UNIVERSITI UTARA MALAYSIA
COLLEGE OF ARTS AND SCIENCES
SCHOOL OF QUANTITATIVE SCIENCES

GROUP ASSIGNMENT
SQQS1013 ELEMENTARY STATISTICS
2nd SEMESTER SESSION 2012/2013

INSTRUCTIONS:
1. Five (5) persons in a group.
2. Answer ALL questions and show all your calculations clearly. 3. Report must be typewritten using A4 paper.
4. Every question and answers must be written on a new page. 5. The front cover for the report is as in Appendix 1. 6. Total marks: 90.
7. Evaluation of the report will be as follows:
• Front cover, table of contents, references, font, etc – 10 marks • Answers to all 4 questions – 80 marks. 8. Due date: 9 May 2013
_________________________________________________________________________________

QUESTION 1 (15 MARKS)

As a member of the marketing team at an Internet music site, you want to understand your customer preferences when visiting your website. You are interested to know their choice of search engine and how many hours they spend in a week browsing the website. A survey was conducted on 30 visitors to the site and the information collected is recorded in TABLE 1 below. TABLE 1

...
1 - Produce the relevant descriptive graph and table to summarise the MODE variable (labelled Control: Completes by phone/mail/web). The MODE variable summarises the different ways that each institution completed the survey. Write a paragraph explaining the key features of the data observed through the output.
The distribution of the surveyance mode which was conducted for a sample of 2000. The mode is displayed in the above chart. The most common primary mode was the web (53.9%) it was above the average. The second and third in common was the Mail and the Phone – Full mode at 24% and 16.3% respectively, very few people uses the Phone – Short method (5.9%)
2 - Produce the relevant descriptive graph and table to summarise the OPSEXTOTM variable (labelled QB5b_num_mal. Male outpatients – Total). This variable measures the total number of male outpatients at each institution. Write a paragraph explaining the key features of the data observed through the output
The distribution of male outpatients at each institution in a sample of 2000 is displayed in the above histogram. The distribution is positively skewed with 50% below 96 cases or less. Typically male outpatient cases were between 30 and 223 with mean at 191.62 and standard deviation of 349.62. However there were quite a number of outliers with 3 significant outliers above 4000 cases in ID 2926, 7251 and 6751 and there were a number of institutions with 0 cases as...

...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...

...Subject Code: ECOM90009
Subject Name: Quantitative Methods for Business
Assignment Number: 2
Workshop Day and Time: Thursday 02:15pm
Tutor Name: Jackson Yuen
Student ID Number
Student Name
1.
2.
3.
4.
Question 1:
a.
Count
150
Mode
22
Sum
3231
Standard Deviation
4.728
Range
29
Sample Variance
22.357
Maximum
36
Coefficient of Variance
0.22
Minimum
7
Mad
3.0
Mean
21.54
25th percentile
18.5
Median
22
75th percentile
25
The central location of the distribution includes mean, median and mode. As illustrated above, the mean number, median number and mode number of the distribution of installation times are 21.54,22 and 22. There are little differences among the three numbers which means that the shape of the distribution is nearly symmetric.
The variance of the installation time of this sample is 22.357 while the standard deviation is 4.728. The installation time ranges from 7 minutes to 36 minutes. The coefficient of variance is 0.22 which is low. The mad of the sample is 3.0.
The first quartile is 18.5 indicating that 25% of the purchasers’ installation time is less than 18.5 minutes. However the third quartile is 25 which shows that 75% of the purchasers spent less than 25 minutes to install the software.
b.
Yes, we are able to estimate the mean installation time using this data. We do not know the variance of the population so we need to standardise the mean of...

... |
D. The river/lake where a fish was captured
4. Managers study the number of days per month over the last year that employees in the payroll department called in sick to determine the averages they can expect next year. Collecting the data and determining the averages last year is an example of what type of statistics? Determining the averages they can expect next year is an example of what type of statistics?
A. They are both examples of inferential statistics because averages are inferred in both instances.
B. Inferential statistics; descriptive statistics.
C. They are both examples of descriptive statistics because they deal with analyzing data.
D. Descriptive statistics; inferential statistics.
5. The grades that a random sampling of students in the psychology degree program received over the last decade of "Abnormal Psychology" classes are an example of what statistical concept?
A. The grades are an example of a parameter.
B. The grades are an example of a sample.
C. The grades are an example of a population.
D. The grades are an example of a statistic.
6. What method is used to sample a population so that it is representative of the population?
A. All but the samples that appear to have the lowest and highest values are selected.
B. Samples are chosen at random from the...

...Inferential Statistics
Statistical methods in psychology have two main branches, which are descriptive and inferential. They each play a major part in the data that is collected for research and other studies. This paper will show the functions of statistics, how descriptive and inferential statistics are defined and the relationship between the two.
Statistics is a necessary tool in psychology. It provides data for research studies as well as providing background information and support. Without it, understanding the various aspects of psychology and what causes disorders and behaviors would be almost impossible. Scientific, social, and economic studies use statistics in one form or another (Anand, 2013). These disciplines make use of observations, facts and figures, enquiries, and experiments using statistics and statistical methods (Anand, 2013).
Statistics presents facts in a simple form for researchers and psychologists to understand the findings from a research study. It reduces the complex nature of data, especially raw data. Statistics are put into various graphs or diagrams to make data more accessible and intelligible. When statistics are put into a graph, it helps draw inferences and aids in interpretation. Another function of statistics is allowing different sets of observation to be compared and contrasted with other...

...
Name
Assignment
QNT/561
Date
Descriptive Statistics
Sales (in USD)
The distribution is normally distributed.
Central Tendency:
Mean = 42.84 dollars.
Dispersion:
Standard deviation = 9.073 dollars.
Count:
100
Min/Max:
Min is $23.00; Max is $64.00
Confidence Interval (alpha = 0.05):
$41.06 to $44.62
The histogram is present in Appendix A; the descriptive statistics are present in Appendix B.
Age
The distribution is not normally distributed.
Central Tendency:
Median = 35 years
Dispersion:
Interquartile Range = 12 years / 2 = ± 6 years
Count:
100
Min/Max:
Min is 25 years; Max is 45 years
Confidence Interval:
The data is not normally distributed, therefore there is no confidence interval
The histogram is present in Appendix A; the descriptive statistics are present in Appendix B; the scatterplot relating age and sales is in Appendix C.
ID On Display
Thirty-four percent of the people sampled did not have their ID on display while sixty-six percent of people sampled had their ID on display. The bar chart is in Appendix E.
Descriptive Statistics Interpretation
Sales
One hundred people were randomly selected, and their sales were measured. Their sales were observed between $23.00 and $64.00. The average sales were $42.84, with a standard deviation of $9.07. Approximately half or more of the data values are above $42.84. There is enough evidence to say that the population sales...

...
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...

...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...