Descriptive Statistics
Question 1:
The Dow Jones Travel Index reported what business travelers pay for hotel rooms per night in major U.S. cities (The Wall Street Journal, January 16,2004). The average hotel room rates for 20 cities are as follows Atlanta | $163| Minneapolis| $125|

Boston | 177| New Orleans| 169|
Chicago| 166| New York| 245|
Cleveland| 126| Orlando| 146|
Dallas| 123| Phoenix| 139|
Denver| 120| Pittsburgh| 134|
Detroit| 144| San Francisco| 167|
Houston| 173| Seattle| 162|
Los Angeles| 160| St. Louis| 145|
Miami| 192| Washington D.C.| 207|
a. What is the mean hotel room rate?
b. What is the median hotel room rate?
c. What is the mode?
d. What is the first quartile?
e. What is the third quartile?
Question 2:
The National Association of Collage and Employers compiled information about annual starting salaries for college graduates by major. The mean starting salary for business administration graduates was $39,850 (CNNM Money.com, February 15, 2006). Samples with annual starting data for marketing majors and accounting majors follow (data are in thousands): Marketing Majors|

34.2| 45| 39.5| 28.5| 37.7| 35.8| 30.6| 35.2| 34.2| 42.4| Accounting Majors|
33.5| 57.1| 49.7| 40.2| 44.2| 45.2| 47.8| 38|
53.9| 41.1| 41.7| 40.8| 55.5| 43.5| 49.1| 49.9|
a. Compute the mean, median, and mode of the annual starting salary for both majors. b. Compute the first and third quartiles for both majors. c. Business administration students with accounting majors generally obtain the highest annual salary after graduation. What do the sample data indicate about the difference between the annual starting salaries for marketing and accounting majors? Question 3:

The American Association of Individual Investors conducted an annual survey of discount brokers (AAII Journal, January 2003). The commissions charged by 24 discount brokers for two types...

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DescriptiveStatistics
QNT/561
September 5, 2014
DescriptiveStatistics Interpretation
Measuring productivity is paramount for the successful organization; in terms of profitability and progressively growing the business. The data was significantly skewed. Fifty five subjects were randomly selected. Their ages were between 19 and 55 years, with a mean of 37.84, mean of 41 and standard deviation of 9.11. The nurses work shifts varied from morning, mid shift, and overnight. Meade Medical Center strongly believes a 95% population productivity is affected by nurses age and work shift.
Descriptivestatistics
Wage
count
55
mean
33,320.55
sample standard deviation
7,753.39
sample variance
60,115,073.77
minimum
19435
maximum
44975
range
25540
confidence interval 95.% lower
31,271.47
confidence interval 95.% upper
35,369.62
margin of error
2,049.08
z
1.96
1st quartile
27,980.00
median
33,425.00
3rd quartile
40,387.50
interquartile range
12,407.50
mode
19,435.00
low extremes
0
low outliers
0
high outliers
0
high extremes
0
Descriptivestatistics
Age
count
55
mean
37.84
sample standard deviation
9.11
sample variance
82.99
minimum
19
maximum
55
range
36...

...
(BHRM)
BUSINESS STATISTICS (BBI 1224)
Name :
Student ID# :
Semester :
Academic Honesty Policy Statement
I, hereby attest that contents of this attachment are my own work. Referenced works, articles, art, programs, papers or parts thereof are acknowledged at the end of this paper. This includes data excerpted from CD-ROMs, the Internet, other private networks, and other people’s disk of the computer system.
Student’s Signature :
SUPERVISOR’S COMMMENTS/GRADE:
for office use only
DATE : ------------------------
TIME : ________________
RECEIVER’S NAME : _______
ANSWER
1.
A) Amount of time spent shopping in the bookstore
Answer: Numerical variable-continuous-ratio scale.
B) Number of textbooks purchased
Answer: Numerical variable-discrete-ratio scale.
C) Gender
Answer: Categorical variable-nominal scale.
2.
The following is a set of data from a sample of
7 4 9 8 2
A) Compute the first quartile the third quartile and the interquartile range.
Rank: 2 4 7 8 9
First quartile = 2+4 / 2 = 3
Third quartile = 8+9 / 2 = 8.5
Interquartile range = third quartile – first quartile = 8.5 – 3 = 5.5
B) List the five-number summary.
1) X smallest
2) Q1
3) Median
4) Q3...

