What is the correct order of operations and the answer to this problem: two plus three times seven.
User Generated
ynfvyin
Mathematics
Description
What is the correct order of operations and the answer to this problem: two plus three times seven.
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
This question has not been answered.
Create a free account to get help with this and any other question!
24/7 Study Help
Stuck on a study question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
1 page
Hypothesis Testing
Describe a hypothesis test study that would help your work or conclusions in some way. Describe what variable would be tes ...
Hypothesis Testing
Describe a hypothesis test study that would help your work or conclusions in some way. Describe what variable would be tested and what would be your ...
Bellevue University Calculating Sell Thru and Penetration Sell Thru Questions
Calculating Sell Thru allows businesses and managers to determine the percentage of units sold compared to the total am ...
Bellevue University Calculating Sell Thru and Penetration Sell Thru Questions
Calculating Sell Thru allows businesses and managers to determine the percentage of units sold compared to the total amount originally on hand.Calculating Penetration of product styles, product types, vendors, etc., allows managers to identify and reorder best sellers, and to take action to address slow-selling, less-profitable products. What ultimately influences results are the actions that businesses take, based on analysis of the information gathered from the data and the thought processes used to make decisions.Scenario A:The buyer ordered 1,200 units of seasonal garden items and planned for a 35% sell thru in the first month.All 1,200 units were received in the stores 4 weeks ago.Of the 1,200 units, the sell thru on garden hoses was the highest and the stores in warmer climates sold more garden hoses during the first four weeks.The current inventory report shows 400 units of the seasonal garden items on hand.Scenario B: The buyer ordered the garden hoses from several different vendors.Vendor A - $90,500 in salesVendor B - $80,000 in salesVendor C - $40,000 in salesThe total garden hose category had $400,000 in sales for the quarter.Instructions:Use the information in the scenarios provided above to answer the following questions:
Scenario A: Calculate the sell thru of seasonal garden items in the scenario and include your calculations in your answer.Scenario A: Analyze the scenario in order to provide justification when answering the following questions:Is sell thru "good" or "bad", as compared to the buyer's plan?What can the sell thru data tell the buyer?How should the buyer respond to the sell thru data?Why is it important to know which stores are trending up/down in seasonal garden item sales?Scenario B: Calculate the penetration in dollars for each of the vendors and include your calculations in your answer.Scenario B: Analyze the scenario in order to provide justification when answering the following questions:What is each vendor's dollar penetration rate (percentage) and what can the penetration rate for each vendor tell the buyer?Considering the available information, what recommendations would you make regarding reorders for each of the vendors?What other information would you need about the garden hoses and/or vendors to allow you to make wise decisions on reorders?Summarize the results of your analysis of the two scenarios to explain the importance of using sell thru and penetration calculations to aid in managerial decision-making. Justify your explanation.Compose your answers with a minimum of one paragraph per question (a - e), for a minimum of 5 paragraphs total.Research and use at least one additional outside source to support your recommendations
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}```
Consider your dissertation research interests, homework help
DQ 1 Consider your dissertation research interests. Identify one categorical/nominal scale IV with more than 2 cate ...
Consider your dissertation research interests, homework help
DQ 1 Consider your dissertation research interests. Identify one categorical/nominal scale IV with more than 2 categories, and three DVs that are measured on continuous scales. Think of DV measures that probably are moderately correlated with each other because they are measuring different components of the same or similar concepts (e.g., three different measures of academic performance). What information would a one-way MANOVA provide you? What more would you want to know if you get significant results in the MANOVA? Why would this be significant to your research? Research support (Citations or references)are not required for this question. DQ 2 Using the DC Network, locate information about the 10 Strategic Points, the Prospectus template, the Proposal template, and the Dissertation template. What is the purpose of each of these documents? How do you anticipate interacting with these documents? Explain. 10 Strategic Points: Prospectus template: Proposal template: Dissertation template: References
Week 5: Lab
Steps to Complete Week 5 Lab
Use the Weeks 3 and 5 spreadsheets from the Weeks 3 and 5 Lessons to help you answer the ques ...
Week 5: Lab
Steps to Complete Week 5 Lab
Use the Weeks 3 and 5 spreadsheets from the Weeks 3 and 5 Lessons to help you answer the questions below.
Step 1: Your instructor will provide you with 10 values to use for this lab.
