Saudi Electronic University Organizational Culture and Change Management Paper Change Management Plans (100 points) F
Any change management plan must take into account the culture of an organization. For instance, some organizations prize the inclusion of their employees in all aspects of operations, while other organizations have a top-down approach to management. Creating a plan without taking this cultural background into context can be problematic for the success of a change initiative.
In a three-to-five page paper, search the virtual library to find scholarly articles relative to change initiatives which apply to an organization in KSA. Consider the impact on the individuals concerned and the impacts on the organization. Assess the cultural elements that you believe may impact the development of change strategies and implementation of change plans. Synthesize the information and discuss challenges and strategies that should be considered to address (or overcome) these cultural elements which could negatively affect the implementation of a change strategy.
Your well-written paper should meet the following requirements:
Be three-to-five pages in length, which does not include the title page and reference pages, which are never a part of the content minimum requirements.
Use APA style guidelines.
Support your submission with course material concepts, principles, and theories from the textbook and at least three scholarly, peer-reviewed journal articles.
It is strongly encouraged that you submit all assignments into the Turnitin Originality Check prior to submitting it to your instructor for grading. If you are unsure how to submit an assignment into the Originality Check tool, review the Turnitin Originality Check Student Guide for step-by-step instructions.
Review the grading rubric to see how you will be graded for this assignment. MTH220e
Statistics Methods and Inference
Tutor-Marked Assignment
July 2019 Presentation
MTH220e
Tutor-Marked Assignment
TUTOR-MARKED ASSIGNMENT (TMA)
This assignment is worth 16 % of the final mark for MTH220e Statistics Methods and Inference.
The cut-off date for this assignment is 16 October 2019, 2355 hours.
Note to Students:
You are to include the following particulars in your submission: Course Code, Title of the TMA,
SUSS PI No., Your Name, and Submission Date.
Question 1
(a)
(i)
Find the 0.05quantile of W, where W~ ?2(12).
(2 marks)
(ii)
Find the value of k such that P(W > k) = 0.01, where W~ ?2(15).
(2 marks)
(iii)
(b)
Find the best possible lower bound and the best possible upper bound on
P(W > 16.5), where W~ ?2(8).
(3 marks)
Consider a decision by mission controllers regarding scheduling tasks for an orbiting
astronomical platform. Because of its complexity and the hostile space environment,
the satellite system experiences random malfunctions in its various subsystems.
Controllers exert considerable effort to correcting these. One scientist has postulated
that any greater or lesser incidence of malfunctions in some subsystems may be
explained by differences in the satellites environment when exposed directly to the sun
as opposed to being shaded. If so, various tasks might be scheduled during particular
phases of orbit, thereby greatly increasing the satellites chances for meeting various
mission goals.
From the log of the shakedown orbits, during which system testing was done, the
number of malfunctions was noted. These are summarized in contingency Table 1,
which involves two qualitative variables. The position variable is represented by a
separate column for each attribute, one for when the platform is directly in line with the
sun and the other for when it is in Earths shadow. There is a different row for each
attribute of the second variable, the subsystem that malfunctioned. Five subsystems
have been deemed to be potentially affected by the sun: (1) data- transmission, (2)
power, (3) data collection, (4) reception, and (5) mechanical. The value within each cell
is the number of observations sharing the respective attributes for the two populations.
SINGAPORE UNIVERSITY OF SOCIAL SCIENCES (SUSS)
Page 2 of 6
MTH220e
Tutor-Marked Assignment
The data in Table Q1(b) are a representative random sample of the respective
populations for all malfunctions that might arise during the lifetime of the satellite
system. The scientist wishes to use these data to determine whether solar radiation
affects the incidence of subsystem malfunction. The null hypothesis being tested is that
exposure to the sun has no effect on any subsystems operating characteristics.
Carry out a chi-square test to determine whether this sample data provide sufficient
information to conclude that subsystem and position when a malfunction occurs are two
independent variables. You are required to state the hypotheses, compute the expected
frequencies, calculate the value of the test statistic and report the conclusions. Use
? = 0.01 in your analysis.
(20 marks)
Position
Subsystem
(1) Data Transmission
(2) Power
(3) Data Collection
(4) Reception
(5) Mechanical
(1) Direct Sunlight
30
10
43
41
12
(2) Earths Shadow
4
6
11
6
10
Table Q1(b)
Question 2
(a)
A study was conducted to investigate the association between the height of the
automobile from the top of the door to the ground and the luggage capacity of the
automobiles boot. The data is shown in Table Q2(a).
(i)
Determine the Pearson correlation coefficient between these two variables. You
need to show the details of your workings clearly.
(9 marks)
(ii)
Interpret and comment on the validity of your results.
