Statistics is the study of the collection, organization, analysis, interpretation, and presentation of data.[1][2] It deals with all aspects of this, including the planning of data collection in terms of the design of surveys and experiments. In mathematics, a graph is a representation of a set of objects where some pairs of the objects are connected by links. The interconnected objects are represented by mathematical abstractions called vertices, and the links that connect some pairs of vertices are called edges.[1]Typically, a graph is depicted in diagrammatic form as a set of dots for the vertices, joined by lines or curves for the edges. Graphs are one of the objects of study in discrete mathematics. Line graph is a graph that uses line segments to connect data points and shows changes in data over time. A bar graph displays data visually and is sometimes called a bar chart or a bar graph. Data is displayed either horizontally or vertically and allows viewers to compare items displayed. Data displayed will relate to things like amounts, characteristics, times and frequency etc. A bar graph displays information in a way that helps us to make generalizations and conclusions quickly and easily. histograph Line-chart based on a histogram, it is drawn by joining the mid-points of the blocks at their apexes with a straight line. The extreme points of the line are joined to the horizontal ('X') axis (where the mid-point of the respective next class would have been) to result into a polygon. Pictograph is a way of representing statistical data using symbolic figures to match the frequencies of different kinds of data. Mean, Median, Mode,

Mean, median, and mode are three kinds of "averages". There are many "averages" in statistics, but these are, I think, the three most common, and are certainly the three you are most likely to encounter in your pre-statistics courses, if the topic comes up at all. The "mean" is the "average" you're used to, where you add up all...

...Statistics – Lab Week 2
Name:
Math221
Creating Graphs
1. Create a Pie Chart for the variable Car -
2. Create a histogram for the variable Height –
3. Create a stem and leaf chart for the variable Money –
Stem-and-Leaf Display: Money
Stem-and-leaf of Money N = 20
Leaf Unit = 1.0
9 0 124456667
(3) 1 249
8 2 128
5 3 03
3 4 27
1 5 2
Calculating DescriptiveStatistics
4. Calculate descriptive statistics for the variable Height by Gender –
Gender
Mean
Standard deviation
Females
67.273
2.533
Males
69.78
4.21
Select File > Save Worksheet As to save the data set. You must either keep a copy of this data or download it again off the web site for future labs.
Short Answer Writing Assignment
All answers should be complete sentences.
5. What is the most common color of car for students who participated in this survey? Explain how you arrived at your answer.
According to the pie chart in question 1, the most common colors of cars are silver and blue. Both colors are at a 25%. This answer was derived by visual comparison and also checking the data.
6. What is seen in the histogram created for the heights of students in this class (include the shape)? Explain your answer.
The histogram was more skewed left. Most students’ heights were between the 64 and 72 inch range with 7 students at 70...

...
Descriptive Statistics and Interpretation
University of Phoenix
Katie Robinson
QNT/561
January 22, 2015
Gary Cantini
Introduction:
Descriptive Statistics and Interpretation
This paper will provide descriptive statistics and interpretations based on the article Effects of extended work shifts on employee fatigue, health, satisfaction, work/family, balance, and patient safety. The statistics are established from a collective survey about effects of extended work shifts on employee fatigue based on their age. Data will be collected on the interpretation phrases of central tendency, dispersion as well as confidence interval. A brief synopsis will be included to conclude this interpretation. This interpretation is the process of proving how age is an important factor as to how extended work shifts affect the employment levels as well as numerical facts.
Interpretation Phrases
Central Tendency:
Mean = 2,853.56
Median = 2,902
Mode = None
Dispersion:
Standard deviation = 2,279.70
Interquartile range (IQR) = 2,850
Range = 7,107 (691 to 7798)
Confidence Interval: (data must be normal)
±1489.37
Normal or significantly skewed data:
Mega Stat: Descriptive statistics Normal curve goodness of fit p-value
Normal, p-value > .05
Significantly Skewed, p-value < .05
Histogram: Eyeball the histogram.
Normal data will have a symmetrical or slightly skewed shape.
Significantly Skewed shape will have extreme...

...Research and Statistics in Health Sciences
As health care evolves in our nation, the role of research and statistics will evolve right along with it. There will be more research into medical care, health care costs, medications, and types of treatments. The most common types of statistics reported will be the fertility rates, which includes vital statistics (birth, death, marriage, divorce rates), morbidity (the incidence of disease in a population), and mortality (the number of people who die in a certain disease compared with the total number of people). As stated above, health care costs along with demographic distribution based on geographic, ethnic, and gender variables, and data on the socioeconomic status and education of health care professionals are also common statistical data reported. As the role of research and statistics are looked into more deeply, we will discuss the different types of variables used, examine independent and dependent variables more closely, and evaluate the characteristics of primary and secondary data as used in research and statistics.
Research will begin with collecting data and obtaining the variables. Data and variables go hand in hand as the data is the value of the variable. The most common types of variables are quantitative or qualitative data/variables. The quantitative variables consist of numerical variables, and the numerical...

