Page 1

QNT/275T STATISTICS FOR DECISION MAKING The Latest Version A+ Study Guide

**********************************************

QNT 275T Entire Course Link http://www.uopstudy.com/QNT-275T **********************************************

QNT 275T Wk 1: Practice: Week 1 Knowledge Check

Access Connect through the McGraw-Hill Connect® Access link at the top of this course. Complete the Week 1 "Knowledge Check" in Connect ®. Note: You have unlimited attempts available to complete this practice assignment. The highest scored attempt will be recorded. These assignments have earlier due dates, so plan accordingly. Grades must be transferred manually to Blackboard by your instructor. Don't worry, this might happen after your due date.


QNT 275T Wk 1: Apply: Week 1 Connect® Exercise

Complete the Week 1 Exercise" in Connect®. Note: Look in Connect to view the number of attempts you have available to complete this assignment. Grades must be transferred manually to Blackboard by your instructor. Don't worry, this might happen after your due date.

For More Classes Please Visit

http://www.uopstudy.com/

QNT 275T Wk 2: Practice: Week 2 Knowledge Check

Access Connect through the McGraw-Hill Connect® Access link at the top of this course. Complete the Week 2 "Knowledge Check" in Connect ®. Note: You have unlimited attempts available to complete this practice assignment. The highest scored attempt will be recorded. These assignments have earlier due dates, so plan accordingly. Grades must be transferred manually to Blackboard by your instructor. Don't worry, this might happen after your due date.

QNT 275T Wk 2: Apply: Week 2 Connect® Exercise

Complete the Week 2 Exercise" in Connect®.


Note: Look in Connect to view the number of attempts you have available to complete this assignment. Grades must be transferred manually to Blackboard by your instructor. Don't worry, this might happen after your due date.

For More Classes Please Visit

http://www.uopstudy.com/

QNT 275T Wk 2 Case Study The Secret Sauce of Stats

Success Week 2 Case Study - The Secret Sauce of Stats Success In Weeks 2-5 we have a case study to complete. That sounds great and lots of fun! How can we go about making this wonderful thing happen in our lives? Easy! You FIRST do your work in excel answering problems utilizing new-found statistical knowledge. Then SECOND, you upload your excel work to get points for your successes! To upload your assignment, click on the black "view assessment" button on this screen (you may need to scroll down to see it). Isn't that awesome? In fact, is there ANY way that this could get any better? Case in point, there is! Look in the conversations area for detailed instructional posts on how to complete each part of the case study (Q1 is posted on Wednesday, Q2 is posted on Thursday, Q3 is posted on Friday and Q4 is posted on Saturday). To access the conversations area for this assignment, click on the small icon in the upper right corner of your screen that looks like a person with a square talk balloon next to its head.


It is recommended that you use it like you would a recipe. Have excel up and running as you review each step in the detailed instructional post. Create your secret sauce of statistical success by working step by step in real time. You WILL like how this secret sauce tastes. You are welcome to post questions or thoughts in this thread. To post a question or your thoughts on the case study, click on the small icon in the upper right corner of your screen that looks like a person with a square talk balloon next to its head. Week 2 Case Study Data Set _ Click the 3 Dots to the Right to Open Me ------------> Happy solving! Here are the details for our week 2 Case study: You manage the inventory for a car dealership. Data on current inventory can be found in the week 2 data set excel file. Management would like you to assess current inventory on the dealership lot. Using the Week 2 Data Set, create and calculate the following in Microsoft® Excel®: 1.

Create a pie chart which summarizes the colors of the cars in the sample. 2. Create a bar chart which summarizes the number of each of the models of cars in the sample. 3. Create a frequency table for classes of MPG, including frequency and relative frequency for the cars in the sample.

 

4. Calculate the mean Days in Inventory for the cars in the sample. Also, do the following: Compare the mean to the median and the mode. Highlight the value that would be a better representation of the "typical" price of a car in inventory. 5. Calculate the standard deviation of the Days in Inventory for the cars in the sample. 6. Calculate the 5 number summary for the suggested retail prices of the cars in the sample. This consists of the 1st, 2nd, 3rd, 4th quartile, and the IQR.


