Prepare a managerial report for the dean of the college that summarizes your assessment of the nature of cheating by business students at Bayview University. Be sure to include the following questions. 1. Develop 95% confidence intervals for the proportion of all students, the proportion of male students, and the proportion of female students who were involved in some type of cheating. 2. Conduct a hypothesis test to determine if the proportion of business students at Bayview University who were involved in some type of cheating is less than that of business students at other institutions as reported by the Chronicle of higher education. The article reported 56% of business students. 3. Conduct a hypothesis test to determine if the proportion of business students at bayview University who were involved in some type of cheating is less than that of non business students at other institutions as reported by the Chronicle of higher education. The article reported 47% non business students. 4. What advise would you give to the Dean based upon your analysis of the data?

Student/Copied from Internet/Copied on Exam/Collaborated on Individual Project/Gender/ 1 No No No Female
2 No No No Male
3 Yes No Yes Male
4 Yes Yes No Male
5 No No Yes Male
6 Yes No No Female
7 Yes Yes Yes Female
8 Yes Yes Yes Male
9 No No No Male
10 Yes No No Female
11 No No No Male
12 No Yes Yes Female
13 No No Yes Male
14 No No No Male
15 No Yes Yes Male
16 No No No M ale
17 No No No Male
18 No No No Female
19 No No No Female
20 No No Yes Male
21 No No No Male
22 Yes No No Female
23 No No No Female
24 No No No Male
25 No No Yes Female
26 No Yes No Female
27 No No No Female
28 No No Yes Male
29 No No Yes Male
30 No No No Male
31 No No No Male
32 Yes Yes Yes Female
33 No Yes Yes Male
34 No No No Male
35 No No No Female
36 Yes No Yes Female
37 Yes No Yes Male
38 No No No Female
39 Yes Yes Yes Male
40 Yes Yes Yes Female
41 No Yes Yes Male
42 No No No Female
43 No No Yes Female
44 No No Yes Male
45 No No Yes Male
46 No No No Female
47 No No No Male
48 Yes No No Male
49 No No No Male
50 Yes No No Female
51 No No No Male
52 No No No Male
53 Yes Yes No Male
54 No No No Male
55 No No No Female
56 No No Yes Male
57 No No No Male
58 No No No Female
59 No No No Female
60 No No No Female
61 No No No Female
62 No No No Male
63 No No No Female
64 No No No Female
65 No No No Male
66 No Yes Yes Female
67 No No No Female
68 Yes Yes Yes Female
69 No No No Male
70 No No No Female
71 No No No Female
72 No No No Male
73 No No No Male
74 No Yes Yes Female
75 No No No Female
76 No Yes Yes Female
77 No No No Female
78 No No No Male
79 No No No Female
80 No No No Female
81 No No No Female
82 No No No Male
83 No No No Male
84 No No No Female
85 No Yes Yes Male
86 No No No Male
87 No No Yes Male
88 No No No Male
89 No Yes Yes Male
90 No No No Female

|Number of students = 90 | |Number of male students = 48 | |Number of female students = 42 | | | |Number of students who have cheated in at least one form = 37 | |Number of male students who have cheated in at least one form = 21 | |Number of female students who have cheated in at least one...

...Trajico, Maria Liticia D.
BSEd III-A2
REFLECTION
The first thing that puffs in my mind when I heard the word STATISTIC is that it was a very hard subject because it is another branch of mathematics that will make my head or brain bleed of thinking of how I will handle it. I have learned that statistic is a branch of mathematics concerned with the study of information that is expressed in numbers, for example information about the number of times something happens. As I examined on what the statement says, the phrase “number of times something happens” really caught my attention because my subconscious says “here we go again the non-stop solving, analyzing of problems” and I was right. This course of basic statistic has provided me with the analytical skills to crunch numerical data and to make inference from it. At first I thought that I will be alright all along with this subject but it seems that just some part of it maybe it is because I don’t pay much of my attention to it but I have learned many things. I have learned my lesson.
During our every session in this subject before having our midterm examination I really had hard and bad times in coping up with this subject. When we have our very first quiz I thought that I would fail it but it did not happen but after that, my next quizzes I have taken I failed. I was always feeling down when in every quiz I failed because even though I don’t like this...

