Business Decision Making Project, Part 2 QNT/275 April 11th 2016 Knowing that is statistics data is everything. So the collection of data is very important, it comes in handy when making a conclusion, doing calculations such as range, median and modes. So the types of descriptive data that could be used to describe and summarize this particular data set. When considering the problem previously address both types of descriptive data can be used. For instance, with the My voice of the customer
Words: 1083 - Pages: 5
Introduction to Statistics QTM403 Basic Information Program | BBA 3 (Hons.) | Semester | Fall 2015 | Credit Hours | 3 | Pre requisites (if any) | Mathematics | Resource Person | Iftikhar Hussain | Contact information | ihgrw85@gmail.com | Course Description: Important decisions are rarely made by intuition alone. We need to use the data to develop our insights and to support our analysis. Quantitative analysis includes the tools and techniques with
Words: 1330 - Pages: 6
PAPA – 420 QUANTITAIVE ANALYSISPROJECT 2Submitted toDr. HEnderson| | | | byAshwin Kothuri800490075| | | Table of contents: Content|Page Number| Table of contentsIntroductionabcdMethodsabcResultsFrequency TablesGraphsConclusionReferences|12222344445581314| 1) Introduction: a) Survey on the attitudes of the ecological society of America is really important. As the ecologists contribute a lot to the way how human interacts with the nature and stating all the criteria which is
Words: 2105 - Pages: 9
How does the rain affect the work commute for people in the Seattle metropolitan area? Research Project Gabriel Hess City University of Seattle BC303 – Statistics Greg Judge June 1, 2012 How does the rain affect the work commute for people in the Seattle metropolitan area? Table of Contents Abstract, Objectives, and Sampling Methodology…………………………………3 Sample Demographics………………………………………………………...……4 Time of Day for Commute…………………………………………………………5 Commute Distance…………………………………………………………………7
Words: 2435 - Pages: 10
recorded our date. We determined from the data gathered that out mean is 15.85 ounces, the mode was 16.21 ounces and the median was 15.99 ounces. From the data gathered we were then able to determine the standard deviation of the thirty bottles which was 0.66138 ounces. This information will allow us to see what our average is with the mean and from our average we are below the promised 16 ounces we promote. Then we look at our mode and it shows that our most commonly seen number is 16.21 ounces which
Words: 757 - Pages: 4
Analysis-Frequency Table Response | Frequency | Relative Frequency | YES | 9 | .36 | NO | 16 | .64 | B. Qualitative Data Analysis-Summary Statistics Measure of Center: Mean = 51.12 minutes Median= 43 minutes Mode = 45 minutes Measure of Spread: Range = 116 Interquartile range = 55 Average deviation from mean = 31.30 5. Graphic Display of Results: Conclusion: Based on the data, on average, people spend about 50 minutes per day on Facebook, give or take 30 minutes. The usage
Words: 280 - Pages: 2
UNIT #5 DISCUSSION DQ #1: Data collection is one of the most challenging steps that prevent learners from completing their dissertation. What challenges do you foresee in collecting your data? What are some strategies you’ll deploy to overcome these challenges? a) Challenges in collecting data Reliability and validity In data collection, reliability and validity of the data are important considerations, which a researcher should pay attention to. Reliability, in this case, can be described
Words: 1902 - Pages: 8
Part I (Chapters 1 – 11) MBA 611 STATISTICS AND QUANTITATIVE METHODS Part I. A. Review of Basic Statistics (Chapters 1-11) Introduction (Chapter 1) Uncertainty: Decisions are often based on incomplete information from uncertain events. We use statistical methods and statistical analysis to make decisions in uncertain environment. Population: Sample: A population is the complete set of all items in which an investigator is interested. A sample is a subset of population values. & Example:
Words: 3688 - Pages: 15
mileage are all continuous data. They are continuous data because they can be broken down to small units. The level of data that the car data is a ratio scale. The data is a ratio scale because each group of data can be broke down to find it mean, median, and mode. Below is a histogram graph of the car data provided. By using the data in the chart one can come up with many different measurement or center. Here is some example of measurement of center that is given in the graph and data average weight
Words: 306 - Pages: 2
Shapes | Degree (˚) of peripheral vision | | | Subj. 1 | Subj. 2 | Subj. 3 | Mean | Green Triangle | 10 | 20 | 10 | 13 | Green Rectangle | 9 | 15 | 0 | 8 | Green Circle | 1 | 17 | 10 | 9 | Green Square | 20 | 12 | 10 | 14 | | | | | | Table 2: Degree (°) of subjects' peripheral vision with yellow shape. | | | | | | | Degree of peripheral vision | | Colored Shapes | 1 | 2 | 3 | Mean | Yellow Triangle | 0 | 20 | 5 | 8 | Yellow Rectangle | 10 | 15 | 0 | 8 |
Words: 305 - Pages: 2