...Descriptive Statistics paper
RES/341
July 24, 2011
Descriptive Statistics paper
The information below is a continuance of week two, week three, and on week four. The previous assessment in week two on “real estate research” for thinking of hypothesis on home values in Alvarado, Texas. The evaluating on real estate prices reveals a purpose of this research paper and its importance findings. The discoveries include problem definition, and on variables.
The next assessment was on week three on “data collection” on reviewing literatures, sampling design, and on any ethical concerns with collection data on the same topic. A summary was assembled in week three on terms of population, sampling size, and factors on real estate. This research found house prices to change in each different region.
This is week four paper on “descriptive statistics” on real estate in Alvarado, Texas. The information below will consist of; data analysis, data using graphic and tabular techniques, and on skew values, histogram measures, and on central tendency.
The Central tendency is the measures of numerical summaries used to summarize data with a one number. The most common used are mode, mean, and median. The Hypothesis is "homes more or less expensive fifteen miles away from the center of the city"? The comparison will come from the City of Arlington, Texas, and Cedar Hill. The mode is the data that happens most frequently in the data...

...Unit 1 - Fundamentals of Statistics
Veronica Chavis
American InterContinental University
In this paper I will examine and analyze the data regarding employee’s job satisfaction as it relates to gender. I have provided an interpretation of the extrinsic results for the three age groups, as well as I have given the results of the surveys regarding both qualitative measurement and quantitative measurement. I have discussed the results based the graphs that included in the paper; I have all so described the difference in the two types of variables. This paper covers the definitions of the standard deviation and variance.
It is important for organizations to understand how to market to consumers, how to identify motivational behaviors of employees and in the health care industry it is important to medical researchers to have data to use in when determining the appropriate treatment process and in preventative care. Analyzing data and information concerning consumers gives various organizations the ability to provide optimal services to our society. Qualitative and quantitative variables help in determining how to provide better products, services and will help many types of organizations to become better employer’s managers and leaders.
Gender is the qualitative variable I choose, because the data indicates how many women are satisfied and not satisfied versus the number of men who are satisfied and not satisfied with their jobs. I all so choose...

...attempt to gain an academic advantage in a dishonest or unfair manner. Breaches of the Academic Honesty Policy will result in dismissal from HCT
Project Objectives:
To estimate the population parameters from sample statistics, using interval estimate (90%, 95% and 99% levels).
The project consists of three parts as listed below. You should carefully read the instructions. This project is Group based (2 – 3) and each Group will have different results based on the initial data generated. Make sure to include all your work in the final report submitted. You will submit your final work (Report and Spreadsheet on Bb Learn)
PART I: Sample Generation- data presentation and data summary (25 )
1. Use the Data Set provided to you by your Instructor (No Two Groups can do the Same Dataset)
2. Write down a ‘Research Problem’ (Hypothesize a question about the data – what do you want to study- which variable(s)?) 4 points Age, blood pusher
3. Summarize and present the population (mean, variance and standard deviation) : 4 points
4. Select a sample from the data set: 6 points
a. Decide on the sample size 30
b. Decide on the sampling method
c. Clearly present the sample in an appropriate table. But it in table
5. Summarize your sample by finding sample statistics (mean, variance and standard deviation. 3 points
6. Present population and sample data graphically(histogram).4 points
7. Comment on the distribution shape and compare between...

...QNT 273 – INTRODUCTION TO BUSINESS STATISTICS – Complete Class Includes All DQs, Individual and Team Assignments – UOP Latest
Purchase this tutorial here: https://www.homework.services/shop/qnt-273-introduction-to-business-statistics-complete-class-includes-all-dqs-individual-and-team-assignments-uop-latest/
QNT 273
Introduction to Business Statistics
Week 1:
Individual Assignment: Introduction to Statistics Paper
Write a 350- to 700-word paper in which you describe how you use statistics in your everyday life.Include your definition of statistics and the relative value of statistics in your life.
Week 2:
Individual Assignment: Textbook Assignment
Complete Review Exercise 7 in Ch. 1 of Elementary Statistics.
Learning Team Assignment – Textbook Assignments
Complete Exercises 2–3: Problems 13 & 14 in Ch. 2 of Elementary Statistics.
Complete Exercise 2.4 in Ch. 2 of Introductory Statistics.
Learning Team Assignment: Misleading Graphs Paper and Presentation
Locate an example of a misleading graph such as inconsistent units, missing legends, lacking reference, or gaps in data.
Write a 350- to 700-word paper in which you describe the problems associated with the graph and how the problems might affect the users.
Describe what must be done to correct the graph.
Format your paper consistent with APA guidelines....

...of 1000 flights and proportions of three routes in the sample. He divides them into different sub-groups such as satisfaction, refreshments and departure time and then selects proportionally to highlight specific subgroup within the population. The reasons why Mr Kwok used this sampling method are that the cost per observation in the survey may be reduced and it also enables to increase the accuracy at a given cost.
TABLE 1: Data Summaries of Three Routes
Route 1
Route 2
Route 3
Normal(88.532,5.07943)
Normal(97.1033,5.04488)
Normal(107.15,5.15367)
Summary Statistics
Mean
88.532
Std Dev
5.0794269
Std Err Mean
0.2271589
Upper 95% Mean
88.978306
Lower 95% Mean
88.085694
N
500
Sum
44266
Summary Statistics
Mean
97.103333
Std Dev
5.0448811
Std Err Mean
0.2912663
Upper 95% Mean
97.676525
Lower 95% Mean
96.530142
N
300
Sum
29131
Summary Statistics
Mean
107.15
Std Dev
5.1536687
Std Err Mean
0.3644194
Upper 95% Mean
107.86862
Lower 95% Mean
106.43138
N
200
Sum
21430
From the table above, the total number of passengers for route 1 is 44,266, route 2 is 29,131 and route 3 is 21,430 and the total numbers of passengers for 3 routes are 94,827.
Although route 1 has the highest number of passengers and flights but it has the lowest means of passengers among the 3 routes. From...