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. Research suggest that romantic background music increases the likelihood that a woman will give her phone number to a man she has just met (Gueguen & Jacob, 2010)

10. Research suggest that romantic background music increases the likelihood that a woman will give her phone number to a man she has just met (Gueguen & Jacob, 2010).
In the study, women spent time in a waiting room with background music playing. In one condition, the music was a popular love song and for the other condition the
music was a neutral song. The participant was then moved to another room in which she was instructed to discuss two food products with a young man. The men were part
of the study and were selected because they had been rated as average in attractiveness. The experimenter returned to end the study and asked the pair to wait alone
for a few minutes. During this time, the man used a scripted line to ask the woman for her phone number. The following table presents data similar to those obtained in
the study, showing the number of women who did or did not give their numbers for each music condition. phone number no number Romantic Music 21 19 40 Neutral Music 9
31 40 _______________________________________________ 30 30 Is there a significant difference between the two types of music? Test with ox=.05

suppose that the average annual income of a defense attorney is $150,000 with a standard deviation of $40,000. Assume that the income distribution is normal. What is the probability that the average annual income of a sample of 100 defense attorneys is more than $120,000?

suppose that the average annual income of a defense attorney is $150,000 with a standard deviation of $40,000. Assume that the income distribution is normal. What is
the probability that the average annual income of a sample of 100 defense attorneys is more than $120,000?

You have a 3 item scale and the inter-item correlations are as followed: item 1 item 2 item 3 item1 item 2 0.22 item 3 0.28 0.37 What is the Cronbach’s alpha?

You have a 3 item scale and the inter-item correlations are as followed: item 1 item 2 item 3 item1 item 2 0.22 item 3 0.28 0.37 What is the Cronbach’s
alpha? Round to the second decimal place, if needed.

, how many different random samples of four accounts are possible?

A simple random sampling uses a sample of size n from a population of size N to obtain data that can be used to make inference about the characteristics of a
population. supposed that from a population of 50 banks accounts, we want take a random sample of four account in order to learn about the population, how many
different random samples of four accounts are possible?, how many
different random samples of four accounts are possible?, how many
different random samples of four accounts are possible?

Evaluating Staffing Process Results The Keepon Trucking Company (KTC)

Evaluating Staffing Process Results The Keepon Trucking Company (KTC) is a manufacturer of custom-built trucks. It does not manufacture any particular truck lines,
styles, or models. Rather, it builds trucks to customers’ specifications; these trucks are used for specialty purposes such as snow removal, log hauling, and military
cargo hauling. One year ago, KTC received a new, large order that would take three years to complete and required the external hiring of 100 new assemblers. To staff
this particular job, the HR department manager of nonexempt employment hurriedly developed and implemented a special staffing process for filling these new vacancies.
Applicants were recruited from three sources: newspaper ads, employee referrals, and a local employment agency. All applicants generated by these methods were
subjected to a common selection and decisionmaking process. All offer receivers were given the same terms and conditions in their job offer letters and were told there
was no room for any negotiation. All vacancies were eventually filled. After the first year of the contract, the manager of nonexempt employment, Dexter Williams,
decided to pull together some data to determine how well the staffing process for the assembler jobs had worked. Since he had not originally planned on doing any
evaluation, Dexter was able to retrieve only the following data to help him with his evaluation: 1. Determine the yield ratios (offer receivers / applicants, new hires
/ applicants), time lapse or cycle times (days to offer, days to start), and retention rates associated with each recruitment source. 2. What is the relative
effectiveness of the three sources in terms of yield ratios, cycle times, and retention rates? 3. What are some possible reasons for the fact that the three sources
differ in their relative effectiveness? 4. What would you recommend Dexter do differently in the future to improve his evaluation of the staffing process? Case study
completed with the following requirements: – 3 page minimum – Include at least 2 scholarly references – Title page, narrative, and references list in APA format – Any
calculations explained in this case study should be typed in the same narrative prose as the rest of the paper. Including calculations in the paper must not result in
extra white space or otherwise result in a paper that is less than three full pages of typed analysis and discussion. – Do not add extra spaces between lines, do not
add extra white space at the top or bottom of pages, and do not use margins greater than one-inch. Doing so will result in a short paper and a significant grading
reduction. – Graduate-level analysis and discussion of case study scenarios requires good narrative prose. As such, please do not submit bulleted or numbered
statements in case studies. – Use tables and figures sparingly; if these are used they must be captioned correctly in the APA format and do not count toward the
three-page minimum of typed narrative. – The APA format requires that you insert in-text citations at the correct places in the narrative each and every time someone
else influenced your work and when you use the ideas, statistics, terms or information of others.

A decision maker subjectively assigned the following probabilities to the four outcomes of a random experiment P(E1)=.10 P(E2)=.15 P(E3)=.40 P(E4)=.20, Are these probability assignment valid?

A decision maker subjectively assigned the following probabilities to the four outcomes of a random experiment P(E1)=.10 P(E2)=.15 P(E3)=.40 P(E4)=.20, Are these
probability assignment valid? explain

What is your style of developing others?

