80% confident that the true proportion of college students with hypertension during finals week is (_____) with a margin of error of (_____). (0.145, 0.03187)Unless our sample (of 200 donors) is among the most unusual 10% of samples, the true proportion of college students with hypertension during finals week is between (_____) and (_____). (0.104, 0.186)The probability, at 60% confidence, that a given college donor will have hypertension during finals week is (_____) with a margin of error of (_____). (0.145, 0.210)* Assuming our sample of donors is among the most typical half of such samples, the true proportion of college students with hypertension during finals week is between (______) and (______). (not sure) *We are 99% confident that the true proportion of college students with hypertension during finals week is (_____) with a margin of error of (_____). (0.145, 0.064)Assuming our sample of donors is among the most typical 99.9% of such samples, the true proportion of college students with hypertension during finals week is (_____) and (_____). (0.063, 0.227)* Covering the worst-case scenario, how many donors must we examine in order to be 95% confident that we have the margin of error as small as 0.01? (_____). (not sure) *Using a prior estimate of 15% of college-age students having hypertension, how many donors must we examine in order to be 99% confident that we have the margin of error as small as 0.01? (_____). (8,487)
University of the Cumberlands Inferential Statistics in Decision Making Problem
Janice is a production manager for a company that designs and produces hydraulic valves that are used in aircraft systems. ...
University of the Cumberlands Inferential Statistics in Decision Making Problem
Janice is a production manager for a company that designs and produces hydraulic valves that are used in aircraft systems. The company is concerned that the number of valves not meeting the strict measurement parameters has incereased over the past several months. She implements a quality control program that includes random inspections. Employees are notified that these inspections will help the company to reduce expenses from poor product quality. Janice runs the program for 9 months and performs a different number of inspection each month. The table below shows the number of inspections and the number of faulty hydraulic valves produced each month.
InspectionsNumber of faulty valves6541196477985313766
Run the analysis and answer the following questions:
1. Does the number of inspections result in fewer faulty valves? (Run the analysis and report the results)
2. What decision should Janice make regarding the quality control inspections?
How do I go about creating this spreadsheet for Statistics?
I have a statistics end of the semester project. I have attached the rubric, instructions, and the data used to create the ...
How do I go about creating this spreadsheet for Statistics?
I have a statistics end of the semester project. I have attached the rubric, instructions, and the data used to create the project. I expect this to be done and completed to its entirety in one week.
STAT 400University of Maryland Programming Language R Exam Practice
# 1. Monty-Hall Three doors Recall the Monty-Hall game with three doors, discussed in class. Run a simulation to check tha ...
STAT 400University of Maryland Programming Language R Exam Practice
# 1. Monty-Hall Three doors Recall the Monty-Hall game with three doors, discussed in class. Run a simulation to check that the probablility of winning increases to 2/3 if we switch doors at step two.Set up the experiment two functions "monty_3doors_noswitch" and "monty_3doors_switch" (these functions will have no input values):```{r}monty_3doors_noswitch <- function(){}monty_3doors_switch <- function(){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.Compare your answers with the actual theoretical predictions. ```{r}```# 2: Monty-Hall with Ten doors.Repeat the Monty Hall experiment now with 10 doors. Recall the game is as follows: Step 1: you choose one door at random.Step 2: Monty opens 8 (out of 9 doors) that do not have the prize. Step 3: you either switch or don't switch. Set up the experiment two functions "monty_10doors_noswitch" and "monty_10doors_switch" (these functions will have no input values):```{r}monty_10doors_noswitch <- function(){}monty_10doors_switch <- function(){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.Compare your answers with the actual theoretical predictions. ```{r}```# 3. Monty-Hall 10-doors (modified).Consider the following modified Monty-Hall game with 10 doors. Step 1: you choose one door at random.Step 2: Monty opens 7 (out of 9 doors) that do not have the prize. Step 3: you either stick with your original choice, or choose between one of the two unopened doors. Set up the experiment two functions "monty_10doors_mod_noswitch" and "monty_10doors_mod_switch" (these functions will have no input values):```{r}monty_10doors_mod_noswitch <- function(){}monty_10doors_mod_switch <- function(){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.The computation of the theoretical probability in this case might not be completely obvious, however, use your empirical probability to make a guess. ```{r}```Not for submission: Play with this modified setup, for example Monty opens 6 doors at step 2 etc. # 4. BONUS: Monty Hall with n-doors.Repeat the Monty Hall experiment now with n doors. Recall the game is as follows: Step 1: you choose one door at random.Step 2: Monty opens n-2 (out of n-1 doors) that do not have the prize. Step 3: you either switch or don't switch. Set up the experiment two functions "monty_10doors_noswitch" and "monty_10doors_switch" (these functions will have input value as n):```{r}monty_ndoors_noswitch <- function(n){}monty_ndoors_switch <- function(n){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.Compare your answers with the actual theoretical predictions.```{r}```
finance w4
Complete the Chapter 9 Minicase on page 411 in your textbook. After reading the case, you will complete questions A throug ...