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DescriptiveStatistics and Interpretation
University of Phoenix
Katie Robinson
QNT/561
January 22, 2015
Gary Cantini
Introduction:
DescriptiveStatistics and Interpretation
This paper will provide descriptivestatistics and interpretations based on the article Effects of extended work shifts on employee fatigue, health, satisfaction, work/family, balance, and patient safety. Thestatistics 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: Descriptivestatistics 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...

...Statistics in Business
QNT/351
Statistics in Business
What is statistics? Statistics is collecting, measuring, analyzing, and communicating data. There are two types of statistics, descriptivestatistics and inferential statistics (Lind, Marchal, & Wathen, 2011). Statistics are applied in different situations. This paper will describe the role statistics has in making business decisions. This paper will also provide examples of situations in which statistics are applied.
Types of Statistics
Lind, Marchal, and Wathen define statistics as “The science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making more effective decisions (Lind, et al., 2011, p. 5). In statistics there are two types, descriptive and inferential statistics. First, descriptivestatistics is the informative organization, summarization, and presentation of data. The second type of statistics is inferential statistics. Inferential statistics is also called statistical inference, is “the methods used to estimate a property of a population on the basis of a sample” (Lind, et al., 2011 p. 7).
Statistic Examples
One example of...

...DescriptiveStatistics
An investigation of a Real Estate Data Set, issued by University of Phoenix Research class 341 has taken place. The assignment is a team responsibility to research any problems, issues, or opportunities the Real Estate industry may have and explain why the data is important. The team will apply descriptivestatistics on the collected data and draw conclusions based on the findings. Usingdescriptivestatistics, the data analysis will calculate the measures of central tendency, dispersion, and skew for the data. A deliberation of the descriptive statistical data will display information in graphic and tabular form, along with an application of frequency distribution and histogram. Based on the skew value and histogram, an analysis of the best measures of central tendency and dispersion of the data will justify the team selection.
The Population
The Real Estate Data Set indicates 105 houses were sold; however, certain houses sold faster than others. The data set information assists with price, size, and number of bedrooms, the number of bathrooms, garage size, and the distance from the center of the city in miles. The information is important for Real Estate Brokers and Agents to determine what homes are more likely to sell on the market. According to U.S. Department of Labor (Used June 28, 2011), “Real estate brokers and sales agents have a...

... |
≤0.001 | Reject Ho, Accept H1 | Very strong |
As it can be seen from table 1, when a p-value is equal to or smaller than 0.05 the Ho must be rejected and the H1 accepted.
The H1, for this investigation is that there is genuine evidence of difference in accident rates between the two operations.
The Analysis:
The analysis of the data was started by doing descriptivestatistics for the data as shown below.
Table 2: Showing thedescriptivestatistics for the brick and tile data.
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
Tile 16 0 412 127 508 56 124 227 390 2017
Brick 12 0 1075 417 1443 121 328 550 1453 5218
The purpose of the descriptivestatistics is to summarise the data, using measurements such as the mean and the median. The mean is the total of all the values divided by the number of values in the sample (the average), and the median is the value of the middle number when the data is put in numerical order (Dytham, 1999). It can be seen from the descriptivestatistics, that the mean and the median values are not similar for both tile and brick data; the mean in both cases is nearly double the median, for example for brick data the mean is 1075 and the median is 550. This suggests the data is not equally spread out (normally...

...Descriptive and Inferential Statistics Paper
PSY 315
Descriptive and Inferential Statistics
Whether doing original research or conducting literature reviews, one must conclude what a powerful and versatile tool statistics are in the hands of researchers. From basic statistics such as data description, to using complex statistical methods to foresee future patterns or strengthen scientific claims about current climates, the role of statistics in research cannot be taken lightly and is essential in almost any field, especially in psychology. The statistical method is divided into two main branches called descriptive and inferential statistics. Descriptivestatistics is a summary of information and the data presented is easily understood. Inferential statistics are much more detailed and are used to draw conclusions about hypotheses or determine probabilities of an outcome. Both allow researchers to describe, graph and present data for a general audience or more technical for the professionals. Without statistics, researchers lose that vital tool that allows them to move from hypothesis to conclusion.
The ability to describe data is an essential asset that comes with statistics. Once strong, reliable, and valid data is collected by the researcher, he or she must then make...

...Descriptive and 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...