What is your style of developing others? Are you a shaman, a priest, an elected leader, a missionary, or a mystic healer in your approach to teaching? How did you
develop your style?

Describe techniques used in decision-making.

Assignment Instructions Learning Objectives Describe techniques used in decision-making.Assignment Instructions Learning Objectives Describe techniques used in decision-making. Examine decision-making models. Apply decision-making techniques. Prompt What
criteria do you recommended to determine the credibility of a source of information? Instructions Develop a list of no less than 10 elements you would use to determine
the credibility of facts, articles, websites, news, etc. Thoroughly explain each element and why it is important Your response can take the form of a table in Word or
PowerPoint presentation. Include at least 3 credible references to support your recommendations
Examine decision-making models. Apply decision-making techniques. Prompt What
criteria do you recommended to determine the credibility of a source of information? Instructions Develop a list of no less than 10 elements you would use to determine
the credibility of facts, articles, websites, news, etc. Thoroughly explain each element and why it is important Your response can take the form of a table in Word or
PowerPoint presentation. Include at least 3 credible references to support your recommendations

System Strategies, SDLC , and project management

1. Topics: System Strategies, SDLC , and project management, keeping in mind the topics presented in this week’s module and your Research Project. Evaluate, synthesize
and summarize the data obtained from your research on your selected current event. The information that you utilize to construct your summary data must relate to
events that are newsworthy and currently in the media. 2. Have you had to work under similar circumstances where you were in a position and had to settle with
utilizing technology resources that did not meet the necessary standards for you to perform your assigned tasks efficiently or that jeopardized business processes or
operations?

Movie Theatre Attendance

For the questions below, use the most efficient Excel formula or procedure to find your answer. Calculations by hand (or calculator) should only be used to check your
answers. Show relevant Excel output and/or formulas and results. For this assignment you will be using the Movie Theatre Attendance.xlsx file from BlackBoard.
Immediately save this file to your H: drive or memory stick. For purposes of this assignment consider these to be sample data.
Please complete the following tasks:
Question 6 of Movie Theatre Attendance.xlsx asks college students (who go to the movie theatre) “how much further [they] would drive beyond the cinema nearest to
[them] to see a movie at a ‘big screen’ theatre?” Recode the variable: 0:0, 1:5, 2:17.5, 3:37, 4:62. Eliminate blanks. Is there a significant difference between
variances of responses for females compared to males? [Hint: you can either sort the database according to gender or (for a bonus mark) you can use a pivot table to
find the counts and variances.] Use an F test (on pages A-2 and A-3 of your Class Notes book). Show your hypotheses, calculation of F* using Excel, and either the
critical F value(s) or p-value, calculated by Excel, and decision. Describe the difference if one exists. [9]
In this task you will use ANOVA to analyze the relationship between Q14 (AGE) and Q2 (“Indicate how important you consider going to the movies at a movie theatre,
relative to other leisure activities.”) Recode the Age variable to classmarks: 1:17.5, 2:19.5, 3:22, 4:25, 5:28. Use ANOVA – single factor in Excel’s Data Analysis
ToolPak to test whether there is a relationship between the two variables. Show your hypotheses, ANOVA output, and decision – referring to numbers in the ANOVA output.
If there is a relationship, describe it in non-statistical language, with a visual analysis of the means. Then, use Excel to create formulas for a Multiple Means
(Fishers) comparison for the two means that differ the most. Show the Excel formulas that are used to do the comparison, using constants (rather than cell references)
from the ANOVA output as well as the Excel T… function. (Do not use the output from the ANOVA – F14 file.) How does the Fishers test support your conclusion? (Note:
Consider the categories of Q2 to be your treatments. In a future unit we will learn of a better way of handling this type of problem.) [13]

Redo the question above (Q14 vs. Q2) using a Kruskal-Wallis test. Use the ANOVA – F14.xlsx template found on Blackboard to do your calculations. Show your modified
hypotheses, results from the output and decision. Do your results match those from the question above? Why or why not? (Support with appropriate output.) Describe the
relationship, if one exists, in words that a non-statistician would understand. (Note: it is not necessary to do a Fishers’ comparison.) [11]
Test to see if there is a relationship between Q11 (ethnic background) Q7b (importance of the Internet for searching information about movies) Eliminate blanks. Show
your hypotheses, appropriate output, decision based on the output. Describe the difference, if one exists. [Hint: Use the ANOVA-F14.xlsx template.] [9]
Question 6 of Movie Theatre Attendance.xlsx asks college students (who go to the movie theatre) “how much further [they] would drive beyond the cinema nearest to
[them] to see a movie at a ‘big screen’ theatre?” Recode the variable: 0:0, 1:5, 2:17.5, 3:37, 4:62. Exclude blanks. Is there a significant difference between means of
responses for females compared to males? [Hint: Do question #1 first.] Show your hypotheses, appropriate output for this two-sample hypothesis test from the Data
Analysis Toolpak, p-value from the output, and decision. Describe the difference, if one exists. [8]