QNT 351 Week 4 Connect Problems
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 QNT 351 Week 4 Connect Problem (Guide).xlsx
QNT 351 Week 4 Connect Problem
1) The Production department of Celitronics International wants to explore the relationship between the number of employees who assemble a subassembly and the number produced. As an experiment, 2 employees were assigned to assemble the subassemblies. They produced 13 during a onehour period, then 4 employees assembled them. They produced 22 during a one hour period. The complete set of paired observation follows
a) The dependent variable is production; that is, it is assumed that different levels of production result from a different number of employees.
b) A scatter diagram is provided below. Based on it, does there appear to be any relationship between the number of assemblers and production?
c) Compute the correlation coefficient.
2) The following sample observation were randomly selected.
X : 4 5 3 6 10
Y : 9.8 10.6 8 15.4 19.6
a) The regression equation is Y^ =?
b) When X is 5.5 this gives Y^=?
3) Biio Appliance Superstore has outlets in several large metropolitian areas in New England. The general sales manager aired a commercial for a digital camera on selected local TV stations prior tp a sale starting on Saturday and editing Sunday. She obtained the information for SaturdaySunday digital camera sales at the various outlets and paired it with number to times the advertisement was shown on the local TV stations. The Purpose is to find whether there is any relationship between the number of times the advertisement was aired and digital camera sales. The pairings are:
a) What is the dependent variable?
b) Determine the correlation coefficient
c) Interpret these statistical measures.
4) The owner of Maumee FordMercuryVolvo wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at the dealership during the last year.
a) If we want to estimate selling price on the basis of the age car, which variable is the dependent variable and which is the independent variable?
b) Determine the correlation coefficient? Determine the coefficient of determination?
c) Interpret the correlation coefficient. Does it surprise you that the correlation coefficient is negative?
5) Pennsylvania refining Company is studying the relationship between the pump price of gasoline and the number of gallons sold. For a sample of 20 stations last Tuesday the correlation was 78. At the 0.1 significance level, is the correlation in the population greater than zero?
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Resources: Appendix A1 at the end of Basic Statistics for Business and Economics
Answer question 58 in the Data Set Exercises from Ch. 10 of Basic Statistics for Business and Economics.
Answer question 62 in the Data Set Exercises from Ch. 13 of Basic Statistics for Business and Economics..

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QNT 351 Week 4 Learning Team Reflection
This tutorial contains 2 different sets
Discuss the following with your Learning Team:
The steps in testing a research hypothesis
Comparing the means of two or more groups
Calculating the correlation between..

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Week 2 DQ5
Why is the population shape a concern when estimating a mean? What effect does sample size, n, have on the estimate of the mean?
..

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Week 2 DQ2
Describe a business situation, other than what has already been selected by fellow students or selected from the team assignment, where mean and standard deviation can be used in decision making. Describe how calculation of mean and standard deviation can help in making a decision...

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Week 1 DQ6
What are the four data measurement scales? Provide two examples and explain the importance of each in business research.
..

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Week 1 DQ4
How would you define a variable? What is the difference between a dependent and independent variable? Do you think both variables are used in every research? Explain why or why not. Provide examples.
..

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Week 1 DQ2
How would you define dependent and independent variables? What is their significance in research? Explain with examples.
..

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Week 1 DQ1
Where would you see descriptive statistics used in your work place?
..

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Award: 10 out of 10.00 points
A sample of 43 observations is selected from a normal population. The sample mean is 30, and the population standard deviation is 3. Conduct the following test of hypothesis using the 0.05 significance level.
a. &n..

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QNT 351 Week 2 Connect Problem
1. The director of admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall semester on the basis of past experience.
a. What is the expected number of admissions for the fall semester?
b. Compute the v..

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QNT 351 Week 1 Connect Problem
1. Which of the following is an example of a continuous variable?
2. The incomes of 50 loan applicants are obtained. Which level of measurement is income?
3. The members of each basketball team wear numbers on their jerseys. What scale of measurement are..

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Complete the Probability Worksheet.
Format your paper consistent with APA guidelines.
Click the Assignment Files tab to submit your assignment.
Maximum and Minimum Temperatures
Search the Internet for U.S. climate data.
Choose the city in which you live.
Click on the..

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Search the Internet for a realty site.
Select a hometown of someone on your team in the search section on the website you have chosen. When all of the listings populate, make sure that the sort criteria reads "New Listings." This ensures that you are searching a random crosssection of listin..

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Complete the Introduction to Statistical Thinking Worksheet.
Format your assignment consistent with APA guidelines.
Click the Assignment Files tab to submit your assignment.
1. There are 23 people at a party. Explain what the probability is that any two o..

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QNT 351 Final Exam Guide (New, 2017) Score 30/3
The mean amount spent by a family of four on food is $500 per month with a standard deviation of $75. Assuming that the food costs are normally distributed, what is the probability that a family spends less than $410 ..

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Question 1
Plot a 100% stacked column chart for television sales by year.
U.S. Television Sales, 2002  2005 ($ thousands)
Projection TV LCD TV Plasma TV
2002 3,574 246 515
2003 4,351 664 1,590
2004 6,271 1,579 2,347
2005 5,320 3,295 4,012
&n..

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Week A B C D
1 1774 2205 1330 1402
2 1808 1507 1295 1665
3 1890 2352 1502 1530
4 1932 1939 1104 1826
5 1855 2052 1189 1703
6 1726 1630 1441 1498
Interpretation of Minimum and Maximum
Interpretation of Mean and Median
Interpretation of Stan..

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Problem 1
Figure below gives the boxplots comparing the base yearly salaries of employeesin marketing and employees in research for a large company. Identify the five number summaries. for each profession. Interpret them like we did in the class.
Problem 2
An insurance com..
