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Vertical Alignment Charts for Revised Mathematics TEKS
- Resource ID: Revised_Math_TEKS_VA
- Grade Range: K–12
- Subject: Math
This resource provides vertical alignment charts for the revised mathematics TEKS.
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Mathematics TEKS: Supporting Information
- Resource ID: Revised_Math_TEKS_SI
- Grade Range: K–12
- Subject: Math
This resource presents supporting information of the mathematics TEKS for Kindergarten through Grade 12.
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8.02 Confidence Interval for One Mean
- Resource ID: SE131002
- Grade Range: 9–12
- Subject: Math
In this video, students will learn to construct a confidence interval for a population mean.
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8.03 Visualizing a Confidence Interval
- Resource ID: SE131003
- Grade Range: 9–12
- Subject: Math
In this video, students will learn to visualize the construction of a confidence interval.
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8.04 Interpreting Confidence Intervals
- Resource ID: SE131004
- Grade Range: 9–12
- Subject: Math
In this video, students will learn to interpret a confidence interval.
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8.05 Confidence Interval for One Proportion
- Resource ID: SE131005
- Grade Range: 9–12
- Subject: Math
In this video, students will learn to construct and interpret a confidence interval for one proportion.
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8.06 Factors Affecting the Width of a Confidence Interval
- Resource ID: SE131006
- Grade Range: 9–12
- Subject: Math
In this video, students will explore how the components of a confidence interval affect its width.
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8.07 Confidence Intervals in the Real World
- Resource ID: SE131007
- Grade Range: 9–12
- Subject: Math
In this video, students will analyze confidence intervals in the real world.
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7.01 Variability in Sample Proportions, Part 1
- Resource ID: SE131036
- Grade Range: 9–12
- Subject: Math
In this video, students describe and model variability using a binary population distribution and the sampling distribution of a sample proportion.
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7.02 Variability in Sample Proportions, Part 2
- Resource ID: SE131037
- Grade Range: 9–12
- Subject: Math
In this video, students learn to describe and model variability using a binary population distribution, and the sampling distribution of a sample proportion.
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7.03 Variability in Sample Means
- Resource ID: SE131038
- Grade Range: 9–12
- Subject: Math
In this video, students describe and model variability using a continuous population distribution, and the sampling distribution of a sample mean.
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7.04 Using the Central Limit Theorem
- Resource ID: SE131039
- Grade Range: 9–12
- Subject: Math
In this video, students use the central limit theorem to describe variability using a sample mean.
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9.01 Steps of Hypothesis Testing
- Resource ID: SE131009
- Grade Range: 9–12
- Subject: Math
In this video, students will learn the steps of hypothesis testing and how to interpret its results.
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9.02 Hypothesis Test for One Mean, Part 1
- Resource ID: SE131010
- Grade Range: 9–12
- Subject: Math
In this video, students will learn how to perform a hypothesis test for one mean.
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9.03 Hypothesis Test for One Mean, Part 2
- Resource ID: SE131011
- Grade Range: 9–12
- Subject: Math
In this video, students will learn how to perform a hypothesis test for one mean and interpret its results.
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9.04 Statistical Significance vs Practical Significance
- Resource ID: SE131012
- Grade Range: 9–12
- Subject: Math
In this video, students will learn the difference between statistical significance and practical significance.
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9.05 Hypothesis Test for One Proportion, Part 1
- Resource ID: SE131013
- Grade Range: 9–12
- Subject: Math
In this video, students will learn how to perform a hypothesis test for one proportion.
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9.06 Hypothesis Test for One Proportion, Part 2
- Resource ID: SE131014
- Grade Range: 9–12
- Subject: Math
In this video, students will learn how to perform and interpret a hypothesis test for one proportion.
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9.07 Type I and Type II Errors
- Resource ID: SE131015
- Grade Range: 9–12
- Subject: Math
In this video, students will learn about the potential impact of Type I and Type II errors.
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10.01 Choosing the Right Case
- Resource ID: SE131017
- Grade Range: 9–12
- Subject: Math
In this video, students learn to identify the appropriate parameter to perform statistical inference for a given situation.