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Monthly Archives: May 2019

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Statistics – Unit 9

Unit 9 Topics: Introduction to Estimation link:intro estimation Learning Objectives Define statistic Define parameter Define point estimate Define interval estimate Define margin of error   Degrees of Freedom link:Degrees of Freedom Learning Objectives Define degrees of freedom Estimate the variance from a sample of 1 if the population mean is known State why deviations from the sample … Continue reading »

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Statistics – Unit 8

Unit 8 Topics: Introduction to Sampling Distributions link:Introduction to Sampling Distributions Learning Objectives Define inferential statistics Graph a probability distribution for the mean of a discrete variable Describe a sampling distribution in terms of “all possible outcomes” Describe a sampling distribution in terms of repeated sampling Describe the role of sampling distributions in inferential statistics Define … Continue reading »

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Statistics – Unit 7

Unit 7 Topics: Introduction to Normal Distributions link:Introduction to Normal Learning Objectives Describe the shape of normal distributions State 7 features of normal distributions   History of the Normal Distribution link:History Normal Learning Objectives Name the person who discovered the normal distribution and state the problem he applied it to State the relationship between the normal and … Continue reading »

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Statistics – Unit 6

Unit 6 Topics:   Note: All topics below are summarized by the following note outline: Research Design Measurement  Learning Objectives Define reliability Describe reliability in terms of true scores and error Compute reliability from the true score and error variance Define the standard error of measurement and state why it is valuable State the effect of … Continue reading »

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Statistics – Unit 5

Unit 5 Topics: Remarks on the Concept of “Probability” link:Probability Intro Learning Objectives Define symmetrical outcomes Distinguish between frequentist and subjective approaches Determine whether the frequentist or subjective approach is better suited for a given situation   Basic Concepts link:Basic Concepts Learning Objectives Compute probability in a situation where there are equally-likely outcomes Apply concepts to cards … Continue reading »

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Statistics – Unit 4

Unit 4 Topics: Introduction to Bivariate Data link:Intro Bivariate Learning Objectives Define “bivariate data” Define “scatter plot” Distinguish between a linear and a nonlinear relationship Identify positive and negative associations from a scatter plot   Values of the Pearson Correlation link:Values of the Pearson Learning Objectives Describe what Pearson’s correlation measures Give the symbols for Pearson’s correlation … Continue reading »

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Statistics – Unit 3

Unit 3 Topics: What is Central Tendency? link:What is Central Tendency Learning Objectives Identify situations in which knowing the center of a distribution would be valuable Give three different ways the center of a distribution can be defined Describe how the balance is different for symmetric distributions than it is for asymmetric distributions.   Measures of … Continue reading »

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Statistics – Unit 2

Unit 2   Topics: Beginning Graphing and Qualitative and Quantitative Variables link:Intro to graphs Learning Objectives Create a frequency table Determine when pie charts are valuable and when they are not Create and interpret bar charts Identify common graphical mistakes   Stem and Leaf Displays link:stem and leaf Learning Objectives Create and interpret basic stem and leaf … Continue reading »

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Statistics – Unit 1

Unit 1 Topics, Learning Objectives, and digital note outlines Topics: What are Statistics? link: What are statistics? Learning Objectives Describe the range of applications of statistics Identify situations in which statistics can be misleading Define “statistics”   Importance of Statistics link: Importance of statistics Learning Objectives Give examples of statistics Give examples of how statistics can lend … Continue reading »

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