首页
网站开发
桌面应用
管理软件
微信开发
App开发
嵌入式软件
工具软件
数据采集与分析
其他
首页
>
> 详细
代写program、SQL编程设计代做
项目预算:
开发周期:
发布时间:
要求地区:
• Complete all tasks in this assignment.
• Some of the tasks will begin with the word Excel, which means you need to use Excel to complete the task and copy the necessary output to the word document. If the task begins with Written, that means you need to work out the calculation and write/type your steps in the document. If the task begins with SQL, it means you need to write SQL queries to complete the task, and the screenshot of the SQL queries should be included in the document. If the task begins with Weka, it means you need to use Weka to complete the task, and the screenshot of the Weka should be included in the document.
Question 1.
You are given the following data about the water consumption of a household.
1. (Excel) Visualize the data using an appropriate chart. Justify your choice
of chart so that it can illustrate enough information in a correct way.
2. (Written) Can you suggest a relationship between the average monthly
temperature and water consumption? Please quantify such a relationship.
(Precision of your numbers should be in 2 decimal places).
3. (Excel) Normalize the column Average Monthly Temperature using Zscore
normalization.
4. (Excel) Normalize the column Water Consumption using min-max normalization.
Question 2.
You are given the following data about the performance review scores of employees.
1. (Written) To predict the performance result for Henry, is it better to
apply K-NN algorithm or K-means algorithm? Explain your reason.
2. (Weka) Conduct a prediction for Henry using an appropriate algorithm.
3. (Written) Demonstrate the prediction result for Henry using the perceptron
algorithm.
Question 3.
You are given the course feedback data of Kevin in COMP7990 in 2023-24
semester 1. They are real data.
1. (Excel) Compute the average score for each question in the feedback form.
The score should be in the scale of 0 to 5.
2. (Excel) Contrast the result from DAAI students and non-DAAI students.
Note: ITM students enrolled in section 1, DAAI students enrolled in section
2, and MPA students enrolled in section 7.
3. (Written) By looking at question 11 only, can you argue that DAAI
students are more satisffed than non-DAAI students? Justify your answer
using an appropriate statistical test.
4. (SQL) Convert the two sheets into two tables in a database. Also, insert
the data into the tables.
5. (SQL) Write a SQL query to compute the average score for each question
in the feedback form.
6. (SQL) Write a SQL query to retrieve the average score for Q11 for each
section.
7. (SQL) Write a SQL query to retrieve the average score for Q11 for each
section but exclude the students who attend less than 70% of the class.
8. (SQL) Write a SQL query to display the section (section 1, 2, or 7) that
has the highest average score for Q11 and also the average score.
Question 4.
Given a set of sample data, calculate the following statistics.
12, 18, 23, 29, 35, 42, 48, 50, 54, 60, 67, 74, 82, 90
1. (Excel) Calculate the median.
2. (Written) Calculate the range.
3. (Written) Calculate the IQR.
4. (Written) Identify any outliers using the IQR.
5. (Excel) Calculate the mean of the data set.
6. (Excel) Calculate the variance of the data set.
Question 5.
The table below shows the scores of three students on 8 assessments. We would like to know if these three students have signiffcantly different average scores. Assume the scores of Student A, Student B, and Student C follow normal distributions.
Questions
1. (Written) How should we handle the missing data for Student C in Assessment
7 and Assessment 8? What impact might this have on our analysis?
2. (Written) What is the null hypothesis for comparing the average scores
of the three students?
3. (Written) Select an appropriate statistical test to determine if there are
signiffcant differences in the average scores of the students. Explain your
choice.
4. (Written) If the test indicates a signiffcant difference, what follow-up
analysis could be performed to identify which students’ scores differ from
each other?
软件开发、广告设计客服
QQ:99515681
邮箱:99515681@qq.com
工作时间:8:00-23:00
微信:codinghelp
热点项目
更多
代写project real analysis调试...
2025-07-25
代做pstat 160a– summer 2025...
2025-07-25
代做msc physics – research ...
2025-07-25
代做program、代写java/c++编程...
2025-07-25
代写program、r语言编程代做
2025-07-25
comp3331代做、python设计程序...
2025-07-25
comp3331代做、python设计程序...
2025-07-23
代做cs617程序、代写r编程语言
2025-07-23
代写mgt201a、java/python编程...
2025-07-23
代做cade10002 – lab 4 signa...
2025-07-23
代写cld9015 understanding ev...
2025-07-23
代写efim10023 mathematics fo...
2025-07-23
代做algorithms and data stru...
2025-07-23
热点标签
mktg2509
csci 2600
38170
lng302
csse3010
phas3226
77938
arch1162
engn4536/engn6536
acx5903
comp151101
phl245
cse12
comp9312
stat3016/6016
phas0038
comp2140
6qqmb312
xjco3011
rest0005
ematm0051
5qqmn219
lubs5062m
eee8155
cege0100
eap033
artd1109
mat246
etc3430
ecmm462
mis102
inft6800
ddes9903
comp6521
comp9517
comp3331/9331
comp4337
comp6008
comp9414
bu.231.790.81
man00150m
csb352h
math1041
eengm4100
isys1002
08
6057cem
mktg3504
mthm036
mtrx1701
mth3241
eeee3086
cmp-7038b
cmp-7000a
ints4010
econ2151
infs5710
fins5516
fin3309
fins5510
gsoe9340
math2007
math2036
soee5010
mark3088
infs3605
elec9714
comp2271
ma214
comp2211
infs3604
600426
sit254
acct3091
bbt405
msin0116
com107/com113
mark5826
sit120
comp9021
eco2101
eeen40700
cs253
ece3114
ecmm447
chns3000
math377
itd102
comp9444
comp(2041|9044)
econ0060
econ7230
mgt001371
ecs-323
cs6250
mgdi60012
mdia2012
comm221001
comm5000
ma1008
engl642
econ241
com333
math367
mis201
nbs-7041x
meek16104
econ2003
comm1190
mbas902
comp-1027
dpst1091
comp7315
eppd1033
m06
ee3025
msci231
bb113/bbs1063
fc709
comp3425
comp9417
econ42915
cb9101
math1102e
chme0017
fc307
mkt60104
5522usst
litr1-uc6201.200
ee1102
cosc2803
math39512
omp9727
int2067/int5051
bsb151
mgt253
fc021
babs2202
mis2002s
phya21
18-213
cege0012
mdia1002
math38032
mech5125
07
cisc102
mgx3110
cs240
11175
fin3020s
eco3420
ictten622
comp9727
cpt111
de114102d
mgm320h5s
bafi1019
math21112
efim20036
mn-3503
fins5568
110.807
bcpm000028
info6030
bma0092
bcpm0054
math20212
ce335
cs365
cenv6141
ftec5580
math2010
ec3450
comm1170
ecmt1010
csci-ua.0480-003
econ12-200
ib3960
ectb60h3f
cs247—assignment
tk3163
ics3u
ib3j80
comp20008
comp9334
eppd1063
acct2343
cct109
isys1055/3412
math350-real
math2014
eec180
stat141b
econ2101
msinm014/msing014/msing014b
fit2004
comp643
bu1002
cm2030
联系我们
- QQ: 9951568
© 2021
www.rj363.com
软件定制开发网!