We are allowed to do 2 practice exams before the actual exam. the actual exam is tomorrow starting 8 ...
We are allowed to do 2 practice exams before the actual exam. the actual exam is tomorrow starting 8 am - 10:30 am were going to have 2 hours to finished it its going to be 22 questions exam. the practice test is the same questions but with different numbers we can practice the questions so were ready for tomorrow I will send you the teachers way how to solve them we have to do exactly the way she did if we don't do like she did she won't give me full points on the exam. The exam is going to cover all this Content: This midterm covers section 05, 06, 07, 08, 09, 10, 11, and 12. The exam is worth 100 raw points, consists of 21 questions, and is scheduled for one hour and twenty minutes; however, the Canvas time limit may exceed one hour and twenty minutes. Remember that if you start the exam and lose connection or close the window or have a power outage, the exam clock will CONTINUE to wind down!! Whatever the Canvas time limit, remember that the exam is only available during class, and you will be kicked out no matter when you start the exam!! The exam covers these topics: CANVAS MODULE: PROBABILITY (SECTIONS 05, 06, AND 07) Definitions: Probability/Event/Simple Event/Sample Space/Sample Size Classical Probability/Relative Frequency Probability Law of Large Numbers Certain/Likely/50-50/Unlikely/Impossible Compound/Disjoint/Mutually Exclusive/Independent/Dependent Complement/At Least/At Most/More Than/Fewer Than Addition Rule Multiplication Rule Conditional Probability Bayes’ Theorem Counting: Multiplication Rule/Factorial Rule/Permutation Rule/Identical Item Rule/Combination Rule CANVAS MODULE: DISCRETE PROBABILITY DISTRIBUTIONS (SECTIONS 08 AND 09) Definitions: Discrete Random Variable/Discrete Probability Distribution Determine if a distribution is a probability distribution or how to make a distribution into a probability distribution Construct a probability histogram Probability Distribution: Construct a probability histogram/Find Mean/Find Standard Deviation Calculate/Interpret/Explain Expectation Binomial Distribution/Calculation/Mean/Standard Deviation Poisson Distribution/Calculation/Mean/Standard Deviation Binomial Approximation with the Poisson Distribution Justification/Calculation Significantly High/Significantly Low Apply Complement/At Least/At Most/More Than/Fewer Than to Section 08 and 09 concepts Apply z-score/unusual/not unusual to Section 08 and 09 concepts CANVAS MODULE: NORMAL PROBABILITY DISTRIBUTIONS (SECTIONS 10, 11, AND 12) Definitions: Continuous Random Variable/Continuous Probability Distribution/Density Curve Standard Normal Distribution/Normal Distribution Find a probability/area from a z-score/data value using tables or technology Find a z-score/data value from a probability/area using tables or technology Definition: Proportion Understand Sampling Distributions and Techniques Understand which statistics target which parameters and why Central Limit Theorem Apply Central Limit Theorem to probability calculations associated with the mean of a group of data points. Apply percentiles to Section 10, 11, and 12 concepts Apply Complement/At Least/At Most/More Than/Fewer Than to Section 10, 11, and 12 concepts Understand and Interpret Normal Quartile Plots Binomial Approximation with the Normal Distribution Justification/Calculation Apply z-score/unusual/not unusual to Section 10, 11, and 12 concepts Apply significantly low/significantly high to Section 10, 11, and 12 concepts Determine how to solve a problem and justify the choice: Binomial Distribution/Binomial Approximation with the Poisson Distribution/Binomial Approximation with the Poisson Distribution