(3 marks)
SINGAPORE UNIVERSITY OF SOCIAL SCIENCES (SUSS)
Page 3 of 6
MTH220e
Tutor-Marked Assignment
Automobile
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
Door to ground height
(X)
47.5
50.0
51.0
49.5
51.5
52.0
48.5
49.5
48.0
50.0
49.0
49.0
50.0
50.5
49.5
49.5
51.0
51.0
Luggage capacity
(Y)
16
12
15
10
18
12
10
11
12
11
13
12
18
9
11
13
18
17
Table 2(a)
(b)
Comment on the statement: Correlation is not causation. Illustrate using an example
of your choice.
(4 marks)
(c)
What is the difference between Pearson correlation coefficient and Spearman rank
correlation coefficient? Briefly discuss the advantage(s) of Spearman rank correlation
coefficient over the Pearson correlation coefficient.
(4 marks)
(d)
A sample data of the times (in minutes) that Mr. Tan waited for the bus for the past few
weeks was collected. A Wilcoxon signed rank test was used to analyze whether the data
provide sufficient evidence that on average, Mr. Tan waits more than 20 minutes for the
bus. The p value of the test is 0.257. At the 5 % level of significance, what is your
conclusion?
(2 marks)
SINGAPORE UNIVERSITY OF SOCIAL SCIENCES (SUSS)
Page 4 of 6
MTH220e
Tutor-Marked Assignment
Question 3
(a)
The following data were collected on the birth weights (in grams) of 15 babies who
suffered from Sudden Infant Death Syndrome (SIDS):
3345
3090
3629
3260
2041
4309
2240
3374
3714
3544
3289
2835
3487
3827
2013
Assume that the data can be reasonably modeled by a normal distribution. Interest
centered on comparing these figures with an underlying mean birth weight of 3300 g.
(b)
(i)
Perform a fixed-level testing at the 5 % level of significance of the null hypothesis
H0: µ = 3300 against the alternative hypothesis H1: µ ? 3300. Is this a one-sided or
two-sided hypothesis test? What is the distribution of the test statistic when H0 is
true? In your answers, state the value of the test statistic and the degrees of freedom.
By obtaining the boundary points of the rejection region for the test, draw your
conclusions. You are also required to use R and show the screenshots of the R
commands for this hypothesis test to verify the output results.
(15 marks)
(ii)
Based on this sample, construct a 90 % confidence interval for the mean birth
weight.
(4 marks)
A plastic casing for a magnetic disk is composed of two halves. The thickness of each half
is normally distributed with a mean of 2 millimeters and a standard deviation of 0.1
millimeter. The two halves are independent.
(c)
(i)
What is the mean and standard deviation of the total thickness of the two halves?
(5 marks)
(ii)
Determine the probability that the total thickness exceeds 4.3 millimeters.
(3 marks)
A study was conducted to estimate the costs of employee absences. Based on a sample of
176 blue-collar workers, it was estimated that the mean amount of paid time lost during a
three-month period was 1.4 days per employee with a standard deviation of 1.3 days. It was
also estimated that the mean amount of unpaid time lost during a three-month period was
1.0 day per employee with a standard deviation of 1.8 days.
(i)
Suppose that we randomly select a sample of 100 blue-collar workers. State the
appropriate distributions for the random variables under study. What is the
probability that the average amount of paid time lost during a three-month period
for the100 blue-collar workers will exceed 1.5 days?
(4 marks)
(ii)
What is the probability that the average amount of unpaid time lost during a threemonth period for the100 blue-collar workers will exceed 1.5 days?
(3 marks)
SINGAPORE UNIVERSITY OF SOCIAL SCIENCES (SUSS)
Page 5 of 6
MTH220e
Tutor-Marked Assignment
Question 4
(a)
In a classic study of problem solving, a researcher asked participants to mount a candle
on a wall in an upright position so that it would burn normally. One group of participants
was given a candle, matches, and a box of tacks. A second group was given the same
items, except the tacks and the box were presented separately as two distinct items. The
solution to this problem involves using the tacks to mount the box on the wall, which
creates a shelf for the candle. The researcher reasoned that the first group of participants
would have trouble seeing a new function of the box (a shelf) because it was already
serving a function (holding tacks). For each person, the amount of time to solve the
problem was recorded. The data obtained are shown in Table Q4(a) below.
Time to
solve
Box of Tacks
problems (in seconds)
Tacks and Box Separate
128
42
160
24
53
68
101
35
94
47
Table 4(a)
(i)
State the null and alternative hypotheses for the two-tailed test.
(2 marks)
(ii)
(b)
Solve and perform a two-sample t test at a significant level of ? = 0.01 to
determine whether these data indicate a significant difference between the two
conditions.
(12 marks)
Determine the missing values in the one-way ANOVA below.
Source
Treatment
Error
Total
SS
382.79
?
512.96
DF
3
20
23
MS
?
6.51
F statistic
?
Table 4(b)
(3 marks)
—- END OF ASSIGNMENT —-
SINGAPORE UNIVERSITY OF SOCIAL SCIENCES (SUSS)
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