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BUS 308 Entire Course (Ash Course)

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BUS 308 Week 1 Assignment Problems 1.2, 1.17, 3.3 & 3.22BUS 308 Week 1 DQ 1 Performance ReportBUS 308 Week 1 DQ 2 The Empirical Rule vs. Chebyshev TheoremBUS 308 Week 1 Quiz (10 MCQ)BUS 308 Week 2 Assignments Problems 4.4, 4.20, 5.12, 6.22(a)BUS 308 Week 2 DQ 1 Relative FrequencyBUS 308 Week 2 DQ 2 Applications for ProbabilityBUS 308 Week 2 Quiz (10 MCQ)BUS 308 Week 3 Assignments Problems 7.11, 7.30, 8.8, 8.38BUS 308 Week 3 DQ 1 Unscientific SamplingBUS 308 Week 3 DQ 2 Article ReviewBUS 308 Week 3 Quiz (10 MCQ)BUS 308 Week 4 Assignments Problems 9.13, 9.22, 12.10, 12.18(a)BUS 308 Week 4 DQ 1 Hypothesis TestBUS 308 Week 4 DQ 2 Creating HypothesesBUS 308 Week 4 Quiz (10 MCQ)BUS 308 Week 5 DQ 1 Linear Correlation

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BUS 308 Week 1 DQ 1 Data ScalesBUS 308 Week 1 DQ 2 ProbabilityBUS 308 Week 1 QuizBUS 308 Week 1 Problem Set Week OneBUS 308 Week 2 JournalBUS 308 Week 2 DQ 1 t-TestsBUS 308 Week 2 DQ 2 ANOVA TestingBUS 308 Week 2 QuizBUS 308 Week 2 Problem SetBUS 308 Week 3 DQ 1 Interval DataBUS 308 Week 3 DQ 2 CorrelationBUS 308 Week 3 Assignment Evaluation of CorrelationsBUS 308 Week 4 DQ 1 Simple Regression AnalysisBUS 308 Week 4 DQ 2 Multiple Regressions AnalysisBUS 308 Week 4 Problem SetBUS 308 Week 4 QuizBUS 308 Week 5 DQ 1 Confidence Intervals

BUS 308 Week 1 Assignment Problems 1.2, 1.17, 3.3 and 3.22 (Ash Course)

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BUS 308 Week 1 Problems 1.2, 1.17, 3.3 and 3.22

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Discussion 1-1/Language

Numbers and measurements are the language of business.

Organizations look at results in many ways: expenses, quality levels, efficiencies, time, costs, etc. What measures does your department keep track of?

Are they descriptive or inferential data, and what is the difference between these?

BUS 308 Week 1 DQ 1 Performance Report (Ash Course)

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You are the manager at a company and are asked to present a report on the year-to-date performance of your division. What type of statistical information would you include in your report? In particular, which descriptive statistics (mean, median, standard deviation, etc.) do you think would best represent the main aspects of the performance of your division? What types of gra

BUS 308 Week 1 DQ 2 Probability

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Things vary in life – virtually nothing (except physical standards such as the speed of light) we interact with is constant over time.

Much of this variation follows somewhat predictable patterns that can be examined using probability.

An example of a subjective probability is: “Cops usually do not patrol this road, so I can get away with speeding.”

An empirical probability example is: “Each production run has a 5% reject rate.”

BUS 308 Week 1 DQ 2 The Empirical Rule vs. Chebyshev Theorem (Ash Course)

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The Empirical Rule vs. Chebyshev’s TheoremDiscuss how the Empirical Rule works and how it relates to the bell curve as illustrated in Figure 3.14 (a). Then, explain Chebyshev’s Theorem and how it is different from the Empirical Rule. Give a specific example of a

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1. For assistance with these calculations, see the Recommended Resources for Week One. Measurement issues.

Data, even numerically code variables, can be one of 4 levels – nominal, ordinal, interval, or ratio.

It is important to identify which level a variable is, as this impacts the kind of analysis we can do with the data.

For example, descriptive statistics such as means can only be done on interval or ratio level data.

BUS 308 Week 1 Quiz (10 MCQ) (Ash Course)

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1. Question : The two types of quantitative variables are

2. Question : As a general rule, when creating a stem-and-leaf display, there should be between ______ stem values.

3. Question : The median is the value below which and above which approximately 50 percent of the measurements lie.

4. Question : Temperature in degrees Fahrenheit is an example of a ____ variable.

5. Question : Stem-and-leaf displays and dot plots are useful for detecting

6. Question : Any characteristic of a population unit is called a

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1. Question : In statistical notation, M is to μ as s is to σ.

Question 2. Question : A parameter refers to a sample characteristic.

Question 3. Question : Data on the city from which members of a board of directors come represent interval data.

Question 4. Question : In a frequency distribution such as a bell-shaped curve, what does the vertical height of the curve indicate?

Question 5. Question : The z transformation makes data normal.

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1. Question : Data on the city from which members of a board of directors come represent interval data.

