It takes the average reader 1 hour and 52 minutes to read Differentiating in Data Analysis and Probability, PreK-grade 2 by Jennifer Taylor-Cox
Assuming a reading speed of 250 words per minute. Learn more
This book applies the author's easy but effective differentiation strategies to the data analysis and probability content standard. Taking the foundational elements of differentiation in this book, it helps you: (1) assess students' math abilities quickly and efficiently; (2) group children by need; (3) target instruction to meet every student's need; and (4) adjust levels of cognitive demand. Contents include: (1) How to Use this Book; (2) Data Analysis and Probability in Prekindergarten Through Second Grade; (3) Targeted Instruction in Data Analysis and Probability; (4) Grouping Students in Data Analysis and Probability; (5) Levels of Cognitive Demand in Data Analysis and Probability; and (6) Personal Assessment in Data Analysis and Probability. [This book is part of the series: "The Differentiating in the Math Content Standards Series".].
Differentiating in Data Analysis and Probability, PreK-grade 2 by Jennifer Taylor-Cox is 112 pages long, and a total of 28,224 words.
This makes it 38% the length of the average book. It also has 34% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 34 minutes to read Differentiating in Data Analysis and Probability, PreK-grade 2 aloud.
Differentiating in Data Analysis and Probability, PreK-grade 2 is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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