Gather 10 MORE of your own to add to the 10 provided by your instructor. Do the following:
Survey or measure 10 people to find their heights. Determine the mean and standard deviation for the 20 values by using the Week 3 Excel spreadsheet. Post a screen shot of the portion of the spreadsheet that helped you determine these values. How does your height compare to the mean (average) height of the 20 values? Is your height taller, shorter, or the same as the mean of the sample?
Note: The following image is just an example. They are NOT the values you should be using for your lab. Your instructor should have sent you our data values for your Week 5 Lab. Please reach out to your instructor if you do not have your data values.
Data Example of 10 people with different heights(your spreadsheet will have 20 values—10 from your instructor and 10 from your own data gathering).Step 2: Give some background information on the group of people you used in your study. You might consider using the following questions to guide your answer.
How did you choose the participants for your study? What was the sampling method: systematic, convenience, cluster, stratified, simple random?
What part of the country did your study take place in?
What are the age ranges of your participants?
How many of each gender did you have in your study?
What are other interesting factors about your group?
Step 3: Use the Week 5 Excel spreadsheet for the following.
(Use the Empirical Rule tab from the spreadsheet). Determine the 68%, 95%, and 99.7% values of the Empirical Rule in terms of the 20 heights in your height study.
What do these values tell you?
Post a screen shot of your work from the Week 5 Excel spreadsheet.
(Use the normal probability tab from the spreadsheet). Based on your study results, what percent of the study participants are shorter than you? What percent are taller than you?
Post a screen shot of your work from the Week 5 Excel spreadsheet.
Example: If my height is 73 inches, then 20.86% of the relevant population is shorter. The other 79.14%, of course, is taller.
Step 4: Be sure your name is on the Word document, save it, and then submit it under "Assignments" and "Week 5: Lab".
Similar Content
Need help with math
Need help with a math problem asap...
Mathematic
Math3.docx...
Multipe choice Questions
I need solution for 10 MCQ's...
Statistics
I need help with several homework assignments and 1 final exam for statistics. I'm going to offer $100 for all and once my...
The Traveling Salesman Problem
Some problems in mathematics can be stated very simply but may involve complex solutions. One of the most famous of the...
Roots of polynomials function
Write three statements about roots of polynomials. Two of the statements should agree with each other. The third state...
Related Tags
Book Guides
The Age of Innocence
by Edith Wharton
Hiroshima
by John Hersey
The Russian Hoax
by Gregg Jarrett
The Life-Changing Magic of Tidying Up
by Marie Kondo
Unf*ck Yourself
by Gary John Bishop
Becoming
by Michelle Obama
The Underground Railroad
by Colson Whitehead
Daisy Miller
by Henry James
The Age Of Light
by Whitney Scharer
Get 24/7
Study help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
1 page
Hypothesis Testing
Describe a hypothesis test study that would help your work or conclusions in some way. Describe what variable would be tes ...
Hypothesis Testing
Describe a hypothesis test study that would help your work or conclusions in some way. Describe what variable would be tested and what would be your ...
Bellevue University Calculating Sell Thru and Penetration Sell Thru Questions
Calculating Sell Thru allows businesses and managers to determine the percentage of units sold compared to the total am ...
