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NC Math 3:  Section 8.2 notes - Variance and Normal Distribution
NC Math 3:  Section 8.2 notes - Variance and Normal Distribution
NC Math 3:  Section 8.2 notes - Variance and Normal Distribution
NC Math 3:  Section 8.2 notes - Variance and Normal Distribution
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Description

This product includes the following:

Fill in the blank copy of Guided notes and its key. The notes can be easily printed for students or downloadable for any device.

This lesson is from my NC Math 3 Curriculum (in Unit # 8) but could be also used in Statistics or Algebra 2.

This lesson includes the following concepts:

  • Defining measure of variance which includes range, variance, and standard deviation. There are 2 examples demostrating this concept which also includes presenting information in a frequency table.
  • Defining continous probability distribution which includes looking at data that is negative skewed, positively skewed, and normally distriubted. There are 2 examples demostrating this concept which includes finding a percent and finding an amount of a percent.

This product will be downloaded as a ZIP file which includes:

  • Blank PDF copy which contains 1 page
  • PDF copy of KEY with all blanks and examples filled in (including all detailed work).

If need a VIDEO for this lesson check out this product:

Section 8.2 notes with Video Link

Licensing Terms:

The purchase of this product is a license for ONLY 1 TEACHER and to be used in your personal classroom. The license is NOT transferable and NO portion of this resource is to be shared with colleagues, used by an entire department, school, or district without purchasing appropriate licenses.

Copyright Terms for © Mrs T's Math Recipes:

Copying ANY part of this product and posting the resource on the internet in ANY form which includes classroom websites, personal website, social media, or network drives is NOT permitted.

If there are ever any issues with ZIP file, resources within file, mistakes, etc then please email me at mrstmathrecipes@gmail.com

Thank you so much for supporting my TPT store!

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

NC Math 3: Section 8.2 notes - Variance and Normal Distribution

Rated 4 out of 5, based on 1 reviews
4.0 (1 rating)
Mrs T's Math Recipes
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Highlights

Grades icon
Grades
9th - 12th
Standards icon
Standards
Pages
1
Answer Key
Included
Teaching Duration
30 minutes

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This product includes the following:All 3 sets of notes, 3 sets of homework assignments, Review & Quiz on 8.1 - 8.3, activity, classwork assignment on 8.1, more practice assignment on 8.2, and all 3 lesson video links. All files can be easily printed or downloadable to any device. All Answer k
Price $40.00Original Price $48.00Save $8.00
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This product includes the following:Fill in the blank copy of ALL 3 Sets of Guided notes and its keys. Each set of notes can be easily printed for students or downloadable for any device.This bundle (will you save $5) is from my NC Math 3 Curriculum but could be also used in Statistics or Algebra 2
Price $13.00Original Price $18.00Save $5.00
3
This product includes the following:Fill in the blank copy of ALL 47 Sets of Guided Notes & ALL 47 HW WS's and its keys...94 Products IN TOTAL. Each set of notes and HW WS can be easily printed for students or downloadable for any device.This bundle (will you save $70) is my entire NC Math 3 Cu
Price $400.00Original Price $470.00Save $70.00
94

Description

This product includes the following:

Fill in the blank copy of Guided notes and its key. The notes can be easily printed for students or downloadable for any device.

This lesson is from my NC Math 3 Curriculum (in Unit # 8) but could be also used in Statistics or Algebra 2.

This lesson includes the following concepts:

  • Defining measure of variance which includes range, variance, and standard deviation. There are 2 examples demostrating this concept which also includes presenting information in a frequency table.
  • Defining continous probability distribution which includes looking at data that is negative skewed, positively skewed, and normally distriubted. There are 2 examples demostrating this concept which includes finding a percent and finding an amount of a percent.

This product will be downloaded as a ZIP file which includes:

  • Blank PDF copy which contains 1 page
  • PDF copy of KEY with all blanks and examples filled in (including all detailed work).

If need a VIDEO for this lesson check out this product:

Section 8.2 notes with Video Link

Licensing Terms:

The purchase of this product is a license for ONLY 1 TEACHER and to be used in your personal classroom. The license is NOT transferable and NO portion of this resource is to be shared with colleagues, used by an entire department, school, or district without purchasing appropriate licenses.

Copyright Terms for © Mrs T's Math Recipes:

Copying ANY part of this product and posting the resource on the internet in ANY form which includes classroom websites, personal website, social media, or network drives is NOT permitted.

If there are ever any issues with ZIP file, resources within file, mistakes, etc then please email me at mrstmathrecipes@gmail.com

Thank you so much for supporting my TPT store!

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

Reviews

4.0
Rated 4 out of 5, based on 1 reviews
1
rating
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Rated 4 out of 5
January 14, 2022
good set of notes.
Christine B.
116 reviews
Grades taught: 10th, 11th, 12th

Questions & Answers

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Standards

to see state-specific standards (only available in the US).
Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.
Understand statistics as a process for making inferences about population parameters based on a random sample from that population.
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