DON'T FORGET to click on the small icon in the upper right corner of your screen that looks like a person with a square talk balloon next to its head to access the conversations area for this assignment and get STEP BY STEP instructions on how to complete each of the six case study questions. Don't struggle through this alone!

For More Classes Please Visit

http://www.uopstudy.com/ QNT 275T Wk 3: Practice: Week 3 Knowledge Check

Access Connect through the McGraw-Hill Connect速 Access link at the top of this course. Complete the Week 3 "Knowledge Check" in Connect 速. Note: You have unlimited attempts available to complete this practice assignment. The highest scored attempt will be recorded. These assignments have earlier due dates, so plan accordingly. Grades must be transferred manually to Blackboard by your instructor. Don't worry, this might happen after your due date.

QNT 275T Wk 3: Apply: Week 3 Connect速 Exercise

Complete the Week 3 Exercise" in Connect速. Note: Look in Connect to view the number of attempts you have available to complete this assignment. Grades must be transferred manually to Blackboard by your instructor. Don't worry, this might happen after your due date.

For More Classes Please Visit

http://www.uopstudy.com/


QNT 275T Wk 3 Case Study MORE Super Secrets to the Secret

Sauce of Stats Success Week 3 Case Study - A BETTER Secret Sauce of Stats Success It's Week 3 and we have ANOTHER case study to complete. How do we do that? Easy! Look in the conversations area for detailed STEP by STEP instructional posts on how to complete each part of the case study (Q1 is posted on Wednesday, Q2 is posted on Thursday, Q3 is posted on Friday and Q4 is posted on Saturday). To access the conversations area for this assignment, click on the small icon in the upper right corner of your screen that looks like a person with a square talk balloon next to its head. WHEN YOU ARE COMPLETE WITH YOUR CASE STUDY, PLEASE UPLOAD IT HERE TO THE CASE STUDY ASSIGNMENT AREA by clicking on the black "view assessment" button on this screen. It is recommended that you use the case study detailed instruction posts like you would a recipe. Have excel up and running as you review each step in the detailed instructional post. Create your secret sauce of statistical success by working step by step in real time. You WILL like how this secret sauce tastes. While you are welcome to post questions or thoughts in this thread, please remember that any posts made will NOT count toward your weekly discussion grade. Happy solving! Here is the full case study for week 3: Three hundred consumers between 21 and 49 years old were randomly selected. After sampling a new wine cooler, each was asked to rate the appeal of the phrase "Not sweet like wine coolers, not filling like beer, and more refreshing than wine or mixed drinks" as it relates to the new wine cooler. The rating was made on a scale from


1 to 5, with 5 representing "extremely appealing" and 1 representing "not at all appealing." As a manager overseeing the development of the concept, you bottled the wine cooler and placed it into distribution in one test store. Your manager has asked you to assess the data and determine the most likely customer based on the ratings. Additionally, your manager would like you to review sales in the test store. Using the Week 3 Data Set, create and calculate the following in Excel®: Week 3 Case Study Data Set _ Click the 3 Dots to the Right to Open Me ------------>

     

    

 

1 Based on the following, estimate the probability that a randomly selected 21- to 49-year-old consumer: Would give the phrase a rating of 5 Would give the phrase a rating of 3 or higher Is in the 21 to 24 age group Is a male who gives the phrase a rating of 4 Is a 35- to 49-year-old who gives the phrase a rating of 1 Based on the probabilities for the ratings of 4 and 5, which age/gender demographic would be the best target audience for the new concept? 2 Create a probability distribution using the data which shows how many cartons of the wine cooler were bought per customer in a month, and do the following: Calculate the mean and the standard deviation of your probability distribution. Calculate the probability that exactly 3 six packs will be bought in a month. Calculate the probability that between 4 and 8 six packs will be bought in a month. Calculate the probability that at least 5 six packs will be bought in a month. Calculate the probability that no more than 5 six packs will be bought in a month. 3 Create a relative frequency distribution based on the wine cooler drinking temperatures, and do the following: Create 6 bins with the same interval in each. Create a histogram. 4 Considering the mean and standard deviation for the ideal drinking temperature, calculate the following:


   

The z values, then refer to Table 6.1 - Cumulative Areas Under the Standard Normal Curve The probability of the wine cooler being less than 45 degrees The probability of the wine cooler being greater than 60 degrees The percentage of wine coolers served at the ideal temperature, between 49 and 55 degrees Don't Forget, to access the STEP BY STEP instructions on how to complete each of these 4 questions that are posted in the conversations area for this assignment, click on the small icon in the upper right corner of your screen that looks like a person with a square talk balloon next to its head.

