1.2 Below we list several variables. Which of these are quantitative and which are qualitative? Explain Quantitative is a number it represents the quantity, qualitative are the variables.
a. The dollar amount on an accounts receivable invoice = quantitative
b. The net profit for a company in 2009. = quantitative
c. The stock exchange on which a company’s stock is traded. = qualitative
d. The national debt of the US in 2009. = quantitative
e. The advertising medium (radio, TV, or print used to promote a product = qualitative

1.17 Classify each of the following qualitative variables as ordinal or nominative. Explain your answers Qualitative VariableCategoriesAnswer
Statistic course letter grade A B C D E Ordinal
Door choices on “Lets make a deal”Door #1 Door #2 Nominative TV show classificationsTV-G TV-PG TV- 14 TV-MAOrdinal
Personal computer ownershipYes NoNominative
Restaurant rating***** **** *** ** *Ordinal
Income tax filing statusMarried filing jointlyNominative
Married filing separately
Single
Head of household
Qualifying window(er)

3.3 Calculate the mean, median, and mode for each of the following populations of numbers; a. 9, 8, 10, 10, 12, 6, 11, 12, 8
Mean u= 9 + 8 + 10 + 10 + 12 + 6 + 11 + 12 + 8 = 86 = 9.555555555555556
9 9

Median 6 8 8 10 10 11 12 12 = (10 + 10)/2 = 10

Mode 6 8 8 10 10 11 12 12 = 10 because this is multimodal and 10 is in the center

3.22 In order to control costs, a company wishes to study the amount of money it’s sales force spends entertaining clients. a. x-bar = (157+132+109+145+125+139)/6=$134.5

... BUS308BUS308Week1 Problem Set Week One
100% Correct Answers
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All statistical calculations will use the Employee Salary Data set (in Appendix section).
1. Using the Excel Analysis ToolPak or StatPlus:mac LE function descriptive statistics, generate and show the
descriptive statistics for each appropriate variable in the sample data set.
a. For which variables in the data set does this function not work correctly for? Why?
2. Sort the data by Gen or Gen 1 (into males and females) and find the mean and standard deviation for each gender for the following variables:
a. sal, compa, age, sr and raise. Use either the descriptive stats function or the Fx functions (average and stdev).
3. What is the probability for a:
a. Randomly selected person being a male in grade E?
b. Randomly selected male being in grade E?
c. Why are the results different?
4. Find:
a. The z score for each male salary, based on only the male salaries.
b. The z score for each female salary, based on only the female salaries.
c. The z score for each female compa, based on only the female compa values
d. The z score for each male compa, based on only the male compa values.
e. What do the distributions and...

...Assignment1: HRM in an MNE
Nicole Boehm (Coveley)
Global Human Resource Management (Bus 325)
Professor Sandy Hughes
July 24, 2014
1. Compare and contrast two (2) main differences between domestic and international HRM.
Human resource management refers to all activities undertaken by an organization to effectively utilize human resources. The activities included for HRM is planning, performance management, staffing, development, compensation, and employee relations. Over the past couple of years organizations have been identifying the link of HRM with organizational strategy in order to develop a strategic approach to HRM and to also offer an understanding of how single country or domestic human resource management practices can contribute to organizational performance by leveraging people's capabilities (e.g. Schuler, et al., 1993). In order to understand which activities change when HRM goes international, we have to define IHRM first. Broadly speaking, the consensus is that IHRM is about the worldwide management of human resources (Brewster, 2002). In other words, the purpose of IHRM is to enable the multinational enterprise (MNE) to be successful on a global level. Strategic international human resource management (SIHRM) focuses on strategic HRM in MNEs and recognizes the importance of linking HRM with organizational strategies in order to achieve sustainable competitive advantage (Schuler &...

...1. Question : In a statistical study, the random variable X = 1, if the house is colonial, and X = 0 if the house is not colonial, then it can be stated that the random variable is continuous.
2. Question : The set of all possible experimental outcomes is called a(n)
3. Question : If two events are independent, then the probability of their intersection is represented by:
4. Question : A(n) __________ is a measure of the chance that an uncertain event will occur.
5. Question : The price-to-earning ratio for firms in a given industry is distributed according to normal distribution. In this industry, a firm with a Z value equal to 1
6. Question : The expected value of a discrete random variable is:
7. Question : For a continuous distribution, P(a ≤ X ≤ b) = P(a <X< b).
8. Question : The following formula: P(A U B) = P(A) + P(B) - P(A ∩ B) represents
9. Question : The MPG (mileage per gallon) for a mid-size car is normally distributed with a mean of 32 and a standard deviation of .8. What is the probability that the MPG for a selected mid-size car would be less than 33.2?
10.Question : The height of a continuous probability curve over a given point is
BUS308Week 2 Quiz
1. The one-sample t-test differs from the z-test in which way?
2. The z-test can be used to test mean differences even when the initial data set is not normally distributed.
3. What question does the z test...

...CLICK TO DOWNLOAD
BUS308 STATISTICS FOR AMANAGERS
BUS308Week1 DQ 1 Language
Numbers and measurements are the language of business.. Organizations look at results, expenses, quality levels, efficiencies, time, costs, etc. What measures does your department keep track of ? How are the measures collected, and how are they summarized/described? How are they used in making decisions? (Note: If you do not have a job where measures are available to you, ask someone you know for some examples or conduct outside research on an interest of yours.)
BUS308Week1 DQ 2 Levels
Managers and professionals often pay more attention to the levels of their measures (means, sums, etc.) than to the variation in the data (the dispersion or the probability patterns/distributions that describe the data). For the measures you identified in Discussion 1, why must dispersion be considered to truly understand what the data is telling us about what we measure/track? How can we make decisions about outcomes and results if we do not understand the consistency (variation) of the data? Does looking at the variation in the data give us a different understanding of results?
BUS308Week1 Problem Set Week One
Problem Set Week One. All statistical...