finance w4
Complete the Chapter 9 Minicase on page 411 in your textbook. After reading the case, you will complete questions A through D only. In addition to your textbook, please provide at least two scholarly sources to support your answers.Business School Assignment InstructionsThe requirements below must be met for your paper to be accepted and graded:Write between 750 – 1,250 words (approximately 3 – 5 pages) using Microsoft Word in APA style, see example below.Use font size 12 and 1” margins.Include cover page and reference page.At least 80% of your paper must be original content/writing.No more than 20% of your content/information may come from references.Use at least three references from outside the course material; one reference must be from EBSCOhost. Text book, lectures, and other materials in the course may be used, but are not counted toward the three reference requirement.Cite all reference material (data, dates, graphs, quotes, paraphrased words, values, etc.) in the paper and list on a reference page in APA style.References must come from sources such as scholarly journals found in EBSCOhost or on Google Scholar, government websites and publications, reputable news media (e.g. CNN , The Wall Street Journal, The New York Times) websites and publications, etc. Sources such as Wikis, Yahoo Answers, eHow, blogs, etc. are not acceptable for academic writing.
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Module 04 Homework
The Module 04 Homework assignment covers Chapter 9; Inferences from
Two Samples. This chapter provides you with importan ...
Module 04 Homework
The Module 04 Homework assignment covers Chapter 9; Inferences from
Two Samples. This chapter provides you with important concepts for
testing a hypothesis about a population mean, population proportion, and
population standard deviation/variance for two samples.For the Module 04 Homework, please download the Microsoft Word
document using the link below and follow the directions included in the
assignment. Module 04 Homework assignment
29/200 donors have hypertension - confidence and proportion based on this data:
During a blood-donor program conducted during finals week for college students, a blood-pressure reading is taken first, r ...
29/200 donors have hypertension - confidence and proportion based on this data:
During a blood-donor program conducted during finals week for college students, a blood-pressure reading is taken first, revealing that out of 200 donors, 29 have hypertension. All answers to three places after the decimal. (I did most of these questions already, there are just a few I cannot solve. I starred the ones I have not solved and put the answers next to the question that I already answered. I only really need 2 out of 9. A 95% confidence interval for the true proportion of college students with hypertension during finals week is (____,____). (0.096, 0.1938)We can be 80% confident that the true proportion of college students with hypertension during finals week is (_____) with a margin of error of (_____). (0.145, 0.03187)Unless our sample (of 200 donors) is among the most unusual 10% of samples, the true proportion of college students with hypertension during finals week is between (_____) and (_____). (0.104, 0.186)The probability, at 60% confidence, that a given college donor will have hypertension during finals week is (_____) with a margin of error of (_____). (0.145, 0.210)* Assuming our sample of donors is among the most typical half of such samples, the true proportion of college students with hypertension during finals week is between (______) and (______). (not sure) *We are 99% confident that the true proportion of college students with hypertension during finals week is (_____) with a margin of error of (_____). (0.145, 0.064)Assuming our sample of donors is among the most typical 99.9% of such samples, the true proportion of college students with hypertension during finals week is (_____) and (_____). (0.063, 0.227)* Covering the worst-case scenario, how many donors must we examine in order to be 95% confident that we have the margin of error as small as 0.01? (_____). (not sure) *Using a prior estimate of 15% of college-age students having hypertension, how many donors must we examine in order to be 99% confident that we have the margin of error as small as 0.01? (_____). (8,487)
University of the Cumberlands Inferential Statistics in Decision Making Problem
Janice is a production manager for a company that designs and produces hydraulic valves that are used in aircraft systems. ...
University of the Cumberlands Inferential Statistics in Decision Making Problem
Janice is a production manager for a company that designs and produces hydraulic valves that are used in aircraft systems. The company is concerned that the number of valves not meeting the strict measurement parameters has incereased over the past several months. She implements a quality control program that includes random inspections. Employees are notified that these inspections will help the company to reduce expenses from poor product quality. Janice runs the program for 9 months and performs a different number of inspection each month. The table below shows the number of inspections and the number of faulty hydraulic valves produced each month.