...3
Question 2a 5
Question 2b 6
Question 2c 7
Question 3a 8
Question 3b 8
Question 3c 10
Question 3d 11
Question 4 12
Question 5 14
References 15
Question 1
The sampling method that Mr. Kwok is using is Stratified Random Sampling Method. In this case study, Mr Kwok collected a random sample of 1000 flights and proportions of three routes in the sample. He divides them into different sub-groups such as satisfaction, refreshments and departure time and then selects proportionally to highlight specific subgroup within the population. The reasons why Mr Kwok used this sampling method are that the cost per observation in the survey may be reduced and it also enables to increase the accuracy at a given cost.
TABLE 1: Data Summaries of Three Routes
Route 1
Route 2
Route 3
Normal(88.532,5.07943)
Normal(97.1033,5.04488)
Normal(107.15,5.15367)
Summary Statistics
Mean
88.532
Std Dev
5.0794269
Std Err Mean
0.2271589
Upper 95% Mean
88.978306
Lower 95% Mean
88.085694
N
500
Sum
44266
Summary Statistics
Mean
97.103333
Std Dev
5.0448811
Std Err Mean
0.2912663
Upper 95% Mean
97.676525
Lower 95% Mean
96.530142
N
300
Sum
29131
Summary Statistics
Mean
107.15
Std Dev
5.1536687
Std Err Mean
0.3644194
Upper 95% Mean
107.86862
Lower 95% Mean
106.43138
N
200
Sum...

...Ch11 case Golf
1.
is mean driving distances of current balls
is mean driving distances of new balls
is mean driving distances of sampled current balls
is mean driving distances of sampled new balls
Use the test statistics and normal distribution table to get p-value.
If p-value is smaller than, then we reject H0, which means the mean driving distances of current balls and new balls are different.
2.
From the t distribution table we find that p-value is between 0.05 and 0.1.
With p-value >=0.05, we cannot reject H0, which indicates that there’s no sufficient evidence that the mean driving distances of two balls are different.
There’s no enough proof to show that the coating will make the driving distances of the balls shorter. Since there’s no big difference between the driving forces of two balls, using the more durable new balls to increase the market share of Par, Inc., seems feasible.
3.
From the descriptive statistics we can see that the mean driving distances of two kinds of balls are close. The distances of current balls (270.3) are a little bigger than that of new balls (267.5). With the same maximum, the minimum distance of current balls are 5 yards larger than that of new balls. And the variance of the new balls (97.9) is bigger than that of current balls (76.6), which means that new balls have greater variability of driving distances.
4. =0.05 t0.025=2.0227 d.f=39
The...

...StatisticsCase Study-1
Age Weeks Employed
55 21
30 18
23 11
52 36
41 19
25 12
42 7
45 25
25 6
40 21
25 13
25 11
59 34
49 27
33 18
35 20
a.
Age Weeks Employed
Mean 37.75 Mean 18.6875
Standard Error 2.974195 Standard Error 2.188452
Median 37.5 Median 18.5
Mode 25 Mode 21
Standard Deviation 11.89678 Standard Deviation 8.753809
Sample Variance 141.5333 Sample Variance 76.62917
Kurtosis -1.17143 Kurtosis -0.21626
Skewness 0.337402 Skewness 0.522601
Range 36 Range 30
Minimum 23 Minimum 6
Maximum 59 Maximum 36
Sum 604 Sum 299
Count 16 Count 16
Confidence Level(99.0%) 8.764138 Confidence Level(99.0%) 6.44877
b. 99% confidence interval estimate for mean age of newly hired employees;
37.75 ¡V 8.76 = 28.99
to
37.75 + 8.76 = 46.51
c. Hypothesis:
Decision Rule: Reject Ho if t > t-critical
Do not reject Ho if t < t-critical
t-critical = t0.01,15 =2.602
0.771 < 2.602
Therefore, at a 99% Confidence Level the Null Hypothesis can not be rejected and we can not state that Riverside¡¦s mean duration of employment weeks is any greater than the mean duration of employment weeks within the rest of California.
d. Is there a relationship between the age of a newly employed individual and the number of weeks of employment?
By using a scatter plot and plotting the number of weeks employed in respect to the ages of the workers, you can see that the points are distributed along a...

