Section 2.3

Jul 19, 2014

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Section 2.3. Additional Displays for Quantitative Data. Relative Frequency H istogram Bar Graph. Frequency Polygons Just a point at the top of the bar. Relative Frequency Ogive Just a point at the top of the bar. Time-Series Graphs.

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additional displays
quantitative data
relative frequency histogrambar graph
frequency polygonsjust
series graphs
relative frequency ogivejust

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Section 2.3

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Section 2.3 Additional Displays for Quantitative Data
Relative Frequency HistogramBar Graph
Frequency PolygonsJust a point at the top of the bar
Relative Frequency OgiveJust a point at the top of the bar
Time-Series Graphs

Section 2.3

Section 2.3. Differentiation Formulas. DIFFERENTIATION FORMULAS FOR BASIC FUNCTIONS. 1. The derivative of a constant function, f ( x ) = c. 2. The derivative of the identity function, f ( x ) = x. THE POWER RULE.

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Section 2.3

Section 2.3. Measures of Central Tendency. Section 2.3 Objectives. Determine the mean, median, and mode of a population and of a sample Determine the weighted mean of a data set and the mean of a frequency distribution

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Section 2.3

Section 2.3. Structure of Geometry. Definitions. Postulate(axiom) - is a statement accepted without proof Theorem -is a statement that is proven by using defs , postulates, or previously proven theorems. Postulates:.

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Section 2.3

Section 2.3. Arithmetic Operations on Matrices. 2.3 Arithmetic Operations on Matrices. Definition of Matrix Column, Row and Square Matrix Addition and Subtraction of Matrices Multiplying Row Matrix to Column Matrix Matrix Multiplication Identity Matrix Matrix Equation.

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Section 2.3

Section 2.3. 1. Use the Generalized Power Rule – Chain Rule – to find the derivative of f (x) = (x 2 + 1) 3. f ( x ) = ( x 2 +1) 3 f ′( x ) = 3( x 2 + 1) 2 (2 x ) = 6 x ( x 2 + 1) 2.

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Section 2.3

Section 2.3. Analyzing Graphs. Objectives. Identify misleading characteristics of a graph. ALSO – identify shape of a distribution. Appropriateness of the Graph. A time-series graph is a line graph that is used to display a variable whose values change over time.

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Section 2.3

Section 2.3. Deductive Reasoning. Symbolic Notation. Conditional Statements can be written using symbolic notation p represents hypothesis q represents conclusion is read as “implies” Therefore, a conditional statement looks like ______________ or ____________. If p, then q.

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Section 2.3

Point-to-Point Links: Framing. Section 2.3. Framing. Demarcates (Separates) units of transfer Goal Enable nodes to exchange blocks of data Challenge How can we determine exactly what set of bits constitute a frame? How do we determine the beginning and end of a frame?. Why Framing?.

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Section 2.3

Section 2.3. Day 1. Product Rule. The product of two differentiable functions f and g is itself differentiable. Example 1. Find the derivative of h ( x ) = (3 x – 2 x 2 )(5 + 4 x ) using the Product Rule. Let f ( x ) = 3 x – 2 x 2 and g ( x ) = 5 + 4 x. Example 2.

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Section 2.3

Math in Our World. Section 2.3. Using Venn Diagrams to Study Set Operations. Learning Objectives. Illustrate set statements involving two sets with Venn diagrams. Illustrate set statements involving three sets with Venn diagrams. Use De Morgan’s laws.

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Section 2.3

Section 2.3. Introduction to Problem Solving. Page 111. Steps for Solving a Problem.

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Section 2.3

Section 2.3. Polygons, Circles, and Solids. Common Polygons. Triangles. Quadrilaterals. Sum of Interior angles of Regular Polygon. Interior sum of angles of regular polygon is (n-2)180, n is the number of sides What is the measure of the interior angles of a STOP sign ? 1080 degree.

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Section 2.3

Section 2.3. Deductive Reasoning. Inductive vs. deductive Reasoning. Do you remember what Inductive Reasoning is? Reasoning based on patterns you observe Deductive Reasoning (logical reasoning) Process of reasoning logically from given statements to a conclusion. In other words…

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Section 2.3

Section 2.3. Lines. Find slope given two points. m = rise run. Find the slope between (4,-5) and (-6,-1). -1 – -5 -6 – 4 m = -1 + 5 -6 – 4 m = 4 -10 m = -2 5. m =. Forms of writing the equation of a line. Slope-intercept form of a line

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Section 2.3

Section 2.3. Evaluating Limits Analytically. Theorems Involving Limits. Theorems Involving Limits. Theorems Involving Limits (cont.). Theorems Involving Limits. Example 1. Find. Example 2. Find. Example 3. Find. Example 4. Find. Other Theorems Involving Limits.

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Section 2.3

Section 2.3. How Reliable Are Measurements?. Objectives. Define and compare accuracy and precision. Use significant figures and rounding to reflect the certainty of the data. Use percent error to describe the accuracy of experimental data. Accuracy.

273 views • 15 slides

Section 2.3

Section 2.3. Analyzing Graphs. Objectives. Identify misleading characteristics of a graph. Appropriateness of the Graph. A time-series graph is a line graph that is used to display a variable whose values change over time.

180 views • 8 slides

Section 2.3

Section 2.3. Analyzing Graphs. Objectives. Identify misleading characteristics of a graph. Title, Axes, Source. How to Properly Label a Graph. Appropriateness of the Graph. A time-series graph is a line graph that is used to display a variable whose values change over time.

168 views • 16 slides

Section 2.3

Section 2.3. Measures of Central Tendency. Section 2.3 Objectives. Determine the mean, median, and mode of a population and of a sample (and which to use when) Describe the shape of a distribution as symmetric, uniform, or skewed and compare the mean and median for each.

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Section 2.3

Section 2.3. Systems of Linear Equations: Underdetermined and Overdetermined Systems. Theorem. If the number of equations is greater than or equal to the number of variables then the system has no solution, one solution, or infinitely many solutions.

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Section 2.3

Section 2.3. Are Your Goals Realistic?. Back to Table of Contents. WHAT YOU’LL LEARN. How to identify your aptitudes, abilities, personality style, and learning styles. continued. WHAT YOU’LL LEARN. How to use your personal characteristics to choose potential careers. WHY IT’S IMPORTANT.

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