2. Question : Inferential statistics infer the characteristics of samples.

3. Question : The mode is which of the following?

4. Question : The standard error of the mean can be calculated by dividing μ by the square root of the number of values in the distribution.

5. Question : If a certifying agency raises the requirements for real estate agents, what sort of decision error is the agency protecting against?

6. Question : Which of the following defines statistical significance?

7. Question : In a frequency distribution such as a bell-shaped curve, what does the vertical height of the curve indicate?

8. Question : Which of the following is a provision of the central limit theorem?

9. Question : In statistical notation, M is to μ as s is to σ.

BUS 308 Week 2 Assignments Problems 4.4, 4.20, 5.12, 6.22(a) (Ash Course)

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BUS 308 Week 2 Assignments Problems 4.4, 4.20, 5.12, 6.22(a)

BUS 308 Week 2 DQ 1 Hypotheses

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Discussion 2-1/Hypotheses

What is a hypothesis test? Why do we need to use them to make decisions about relating sample results to the population;

why can’t we just make our decisions by the sample value?

BUS 308 Week 2 DQ 1 Relative Frequency (Ash Course)

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Relative Frequency. Conceptually we would expect the probability of newborn males and females to be the same. However, census reports indicate that the ratios of males and females in various countries do not conform to the theoretical prediction. What do you think accounts for this variation? Can you think of other cases where

BUS 308 Week 2 DQ 2 Applications for Probability (Ash Course)

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Applications for Probability. In what situations might you use probability as a manager to approach business-related problems? What are the advantages to using probability concepts in business decisions? Are there any disadvantages or possible pitfalls to avoid in using probability in business?

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Variation exists in virtually all parts of our lives.

We often see variation in results in what we spend (utility costs each month, food costs, business supplies, etc.).

Consider the measures and data you use (in either your personal or job activities).

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Problem Set Week TwoComplete the problems below and submit your work in an Excel document. Be sure to show all of your work and clearly label all calculations.

All statistical calculations will use the Included in the Week Two tab of theEmployee Salary Data Set are 2 one-sample t-tests comparing male and

BUS 308 Week 2 Quiz (10 MCQ) (Ash Course)

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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:

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1. Question : What is the relationship between the power of a statistical test and decision errors?

Question 2. Question : The desired sample depends on all of these factors except?

Question 3. Question : What question does the z test answer?

Question 4. Question : The desired sample size depe

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1. Question : How is the sum of squares unlike either the standard deviation or the variance?

2. Question : If sums of squares statistics are calculated for shoppers at three different retail outlets,

BUS 308 Week 3 Assignments Problems 7.11, 7.30, 8.8, 8.38 (Ash Course)

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BUS 308 Week 3 Assignments Problems 7.11, 7.30, 8.8, 8.38

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In many ways, comparing multiple sample means is simply an extension of what we covered last week.

Just as we had 3 versions of the t-test (1 sample, 2 sample (with and without equal variance), and paired;

we have several versions of ANOVA – single factor, factorial (called 2-factor with replication in Excel), and within-

subjects (2-factor without replication in Excel). What examples (professional, personal, social) can you provide on when we might use each type?

BUS 308 Week 3 DQ 1 Unscientific Sampling (Ash Course)

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Unscientific Sampling. Consider question 7.45 from the text: A Milwaukee television station, WITI-TV, conducted a telephone call-in survey asking whether viewers liked the new newspaper, the Journal Sentinel. On April 26, 1995, Tim Cuprisin, a columnist for the Journal Sentinel, wrote the following comment: “WITI-TV

BUS 308 Week 3 DQ 2 Article Review (Ash Course)

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Article Review. Many articles present statistical data and list margins of error (for example, reports on political opinion polls, growth or decline of the housing markets, manufacturing sectors, etc.). Find one such article from a reliable source (such as EBSCO or Proquest) in the online library that includes a construction of confidence intervals for the data studied, and give a summary of the topic and the statistical results presented. In particular, discuss whether there is enough information presented in the article to arrive at the same

BUS 308 Week 3 DQ 2 Effect Size

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Several statistical tests have a way to measure effect size. What is this, and when might you want to use it in looking at results from these tests on job related data?

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ASSIGNMENT WEEK 3

Complete the problems below and submit your work in an Excel document. Be sure to show all of your work and clearly label all calculations. All statistical calculations will use the (Note: Questions 1- 4 have additional elements to respond to below the analysis results.)

BUS 308 Week 3 Quiz (10 MCQ) (Ash Course)

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1. Question : There is little difference between the values of ta/2 and Za/2 when the sample

2. Question : If the population proportion is .4 with a sample size of 20, then is this sample large enough so

BUS 308 Week 4 Assignments Problems 9.13, 9.22, 12.10, 12.18(a) (Ash Course)

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BUS 308 Week 4 Assignments Problems 9.13, 9.22, 12.10, 12.18(a)

BUS 308 Week 4 DQ 1 Confidence Intervals

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Discussion 4-1/Confidence Intervals

Many people do not “like” or “trust” single point estimates for things they need measured.

