Math 533 week 1 - Study guides, Class notes & Summaries
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MATH 533 Week 1 Discussion: Study and Sample Design – Download To Get An A+
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MATH 533 Week 1 Discussion: Study and Sample Design – Download To Get An A+ Week 1 Statistics Discussion Keller Graduate School of Management; Professor Aaron Marmorstein Weekly Discussion, 3-6- 2019. “A company makes men's button-up dress shirts and is considering changes to its design. How might the company go about finding a good sample of individuals? These decisions would include method of sampling, location of sampling, population to consider, and number in sample, in addition to any ...
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Keller MATH 533 Course Project Part B, Hypothesis Testing
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Keller MATH 533 Course Project Part B, Hypothesis Testing. Keller MATH 533 Course Project Part B, Hypothesis TestingRequirement A: The average (mean) sales per week exceeds 41.5 per salesperson. 
Key Statistics as computed by Minitab 
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 
SALES 100 0 42.340 0.417 4.171 32.000 39.250 42.000 45.000 
 N for 
Variable Maximum Range IQR Mode Mode 
SALES 52.000 20.000 5.750 44 12 
Step 1 Hypotheses 
Ho: μ = 41.5 
Ha: μ > 41.5 
Step 2 Level of Sig...
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MATH-533 Week 6 Course Project, Part B – Hypothesis Testing and Confidence Intervals – Download For An A+
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Running Head: Course Project Part B 
 
 
 
MATH-533 Week 6 Course Project, Part B – Hypothesis Testing and Confidence Intervals – Download For An A+ 
 
 
 
 
 
 
 
 
 
 
 
 
 
Hypothesis Testing MATH – 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
In the hypothesis testing, two type hypotheses are made, one is called Alternate hypothesis and second is null hypothesis. What would be researched, it is called Alter hypothesis and in against of alternate hypothesis called Null hypothesis. 
Ans. 1 The aver...
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MATH 533 Week 7 Course Project Part C Regression and Correlation Analysis
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MATH 533 Week 7 Course Project Part C Regression and Correlation Analysis. It is evident with the help of scatter graph trend line that there is positive relationship 
between Sales and calls. If number of calls increases the sales also increase and vice versa. 
Ans. 2 
With help of Minitab, the regression equation is mentioned below as: 
Minitab Result 
Regression Analysis: Sales versus Calls 
The regression equation is 
Sales = 9.638 + 0.2018 Calls 
Ans. 3 
Math 3 
The correlation coefficient ...
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MATH 533 Course Project Part B, Hypothesis Testing
- Exam (elaborations) • 13 pages • 2023
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MATH 533 Course Project Part B, Hypothesis Testing. Hypotheses testing involves the testing of the null hypothesis and the alternative 
hypothesis. When testing the hypothesis either the null hypothesis or the alternative 
hypotheses is rejected. The value to a company knowing to accept or reject a hypothesis 
will aid in the decision making process. Information derived from hypothesis testing can 
aid in more timely decision. 
Requirement A: The average (mean) sales per week exceeds 41.5 per sa...
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MATH 533 Week 7 Course Project Part C Regression and Correlation Analysis SALESCALL Project
- Exam (elaborations) • 15 pages • 2023
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MATH 533 Week 7 Course Project Part C Regression and Correlation Analysis SALESCALL Project. Regression Analysis: Sales versus Calls 
The regression equation is 
Sales = 9.638 + 0.2018 Calls 
Ans. 3 
Math 3 
The correlation coefficient between sales and calls is calculated as 0 .871. This is positive 
correlation coefficient; it means there is positive relationship between sales and calls. If the 
number of calls are increased then sales will also be increased and vice versa. The calculated 
cor...
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Keller MATH 533 Course Project Part B, Hypothesis Testing
- Exam (elaborations) • 13 pages • 2023
-
Available in package deal
-
- $10.49
- + learn more
Keller MATH 533 Course Project Part B, Hypothesis Testing. Hypotheses testing involves the testing of the null hypothesis and the alternative 
hypothesis. When testing the hypothesis either the null hypothesis or the alternative 
hypotheses is rejected. The value to a company knowing to accept or reject a hypothesis 
will aid in the decision making process. Information derived from hypothesis testing can 
aid in more timely decision. 
Requirement A: The average (mean) sales per week exceeds 41.5...
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MATH-533 Week 2 Course Project, Part A – Exploratory Data Analysis- Graded An A+
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MATH-533 Week 2 Course Project, Part A – Exploratory Data Analysis- Graded An A+ Introduction This study will present a detailed statistical analysis of a given data set from a sam ple of credit customers in the department chain stores AJ Davis. The purpose of the study is to understand the customers in order for AJ Davis to expand their business The study will try to define the correlation between; income, years, and Credit Balance. For example: Is the longer the customer lives at that curren...
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MATH 533 Week 4 Discussion: Confidence Intervals in Business
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MATH 533 Week 4 Discussion: Confidence Intervals in Business 
 
Consider when businesses might use confidence intervals to estimate values, such as in sales projections, marketing results, and so forth. 
 
Describe a business decision that could be helped with confidence intervals. 
 
Then create a problem with numbers from which another student could calculate a confidence interval and make a decision. 
 
 
 
Professor and class, 
 
 
A group of 10 foot surgery patients had a mean weight of 240...
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(300+ QUESTIONS AND ANSWERS)UPDATED HESI A2 MATHS 2 VERSIONS 2023-2024 REAL EXAM
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HESI A2 MATHS 2 LATEST 
VERSIONS REAL 
EXAM 300+ QUESTIONS AND 
ANSWERS 
VERSION A 
1. Convert 5 3/4 to a decimal. Round to the nearest tenth. 
A. 5.75 
B. 5.7 
C. 5.8 
D. 6 
2. A warehouse worker ships 25 boxes each day. Every box contains 3 shipping labels. 
Inventory has 500 shipping labels. How many days will it take to use the inventory of shipping 
labels? Round to the nearest whole. 
A. 7 days 
B. 8 days 
C. 20 days 
D. 6 days 
3. Ratio and proportion. 6:10::24:x 
A. 40 
B. 25 
C. 240 
D...
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