Probability and Statistics

Course Description:

Probability and Statistics will introduce students to exploring data, sampling and experimentation by planning and conducting studies, anticipating patterns using probability and simulation, and employing statistical inference to analyze data and draw conclusions.

Course Details:

Course Title (District): Probability and Statistics
Course Title (NCES SCED) : Probability and Statistics
Course Provider : Whitehall District Schools
Content Provided By : Florida Virtual School
Online Instructor Provided By : Whitehall District Schools
Standards Addressed : CCSS, MMC, NCAA
Ailgnment Document :
Academic Terms : Accelerated, Semester, Trimester
Subject Area : Mathematics
Course Identifier : Probability and Statistics
Course Level : (G) General or Regular
Available Credit : 0.5
Sequence : 1 of 1

How To Enroll:

Enrollment Website :
Email : [email protected]
Phone : (888) 889-2840

Students and Parents: It is important to work closely with your local school counselor or registrar to follow the school's enrollment procedures. By clicking the "Start Registration Request" button below, you will be able to notify the school of your interest in registering for the online course. However, it is the responsibility of the district or school to review the registration request and approve or deny the request. Please make a note to follow up with your school after submitting a registration request.

Start Registration Request

Additional Course Information:

Upon completion of this course, students will be able to…

  • Define and identify key terms including statistics and variables
  • Quantitatively describe center of a data set
  • Discuss the impact of data changes on measures of center
  • Calculate the spread for a data set.
  • Interpret data displayed in a dotplot or stemplot
  • Compare distributions of univariate data
  • Interpret data that is displayed in a boxplot
  • Explain the difference between a sample data set and a population data set
  • Discuss different sampling methods, including SRS, stratified, clusters, systemic, and multi-stage, and note any cautions that should be taken with each method.
  • Discuss a variety of data collection methods, including census, survey, observational study, and experiments
  • Identify and explain the three basic principles of experimental design
  • Discuss and identify treatments, control groups, experimental units, random assignments, and replication
  • Explain how confounding occurs and use good experimental design to correct study designs where confounding has occurred
  • Explain the difference between correlation and causation in experimental design
  • Assess study results, and identify whether correlation or causation can be established
  • Use the rules of probability to compute probabilities of compound events
  • Write out the sample space of a random phenomenon and use it to answer probability questions
  • Use the basic rules of probability to solve problems
  • use the rules of probability to compute probabilities of compound events
  • Describe the concept of independence
  • Perform a simulation of a probability situation using a table of random numbers or technology.
  • Determine the classification of probability distributions as discrete or continuous
  • Identify the conditions that must be met for a variable to be a binomial random variable
  • Identify the conditions that must be met for a variable to be a geometric random variable
  • Calculate the probabilities for geometric random variables
  • Describe percentiles and recognize their meaning in context
  • Perform transformations on data to create linearity
  • Describe the characteristics of the normal (density) curve
  • Use a Standard Normal distribution Table to answer questions about probability
  • Calculate the mean and standard deviation of the sampling distribution
  • Apply the Central Limit Theorem to problems involving sums and averages of variables from arbitrary distributions
  • Interpret a confidence interval and confidence level
  • Identify the components of a classical hypothesis test, including the parameter of interest, the null and alternative hypotheses and the test statistic
  • Perform hypothesis tests on means and proportions for one or two populations
  • Conduct inference for the mean of a Normal distribution where the underlying variance is either known or unknown, including the construction of confidence intervals and one and two—sided hypothesis tests
  • Explain statistical significance
  • Describe and compare explanatory and response variables
  • Interpret a LSRL
  • Make predictions using a LSRL

INACOL Online Course Quality Standards

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Review Conducted By : Michigan Virtual
Date of Review : 08/21/2019

Exploring Data
Collecting Data
Probability Distributions
Sampling Distributions

Term Type Enrollment Opens Enrollment Ends Random Draw Date Enrollment Drop Date Course Starts Course Ends # of Seats Course Fee Potential Additional Costs
Semester 08/01/2020 10/15/2020 07/01/2020 08/31/2020 01/15/2021 35 $0.0000 0.0000
Drop Policy Completion Policy Term Type Enrollment Opens Enrollment Ends
Consult counselor Consult counselor Semester 08/01/2020 10/15/2020

Students can use email or the private message system within the Student Learning Portal to access highly qualified teachers when they need instructor assistance. Students will also receive feedback on their work inside the learning management system. The Instructor Info area of their course may describe additional communication options

Students will require a computer device with headphones, a microphone, webcam, up-to-date Chrome Web Browser, and access to YouTube. Graphing Calculator, Free downloads: TI connect software, Adobe Flash Player, Java, Windows Media Player, Apple iTunes

Please review the Michigan Virtual Technology Requirements: