Learning Outcomes
After
completing the course, the student should be able to:
• conduct and discuss a statistical survey with relevance based on the school‘s values ??and mission.
• interpret and construct different types of diagrams and, in conjunction with calculating different position and spread measurements.
• calculate probabilities in simple random situations with binomial, hypergeometric or Poisson distribution
• use the exponential and normal distributions as well as the central limit value set
• make approximations of binomial and hypergeometric distributions
• solve simple simulation problems
• interpret, apply and calculate confidence intervals for participations and waiting values, and perform associated tests based on different data materials
• use computer programs for statistical applications
• conduct and discuss a statistical survey with relevance based on the school‘s values ??and mission.
• interpret and construct different types of diagrams and, in conjunction with calculating different position and spread measurements.
• calculate probabilities in simple random situations with binomial, hypergeometric or Poisson distribution
• use the exponential and normal distributions as well as the central limit value set
• make approximations of binomial and hypergeometric distributions
• solve simple simulation problems
• interpret, apply and calculate confidence intervals for participations and waiting values, and perform associated tests based on different data materials
• use computer programs for statistical applications
Course Content
The course
deals with the role of statistics and probability calculations in mathematics,
as well as how statistical surveys can be designed, carried out and based on
the school‘s values ??and assignments.
The course deals with descriptive statistics with graphs, statistical measures and relationships such as regression and correlation, probability theory with studies of independent events and conditional probabilities, random variables, discrete probability distributions and some approximations. Furthermore, continuous probability distributions are studied, especially
the normal distribution and statistical inference where confidence intervals for units and waiting values ??are calculated.
The principle of hypothesis testing is clarified and applications leading to, among other things, chi-two tests are studied. In the class
used spreadsheets for applications and calculations on statistical materials.
The course deals with descriptive statistics with graphs, statistical measures and relationships such as regression and correlation, probability theory with studies of independent events and conditional probabilities, random variables, discrete probability distributions and some approximations. Furthermore, continuous probability distributions are studied, especially
the normal distribution and statistical inference where confidence intervals for units and waiting values ??are calculated.
The principle of hypothesis testing is clarified and applications leading to, among other things, chi-two tests are studied. In the class
used spreadsheets for applications and calculations on statistical materials.
Assessment
Examination
takes place through written examination and two individual assignments as well
as oral presentations.
Forms of Study
Forms of work
are lectures and exercises conducted individually and in groups as well as
compulsory seminars
Grades
The Swedish grades U–VG.
Score Reporting:
Assignments, 1 credits, U - G
Saline exam, 6.5 credits, U - VG
To obtain the grade well passed for the entire course, VG on the examination requires 6.5 credits and G on the assignment assignments 1 credits.
Prerequisites
- Algebra 7,5 credits
Other Information
Students in an online course require an acceptable
network connection and tools for communication with audio and video via the
Internet. The student should have access to relevant software eg. Excel.