Bachelor of Science in Statistics

学历文凭
Bachelor Degree

专业院系
统计

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国际学生入学条件
English language demonstration is required for all applicants processed in International Admissions. We accept the Test of English as a Foreign Language (TOEFL) iBT version or the International English Language Testing System (IELTS) Academic version of the exams.
TOEFL iBT Total Score - 61 total.
IELTS Academic Overall Score - 6.0 overall
TOEFL iBT Total Score - 61 total.
IELTS Academic Overall Score - 6.0 overall
IDP—雅思考试联合主办方

雅思考试总分
6.0
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- 雅思总分:6
- 托福网考总分:61
- 托福笔试总分:160
- 其他语言考试:NA
CRICOS代码:
申请截止日期:请 与IDP联系 以获取详细信息。
课程简介
Statistics is the science of learning from data. Majors study collecting and analyzing all kinds of data, and reporting the results of the analysis. Designs of Experiments are used to plan data collection in experimental settings, such as in medical research. Surveys are used to collect opinions from samples in populations, such as in political polling. Observational data is collected commonly by business as part of standard business processes,such as in website analytics. Statistical methods are used to process data into easily read visual displays, and into summary statistics for interpretation, decision making, and reporting.<br><br>Statistics has been a rapidly growing science for many years and has many uses in other fields, such as Econometrics, Business Analytics, Machine Learning, and Visualization. Statistics is widely used by businesses and government organizations to understand changes in the economy and to make forecasts about future events based on past patterns in their data. Statistics is used to model relationships between variables and to predict future values of output variables from input variables. Statistical methods draw accurate inferences about large groups on the basis of a representative same from the group or population. Descriptive Statistics are used to summarize and visualize the collected data.<br><br>The methodology of statistics can be adapted to many types of problems. Due to the extensive development of computers and the collection of large databases, the need for statistical techniques has greatly expanded in recent years. A society like ours, which has become increasingly dependent on its data, has a growing need for statisticians.
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