...BUS 475 Week 4 Knowledge Check
1. A fast-food restaurant asks customers to evaluate the drive-thru service as good, average, or poor. What level of data measurement is this classification?
Nominal
Ordinal
Interval
Ratio
Click here to download BUS 475 Week 4 Knowledge Check
2. In order to determine the average amount spent in November on Amazon.com a random sample of 144 Amazon accounts were selected. The sample mean amount spent in November was $250 with a standard deviation of $25. Assuming that the population standard deviation is unknown, what is a 95% confidence interval for the population mean amount spent on Amazon.com in November?
($245.88, $254.12)
($247.47, $260.09)
($250.64, $256.92)
($251.34, $256.22)
Want to see the complete Capstone Check..?? Click BUS 475 Capstone Part 1 and Part 2
3. A shipment of 20 DVDs has arrived at a video rental store. Based on past experience, the manager knows that 10% of all new DVDs sent to the store have a visible defect. The manager tells you to begin inspecting the new DVDs one at a time at random until you find the first DVD that has a defect. If 10% of the DVDs have a visible defect in the new shipment, what is the probability that the first DVD that has a defect is the 3rd one that you inspect? (Round your answer to 3 decimal places.)
.081
.268
.089
.716
4. An insurance agent has selected a sample of...

...
In this paperwork of BUS308Week1 Quiz you will find the answers on the next questions: 1. The two types of quantitative variables are
ordinal and ratio.
interval and ordinal.
nominative and ordinal.
interval and ratio.
nominative and interval.
2. As a general rule, when creating a stem-and-leaf display, there should be between ______ stem values.
3 and 100
1 and 100
no fewer than 20
5 and 20
3. The median is the value below which and above which approximately 50 percent of the measurements lie.
True
False
4. Temperature in degrees Fahrenheit is an example of a ____ variable.
nominative
ordinal
interval
ratio
5. Stem-and-leaf displays and dot plots are useful for detecting
Outliers
Skewness
Midpoint of data
All of the above
6. Any characteristic of a population unit is called a
measurement.
sample.
observation.
variable.
7. The science of using a sample to make generalizations about the important aspects of a population is known as
Statistical Process Control.
Descriptive Statistics.
A random sample.
Statistical Inference.
8. A normal population has 99.73 percent of the population measurements within ___ standard deviations of the mean.
one
two
three
four
9. When we are choosing a random sample and we do not place chosen units back into the population, we are
sampling with replacement.
sampling without...

...BUS308Week 4 assignment_ 9.13_9.22_and 12.10_12.18(a)
9.13 Recall that “very satisfied” customers gave the XYZ-Box video game system a rating that is at least 42. Suppose that the manufacturer of the XYZ-Box wishes to use the random sample of 65 satisfaction ratings to provide evidence supporting the claim that the mean composite satisfaction rating for the XYZ-Box exceeds 42.
a. Letting represent the mean composite satisfaction rating for the XYZ-Box, set up the null hypothesis and the alternative hypothesis needed if we wish to attempt to provide evidence supporting the claim that exceeds 42.
b. The random sample of 65 satisfaction ratings yields a sample mean of x = 42.954. Assuming that equals to 2.65, use critical values to test versus at each of a = .10, .05, .01, and .001.
z = [ (42.954 – 42) / (2.64 / 65 ] = 2.91
Reject Points
Since 1.28<1.645<2.33<2.91<3.09, reject with =.10, .05, .01, but not with .001.
c. Using the information in part b, calculate the p-value and use it to test versus At each of a = .10, .05, .01, and .001
p-value
Since p-value = .0018 is less than .10, .05, and .01, reject at those levels of , but not with it ( =.001).
d. How much evidence is there that the mean composite satisfaction rating exceeds 42?
There is a lot of evidence that the mean composite satisfaction rating exceeds 42.
9.22 How do we decide...

...Quantitative as the value is a number.
c. The stock exchange on which a company’s stock is traded
Answer – Qualitative as it is descriptive or categorical.
d. The national debt of the united states in 2009.
Answer – Quantitative as the value is a deals with numbers.
e. The advertising medium (radio, television, or print) used to promote a product.
Answer – Qualitative as it is descriptive or categorical.
1.17 Classify each of the following qualitative variables as ordinal or nominative. Explain your answers.
Qualitative Variable Categories
Statistics course letter grade A B C D F
Answer – Ordinal because there is a meaningful order of the grade categories i.e. (A is good and F is bad)
Door choice on Let’s Make a Deal Door #1 Door#2
Answer – Nominative because there is no meaningful ordering to the Door categories.
Television show classifications TV-G TV-PG TV-14 TV-MA
Answer – Ordinal because there is a meaningful order to all of the TV classification (age appropriateness)
Personal Computer Ownership Yes No
Answer – Nominative because there is no meaningful order or ranking to yes or no for personal computer ownership.
Restaurant Rating ***** **** *** ** *
Answer – Ordinal because there is meaningful order to the classification of the ratings. (**** is good and * is bad)
Income tax filing status Married filing jointly Married filing separately Single Head of Household Qualifying widow(er)
Answer –...