Bellevue University Calculating Sell Thru and Penetration Sell Thru Questions
Calculating Sell Thru allows businesses and managers to determine the percentage of units sold compared to the total amount originally on hand.Calculating Penetration of product styles, product types, vendors, etc., allows managers to identify and reorder best sellers, and to take action to address slow-selling, less-profitable products. What ultimately influences results are the actions that businesses take, based on analysis of the information gathered from the data and the thought processes used to make decisions.Scenario A:The buyer ordered 1,200 units of seasonal garden items and planned for a 35% sell thru in the first month.All 1,200 units were received in the stores 4 weeks ago.Of the 1,200 units, the sell thru on garden hoses was the highest and the stores in warmer climates sold more garden hoses during the first four weeks.The current inventory report shows 400 units of the seasonal garden items on hand.Scenario B: The buyer ordered the garden hoses from several different vendors.Vendor A - $90,500 in salesVendor B - $80,000 in salesVendor C - $40,000 in salesThe total garden hose category had $400,000 in sales for the quarter.Instructions:Use the information in the scenarios provided above to answer the following questions:
Scenario A: Calculate the sell thru of seasonal garden items in the scenario and include your calculations in your answer.Scenario A: Analyze the scenario in order to provide justification when answering the following questions:Is sell thru "good" or "bad", as compared to the buyer's plan?What can the sell thru data tell the buyer?How should the buyer respond to the sell thru data?Why is it important to know which stores are trending up/down in seasonal garden item sales?Scenario B: Calculate the penetration in dollars for each of the vendors and include your calculations in your answer.Scenario B: Analyze the scenario in order to provide justification when answering the following questions:What is each vendor's dollar penetration rate (percentage) and what can the penetration rate for each vendor tell the buyer?Considering the available information, what recommendations would you make regarding reorders for each of the vendors?What other information would you need about the garden hoses and/or vendors to allow you to make wise decisions on reorders?Summarize the results of your analysis of the two scenarios to explain the importance of using sell thru and penetration calculations to aid in managerial decision-making. Justify your explanation.Compose your answers with a minimum of one paragraph per question (a - e), for a minimum of 5 paragraphs total.Research and use at least one additional outside source to support your recommendations
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}```
Consider your dissertation research interests, homework help
DQ 1 Consider your dissertation research interests. Identify one categorical/nominal scale IV with more than 2 cate ...
Consider your dissertation research interests, homework help
DQ 1 Consider your dissertation research interests. Identify one categorical/nominal scale IV with more than 2 categories, and three DVs that are measured on continuous scales. Think of DV measures that probably are moderately correlated with each other because they are measuring different components of the same or similar concepts (e.g., three different measures of academic performance). What information would a one-way MANOVA provide you? What more would you want to know if you get significant results in the MANOVA? Why would this be significant to your research? Research support (Citations or references)are not required for this question. DQ 2 Using the DC Network, locate information about the 10 Strategic Points, the Prospectus template, the Proposal template, and the Dissertation template. What is the purpose of each of these documents? How do you anticipate interacting with these documents? Explain. 10 Strategic Points: Prospectus template: Proposal template: Dissertation template: References
Week 5: Lab
Steps to Complete Week 5 Lab
Use the Weeks 3 and 5 spreadsheets from the Weeks 3 and 5 Lessons to help you answer the ques ...
Week 5: Lab
Steps to Complete Week 5 Lab
Use the Weeks 3 and 5 spreadsheets from the Weeks 3 and 5 Lessons to help you answer the questions below.
Step 1: Your instructor will provide you with 10 values to use for this lab.
Gather 10 MORE of your own to add to the 10 provided by your instructor. Do the following:
Survey or measure 10 people to find their heights. Determine the mean and standard deviation for the 20 values by using the Week 3 Excel spreadsheet. Post a screen shot of the portion of the spreadsheet that helped you determine these values. How does your height compare to the mean (average) height of the 20 values? Is your height taller, shorter, or the same as the mean of the sample?
Note: The following image is just an example. They are NOT the values you should be using for your lab. Your instructor should have sent you our data values for your Week 5 Lab. Please reach out to your instructor if you do not have your data values.
Data Example of 10 people with different heights(your spreadsheet will have 20 values—10 from your instructor and 10 from your own data gathering).Step 2: Give some background information on the group of people you used in your study. You might consider using the following questions to guide your answer.
How did you choose the participants for your study? What was the sampling method: systematic, convenience, cluster, stratified, simple random?
What part of the country did your study take place in?
What are the age ranges of your participants?
How many of each gender did you have in your study?
What are other interesting factors about your group?
Step 3: Use the Week 5 Excel spreadsheet for the following.
(Use the Empirical Rule tab from the spreadsheet). Determine the 68%, 95%, and 99.7% values of the Empirical Rule in terms of the 20 heights in your height study.
What do these values tell you?
Post a screen shot of your work from the Week 5 Excel spreadsheet.
(Use the normal probability tab from the spreadsheet). Based on your study results, what percent of the study participants are shorter than you? What percent are taller than you?
Post a screen shot of your work from the Week 5 Excel spreadsheet.
Example: If my height is 73 inches, then 20.86% of the relevant population is shorter. The other 79.14%, of course, is taller.
Step 4: Be sure your name is on the Word document, save it, and then submit it under "Assignments" and "Week 5: Lab".
Earn money selling
your Study Documents