For More Classes Please Visit

http://www.uopstudy.com/

QNT 275T Wk 4: Practice: Week 4 Knowledge Check

Access Connect through the McGraw-Hill Connect® Access link at the top of this course. Complete the Week 4 "Knowledge Check" in Connect ®. Note: You have unlimited attempts available to complete this practice assignment. The highest scored attempt will be recorded. These assignments have earlier due dates, so plan accordingly. Grades must be transferred manually to Blackboard by your instructor. Don't worry, this might happen after your due date.


QNT 275T Wk 4: Apply: Week 4 Connect® Exercise

Complete the Week 4 Exercise" in Connect®. Note: Look in Connect to view the number of attempts you have available to complete this assignment. Grades must be transferred manually to Blackboard by your instructor. Don't worry, this might happen after your due date.

QNT 275T Wk 4 Case Study TRICK or TREAT to Stats Success Week 4 Case Study - TRICK or TREAT to Stats Success It's Week 4 and we are totally rocking this case study thing by now! Bring it on!! Bring on some CANDY also Well, we don't have candy online, but we DO have a special treat for you! Look in the conversations area for detailed STEP BY STEP instructional posts on how to complete each part of the case study (Q1 is posted on Wednesday, Q2 is posted on Thursday, Q3 is posted on Friday and Q4 is posted on Saturday). To access the conversations area for this assignment, click on the small icon in the upper right corner of your screen that looks like a person with a square talk balloon next to its head. WHEN YOU ARE COMPLETE WITH YOUR CASE STUDY, PLEASE UPLOAD IT HERE TO THE CASE STUDY ASSIGNMENT AREA by clicking on the black "view assessment" button on this screen. It is recommended that you use the case study detailed instruction posts like you would a recipe. Have excel up and running as you review each step in the detailed instructional post. Create your secret sauce of statistical success by working step by step in real time. You WILL like how this secret sauce tastes. You are welcome to post questions or thoughts in this thread, but please remember that any posts made here will NOT be counted toward your weekly discussion grade.


Here is this week's case study: Week 4 Case Study Data Set _ Click the 3 Dots to the Right to Open Me ------------> You manage human relations for your company. One of your sales managers has retired, leaving an opening in the organization. You are considering two different employees for the position. Both are highly qualified, so you have decided to evaluate their sales performance for the past year. Using the week 4 data set,, create and calculate the following in Microsoft® Excel®:

 

  

1 Determine the range of values in which you would expect to find the average weekly sales for the entire sales force in your company 90% of the time, and calculate the following: The impact of increasing the confidence level to 95% The impact of increasing the sample size to 150, assuming the same mean and standard deviation, but allowing the confidence level to remain at 90% 2 Based on the calculated confidence interval for weekly sales on the sample of 50 reps at a 90% confidence level, calculate the following: Both reps' average weekly performance, highlighting if it is greater than the population mean 3 In order to decide who to promote, determine whether there is a statistically different average weekly sales between Sales Rep A and Sales Rep B by doing the following: Create null and alternative hypothesis statements that would allow you to determine whether their sales performance is statistically different or not. Use a significance level of .05 to conduct a t-test of independent samples to compare the average weekly sales of the two candidates. Calculate the p-value. 4 Considering the individual you did just promoted, do the following: Determine whether this person's average weekly sales are greater than the average weekly sales for the 50 sales reps whose data you used to develop confidence intervals. Create null and alternative hypothesis statements that would allow you to determine whether this person's weekly average sales are greater than the sample of Sales Reps.


 

Use a significance level of .05 to conduct a t-test of independent samples to compare the average weekly sales of both. Calculate the p-value. Don't forget to access the STEP BY STEP instructions for each of the four case study questions embedded in the conversations area for this assignment, click on the small icon in the upper right corner of your screen that looks like a person with a square talk balloon next to its head. Why do it yourself? Let's do it TOGETHER!