Looking back at the data examples you have provided in the previous discussion questions on this issue, how might

adding confidence intervals help managers accept the results better? Why?

Ask a manger in your organization if they would prefer a single point estimate or a range for important measures, and why? Please share what they say.

BUS 308 Week 4 DQ 1 Hypothesis Test (Ash Course)

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Give an example of a hypothesis test you could perform at work or at home. State what the Null and the

BUS 308 Week 4 DQ 2 Chi-Square Tests

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Discussion 4-2/Chi-Square Tests

Chi-square tests are great to show if distributions differ or if two variables interact in producing outcomes.

BUS 308 Week 4 DQ 2 Creating Hypotheses (Ash Course)

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Creating Hypotheses. Assume you are the manager of a paint manufacturing factory. Your company has received complaints from customers that the containers hold less than the amount printed on them. On the other hand, corporate management is concerned that the containers hold more than the standard amount. You assign a statistician to verify these claims. A sample of containers was selected and the volume of paint in each container was measured. Assuming that the volume printed on each container is 1 gallon, how would you

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ASSIGNMENT WEEK 4

Let’s look at some other factors that might influence pay. Complete the problems below and submit your work in an Excel document. Be sure to show all of your work and clearly label all calculations. All statistical calculations will use the

BUS 308 Week 4 Quiz (10 MCQ) (Ash Course)

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1. Question : Consider using p-value to test H0 versus Ha by setting α equal to .10. We reject H0 at level α of significance if and only if the p-value is:

2. Question : When carrying out a sample test (with ó known) of H0: µ = 10 vs. Ha: µ > 10 by using a rejection point, we reject Ho at level of significance a if and only if the calculated test statistic is

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1. Question : The goodness of fit test null hypothesis states that the sample data does not match an expected distribution.

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1. Question : With reference to problem 1, what statistic determines the correlation of experience with productivity, controlling for age in experience?

2. Question : In a problem where interest rates and growth of the economy are used to predict consumer spending, which of the following will increase prediction error?

3. Question : With reference to problem 3, how is the regression constant or the a value interpreted?

4. Question : Which of the following is a problem in simple regression?

BUS 308 Week 5 DQ 1 Correlation

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Discussion 5-1/Correlation

What results in your departments seem to be corr

BUS 308 Week 5 DQ 1 Linear Correlation (Ash Course)

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Linear Correlation. Do you think there is a correlation between CEO salaries and the degree of success of a company? If you were to take a sample of companies with comparable size, market capitalization, and product category, and plot CEO salaries against the net profit of their respective companies, do you expect to find a linear correlation between the two

BUS 308 Week 5 DQ 2 Quality Control (Ash Course)

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Quality Control. Visit the websites on Quality Control (QC) listed in the Required Websites for this week. In addition, locate an article on the Internet or in the Library databases that describes an example of the use of statistics in Quality Control. In your post, briefly define Quality Control and explain its importance. Also, describe some of the most widely used tools in the industry for measuring and controlling quality, emphasizing their relationship to what you have encountered in this class. Finally, explain the example from your article of

BUS 308 Week 5 DQ 2 Regression

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Discussion 5-2/Regression

At times we can generate a regression equation to explain outcomes.

For example, an employee’s salary can often be explained by their pay grade, appraisal rating, education level, etc.

BUS 308 Week 5 Final Paper (2 Papers)

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This tutorial contains 2 Different Papers

The final paper provides you with an opportunity to integrate and reflect on what you have learned during the class.

BUS 308 Week 5 Final Part I - Excel (Ash Course)

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Calculate the mean yearly value using the average gas prices by month found in the"Final Project Data Set".

2.Using the years as your x-axis and the annual mean as your y-axis, create a scatterplotand a linear regression line.

3.Answer the following questions using your scatterplot and linear regression line:* What is the slope of the linear regression line?* What is the Y-intercept of the linear regression line?*

What is the equation of the linear regression line, in slope-intercept form?* Based on the linear regression line,

what would be an estimated cost of gas in the year2020?* What are the residuals of each year?*

Select a current price that you have seen or paid recently for gas. Is that price within therange of the linear

BUS 308 Week 5 Final Part II Analysis Paper on gas prices

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Imagine that you are a manager at a delivery service and you are creating a report toproject the effects on your company of rising gas prices in the next ten years.

Using thepreceding statistical analysis as your basis and outside scholarly resources to support yourclaims,

write a 3 to 5 page paper interpreting the results from this perspective. Include thefollowing considerations:

1. Introduce the project and its significance to the company.

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ASSIGNMENT WEEK 5

1. Create a correlation table for the variables in our (Use analysis ToolPak or StatPlus:mac LE function Correlation).

a. Reviewing the data levels from week 1, what variables can be used in a Pearson’s Correlation Table (which is what Excel produces)?

b. Place the table here.

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