Statistics

IST 615 Business Intelligence

Referencing Styles : Not Selected | Pages : 9

Course Code: IST 615
Course Title: Business Intelligence
University: Cleveland State University
Country: US

Task: This assignment requires understanding the concepts explained in data mining, predictive analytics and machine learning sections.(a) For this exercise, your goal is to build a model to identify inputs or predictors that differentiate risky customers from others (based on patterns pertaining to previous customers) and then use those inputs to predict new risky customers. This sample case is typical for this domain. The sample data t...

PRJ 3036 Research Project II

Referencing Styles : APA | Pages : 4

Course Code: PRJ 3036
Course Title: Research Project II
University: Sunway University
Country: MY

Discuss perspectives, principles and theoretical fundamentals in relations to the hospitality industry.Apply the appropriate managerial skills, tools and techniques in managing hospitality operations.Communicate and interact effectively with multiple stakeholders in diverse social, cultural and environmental contexts.Embed empathy, responsibility, integrity and professionalism in making business and service decisions.Function effectively as an in...

STA1003 Statistics

Referencing Styles : Harvard | Pages : 44

Course Code: STA1003
Course Title: Statistics
University: Australian Catholic University
Country: AU

Question 1(4marks):Google ‘bad graph’. Fromany of the numerous examples that will be shown in the search results, select onethat relates in some way to your field of study. Include a picture of the graph(0.5 mark)and the URL(0.5 mark)in your answer.Based on the criteria discussed in the lecture and tutorial, identify andexplain three things you think make it a ‘bad graph’and whichcould lead to the graph being misinterprete...

CP3403 Data Mining

Referencing Styles : IEEE | Pages : 4

Course Code: CP3403
Course Title: data mining
University: James Cook University
Country: AU

Task: The assessment structure has been designed to give you an opportunity to develop and demonstrate both individual ability as well as teamwork skills. Assignments can be worked as a group (three students at maximum except exceptional cases approved by your lecturer). Please ensure group members must equally contribute to the group work. Also, all group members must participate in the presentation. Aims Familiarise with some well-kn...

BIOSCI 220 Quantitative Biology

Referencing Styles : APA | Pages : 6

Course Code: biosci 220
Course Title: Quantitative Biology
University: Auckland University of Technology
Country: NZ

Complete one quiz with one post on piazza commenting about someone else question and come up with question with regards of rstudio for example The main issues with the lefthand question include 1) lack of detail, and 2) no sign the student has attempted anything, 3) no specifics: what in particular are they trying to achieve? The righthand question is great, it shows the student has thought about the issue and has engaged with the material, the s...

QAC020X354H Data Science

Referencing Styles : Harvard | Pages : 6

Course Code: QAC020X354H
Course Title: Data Science
University: University of Roehampton
Country: UK

This is an individual assignment and you are required to write a critical and informative report. Task-1: Critically reflect on the following aspects of Assignme Planning, organisation and teamwork; Communication, negotiation and conflict resolution; Fair division of labour based on individual group member’s willingness and ability, and putting all the pieces of the assignment together; Your own contribution to the group. If you were to do ...

ADS 504 Data Science Machine Learning

Referencing Styles : Open | Pages : 2

Course Code: ADS504
Course Title: Data Science Machine Learning
University: Adler University
Country: US

Using the confusion matrix and report in the Categorical Data for Reviews section summarize the results you obtained using the balanced and unbalanced perceptron. Report it in terms of both f1 score and accuracy. Of all the methods used on the clothing ratings dataset, which of them performs best as a classifier: would you recommend this system to predict product ratings?

CJUS 4370 Data Analytics and Crime

Referencing Styles : Open | Pages : 4

Course Code: CJUS 4370
Course Title: Data Analytics and Crime
University: Adler University
Country: US

A researcher believes that maximum security inmates have a more lengthy arrest record than minimum security inmates. She collects a sample of 225 inmates from the minimum security prison and 180 inmates from the maximum security prison and computes the following data from the samples: Mean Standard Deviation Minimum: 12.4 3.4 Maximum: 14.1 2.8 Calculate the 99% CI for each group. Based on these data, is the researcher correct that max...

MIS 600 Applied Analytics for Business

Referencing Styles : Open | Pages : 6

Course Code: MIS 600
Course Title: applied analytics for business
University: Grand Canyon University
Country: US

Task: Build a simple linear model by regressing Y on X and testing whether or not a relationship exists between the number of drivers and the number of trucks. Address the following questions in your written response:1. After ftting the model, plot the standardized residuals (on vertical axis) vs. the standardize predictions (on horizontal axis). Is there a pattern? How would you interpret the pattern or lack of pattern?2. After ftting the m...

STAT6200 Biostatistics

Referencing Styles : APA | Pages : 10

Course Code: STAT6200
Course Title: Biostatistics
University: Torrens University
Country: AU

Paper 1: Read theabstract, introduction, methods and Table 2from Ataey et. al. (2020) and answer the following questions:1.What was the purpose of the research?2.What kind of data was used, and what statistical analysis was performed on the data? 3.Refer to Table 2.Describe thecorrelation between overweight, obesity, BMI and HDI for both men and women.4.What inferential statistics were used for analysis of the data summarised in Table 2, and why?...

We Can Help!

Are you confident that you will achieve the grade?
Our best Expert will help you improve your grade

Free tools

Know more

Refer & earn

Just refer 5 friends to earn more than $2000.