For More Classes Please Visit

http://www.uopstudy.com/

QNT 275T Wk 5: Practice: Week 5 Knowledge Check

Access Connect through the McGraw-Hill Connect® Access link at the top of this course. Complete the Week 5 "Knowledge Check" in Connect ®. Note: You have unlimited attempts available to complete this practice assignment. The highest scored attempt will be recorded. These assignments have earlier due dates, so plan accordingly. Grades must be transferred manually to Blackboard by your instructor. Don't worry, this might happen after your due date.

QNT 275T Wk 5: Apply: Week 5 Connect® Exercise

Complete the Week 5 Exercise" in Connect®.


Note: Look in Connect to view the number of attempts you have available to complete this assignment. Grades must be transferred manually to Blackboard by your instructor. Don't worry, this might happen after your due date.

For More Classes Please Visit

http://www.uopstudy.com/

QNT 275T Wk 5 Case Study The MOST Super Secrets to the

Secret Sauce of Stats Success

Assignment Content It's week 5 and it's TOTALLY unusual...but...we have a case study to complete. Shock and surprise, right? Right! Okay, you should know the drill by now. You FIRST do your work in excel answering problems utilizing new-found statistical knowledge. Then SECOND, you upload your excel work. To upload your assignment, click on the black "view assessment" button on this screen (you may need to scroll down to see it). Don't forget to look in the conversations area for detailed instructional posts on how to complete each part of the case study (Q1 is posted on Wednesday, Q2 is posted on Thursday, Q3 is posted on Friday and Q4 is posted on Saturday). To access the conversations area for this assignment, click on the small icon in the upper right corner of your screen that looks like a person with a square talk balloon next to its head.


It is recommended that you use these detailed posts like you would a recipe. Have excel up and running as you review each step in the detailed instructional post. Create your secret sauce of statistical success by working step by step in real time. You WILL like how this secret sauce tastes. You are welcome to post questions or thoughts in this thread but they will not be counted toward your weekly participation grade. Happy solving! Here are the parameters for our week 5 (and final) case study together: You are the manager of a retail store. You want to investigate how metrics can improve the way you manage your business. Data on current metrics can be found in the week 5 data set excel file:

Week 5 Case Study Data Set _ Click the 3 Dots to the Right to Open Me ------------> Create and calculate the following in ExcelÂŽ:

o

o

o o

o o

1 Conduct a goodness of fit analysis which assesses orders of a specific item by size and items you received by size. Conduct a hypothesis test with the objective of determining if there is a difference between what you ordered and what you received at the . 05 level of significance. Identify the null and alternative hypotheses. 2 Generate a scatter plot, the correlation coefficient, and the linear equation that evaluates whether a relationship exists between the number of times a customer visited the store in the past 6 months and the total amount of money the customer spent. Set up a hypothesis test to evaluate the strength of the relationship between the two variables. Use a level of significance of .05. 3 Use the regression line formula to forecast how much a customer might spend on merchandise if that customer visited the store 13 times in a 6 month period. Consider the average monthly sales of 2014, $1310, as your base to: Calculate indices for each month for the next two years. Graph a time series plot.


o o

4 In the Data Analysis Toolpak, use Excel's Exponential Smoothing option. Apply a damping factor of .5, to your monthly sales data. Create a new time series graph that compares the original and the revised monthly sales data. Don't forget to access the STEP BY STEP instructions for each of the four case study questions embedded in the conversations area for this assignment, click on the small icon in the upper right corner of your screen that looks like a person with a square talk balloon next to its head. Why do it yourself? Let's do it TOGETHER!

For More Classes Please Visit

http://www.uopstudy.com/

Profile for uopx001

QNT 275T QNT275T qnt 275t Effective Communication - uopstudy.com  

QNT 275T QNT275T qnt 275t Effective Communication - uopstudy.com

QNT 275T QNT275T qnt 275t Effective Communication - uopstudy.com  

QNT 275T QNT275T qnt 275t Effective Communication - uopstudy.com

Profile for uopx001
Advertisement