Search for tag: "graph (mathematics)"
Abbreviated Video Lecture Sections 9.1 and 9.2In this abbreviated lecture video, we will cover Sections 9.1 and 9.2 We will learn about confidence intervals, margins of error, critical values, and how to calculate necessary sample sizes.
From Keisha Lanier Brown
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Test 1 Technology Tips Chapters 1 - 4 - KBIn this video, I will recap how to use your graphing calculator to access all of the features necessary for Test 1.
From Keisha Lanier Brown
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Abbreviated Lecture Sections 7_3 and 7_1In this video, you will watch an abbreviated lecture on Sections 7.3 and 7.1. We will discuss normal probability plots, the properties of normal distributions, and how to interpret the probabilities…
From Keisha Lanier Brown
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Math 1401 Problem 8.1.27Sampling distributions of the sample mean - acceptable level for insect filth
From Keisha Lanier Brown
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Lecture Video Section 6.1 (Abbreviated Spring 2019)In this lecture video, we will discuss how to verify whether a distribution is a discrete probability distributions. We will also discuss how to calculate its mean and standard deviation.
From Keisha Lanier Brown
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Video Lecture Sections 3.4 and 3.5 (Abbreviated Spring 2019)In this abbreviated lecture video, we will cover Sections 3.4 and 3.5. We discuss the Measures of Position including z-scores, percentiles, and quartiles. We also discuss how to create box plots and…
From Keisha Lanier Brown
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Video Lecture Sections 3. 1 and 3.2 (Abbreviated Lecture Spring 2019)In this video, you will see an abbreviated lecture for Sections 3.1 - 3.2. This video was recorded Spring 2019.
From Keisha Lanier Brown
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Video Lecture: Sections 1.6 and 2.1In this video lecture, we will cover Sections 1.6 and 2.1. We will use Statcrunch to analyze qualitative data. We will also upload and save your project data in Statcrunch.
From Keisha Lanier Brown
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