...
MBA 501A – [STATISTICS]
ASSIGNMENT 4
INSTRUCTIONS: You are to work independently on this assignment. The total number of points possible is 50. Please note that point allocation varies per question. Use the Help feature in MINITAB 16 to read descriptions for the data sets so that you can make meaningful comments.
[10 pts] 1. Use the data set OPENHOUSE.MTW in the Student14 folder. Perform the Chi
Square test for independence to determine whether style of home and location are are related. Use α = 0.05. Explain your results.
Pearson Chi-Square = 37.159, DF = 3, P-Value = 0.000
Likelihood Ratio Chi-Square = 40.039, DF = 3, P-Value = 0.000
The P value associated with out chi square is 0.00 and the Alpha level is 0.05 so we reject the null hypothesis. The P- value is less than the alpha level. So, we conclude that style of homes and locations are not related.
[10 pts] 2. Use the data set TEMCO.MTW in the Student14 folder. Perform the Chi
Square test for independence to determine whether department and gender are related. Use α = 0.05. Explain your results.
Pearson Chi-Square = 1.005, DF = 3, P-Value = 0.800
Likelihood Ratio Chi-Square = 1.012, DF = 3, P-Value = 0.798
The P-value associated with out chi square is 0.800 and the Alpha level is 0.05 we can see that we are unable to reject the null hypothesis. The P- value is greater than the alpha level. So, we conclude that departments and gender are related..
[30 pts] 3. Use the data set...

...Statistics 1
Business Statistics
LaSaundra H. – Lancaster
BUS 308 Statistics for Managers
Instructor Nicole Rodieck
3/2/2014
Statistics 2
When we hear about business statistics, when think about the decisions that a manager makes to help make his/her business successful. But do we really know what it takes to run a business on a statistical level? While some may think that businessstatistics is too much work because it entails a detailed decision making process that includes calculations, I feel that without educating yourself on the processes first you wouldn’t know how to imply statistics. This is a tool managers will need in order to run a successful business. In this paper I will review types of statistical elements like: Descriptive, Inferential, hypothesis development and testing and the evaluation of the results. Also I will discuss what I have learned from business statistics.
My description of Descriptive statistics is that they are the numerical elements that make up a data that can refer to an amount of a categorized description of an item such as the percentage that asks the question, “How many or how much does it take to “ and the outcome numerical amount. According to “Dr. Ashram’s Statistics site” “The quantities most commonly used to measure the dispersion of the values about...

...
NAME:
Swinburne ID:
Save this document with your Swinburne ID number and name in the file name
[eg Surname_1234567.docx].
ANSWERS TO STA10003 Mid-Unit Test
Question 1:
a. The Protein Additive
b. Chicken shell thickness
c. The method used is Experimental, because the researcher manipulated the protein additive intake.
d. The research hypothesised is that the shell thickness of the chickens with protein additive added to their feed, would be thicker than the regular fed chickens.
e. All egg producers
f. p= 0.555
g. The sample means does not differ significantly because the p value is higher than 0.05
h. The 95% interval indicates that the mean shell thickness is between 0.60mms to 1.10mms more than protein fed chicken eggs.
i. FORMAL REPORT:
It was suggested that chickens fed protein additive would produce eggs with thicker shells than regular fed chickens.
In a sample of 49 chicken, the average shell thickness for regular fed chickens.
( mms ,mms, ) was greater than the average protein additive fed chickens
(, mms,). However, an independent samples t-test shows that this difference in mean shell significance is not significant,, p = .555. The 95% confidence interval indicates that, on average, shell thickness is between .60mms less and 1.10mms more in the regular fed chickens than the chickens fed protein additive.
There is insufficient evidence to suggest that chickens fed protein additive produce thicker egg shells than regular fed...

...ENMA 420/520
Statistical Processes
Mid-Term
Take Home
Due 17 March 2007
Name: Student#
You may use your course textbooks, notes and appropriate computer software (e.g., Excel) in solving the problems in this take home quiz. However, all work is to be done independently with no consultation with anyone else or with anyone else’s notes. The Old Dominion University honor system is to be strictly adhered to in the preparation of the responses to this quiz. By signing this test, I pledge that I have adhered to the Old Dominion University honor system and the requirements of this quiz.
Student signature
You have two weeks to complete this quiz: it is due prior to class on March 17th. You must email me your test response as ONE Excel file attachment to mcochran@odu.edu.
Please be sure to show all work in order to facilitate partial credit. You may use software in the process of determining the answer. However, if you do so please do not simply provide “the answer”. For example, if you use Excel, be sure all appropriate formula calculations are visible. Note that all graphs, tables and other work must be labeled to a level of professional quality. All work is to be done independently. This quiz contains 7 questions in 4 pages.
1. (13 Points) The time in days between breakdowns of two machines is exponentially distributed with a mean time between failure of 5 for machine A and 6 for machine B.
a. What is the...