InspectionsNumber of faulty valves6541196477985313766
Run the analysis and answer the following questions:
1. Does the number of inspections result in fewer faulty valves? (Run the analysis and report the results)
2. What decision should Janice make regarding the quality control inspections?
How do I go about creating this spreadsheet for Statistics?
I have a statistics end of the semester project. I have attached the rubric, instructions, and the data used to create the ...
How do I go about creating this spreadsheet for Statistics?
I have a statistics end of the semester project. I have attached the rubric, instructions, and the data used to create the project. I expect this to be done and completed to its entirety in one week.
STAT 400University of Maryland Programming Language R Exam Practice
# 1. Monty-Hall Three doors Recall the Monty-Hall game with three doors, discussed in class. Run a simulation to check tha ...
STAT 400University of Maryland Programming Language R Exam Practice
# 1. Monty-Hall Three doors Recall the Monty-Hall game with three doors, discussed in class. Run a simulation to check that the probablility of winning increases to 2/3 if we switch doors at step two.Set up the experiment two functions "monty_3doors_noswitch" and "monty_3doors_switch" (these functions will have no input values):```{r}monty_3doors_noswitch <- function(){}monty_3doors_switch <- function(){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.Compare your answers with the actual theoretical predictions. ```{r}```# 2: Monty-Hall with Ten doors.Repeat the Monty Hall experiment now with 10 doors. Recall the game is as follows: Step 1: you choose one door at random.Step 2: Monty opens 8 (out of 9 doors) that do not have the prize. Step 3: you either switch or don't switch. Set up the experiment two functions "monty_10doors_noswitch" and "monty_10doors_switch" (these functions will have no input values):```{r}monty_10doors_noswitch <- function(){}monty_10doors_switch <- function(){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.Compare your answers with the actual theoretical predictions. ```{r}```# 3. Monty-Hall 10-doors (modified).Consider the following modified Monty-Hall game with 10 doors. Step 1: you choose one door at random.Step 2: Monty opens 7 (out of 9 doors) that do not have the prize. Step 3: you either stick with your original choice, or choose between one of the two unopened doors. Set up the experiment two functions "monty_10doors_mod_noswitch" and "monty_10doors_mod_switch" (these functions will have no input values):```{r}monty_10doors_mod_noswitch <- function(){}monty_10doors_mod_switch <- function(){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.The computation of the theoretical probability in this case might not be completely obvious, however, use your empirical probability to make a guess. ```{r}```Not for submission: Play with this modified setup, for example Monty opens 6 doors at step 2 etc. # 4. BONUS: Monty Hall with n-doors.Repeat the Monty Hall experiment now with n doors. Recall the game is as follows: Step 1: you choose one door at random.Step 2: Monty opens n-2 (out of n-1 doors) that do not have the prize. Step 3: you either switch or don't switch. Set up the experiment two functions "monty_10doors_noswitch" and "monty_10doors_switch" (these functions will have input value as n):```{r}monty_ndoors_noswitch <- function(n){}monty_ndoors_switch <- function(n){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.Compare your answers with the actual theoretical predictions.```{r}```
finance w4
Complete the Chapter 9 Minicase on page 411 in your textbook. After reading the case, you will complete questions A throug ...
finance w4
Complete the Chapter 9 Minicase on page 411 in your textbook. After reading the case, you will complete questions A through D only. In addition to your textbook, please provide at least two scholarly sources to support your answers.Business School Assignment InstructionsThe requirements below must be met for your paper to be accepted and graded:Write between 750 – 1,250 words (approximately 3 – 5 pages) using Microsoft Word in APA style, see example below.Use font size 12 and 1” margins.Include cover page and reference page.At least 80% of your paper must be original content/writing.No more than 20% of your content/information may come from references.Use at least three references from outside the course material; one reference must be from EBSCOhost. Text book, lectures, and other materials in the course may be used, but are not counted toward the three reference requirement.Cite all reference material (data, dates, graphs, quotes, paraphrased words, values, etc.) in the paper and list on a reference page in APA style.References must come from sources such as scholarly journals found in EBSCOhost or on Google Scholar, government websites and publications, reputable news media (e.g. CNN , The Wall Street Journal, The New York Times) websites and publications, etc. Sources such as Wikis, Yahoo Answers, eHow, blogs, etc. are not acceptable for academic writing.
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