NJSLA Algebra I Using Probability to Make Decisions. Practice it free.

Use probability to evaluate outcomes of decisions and to analyze decisions and strategies. This Algebra I reporting domain maps to 1 practice skill and 8 representative questions from the playable bank.

Algebra IS-MD1 mapped skills
What the test measures

Using Probability to Make Decisions skills

  1. S-MD.A.1 Define a random variable for a quantity of interest by assigning a numerical value to each event in a sample space

  2. S-MD.A.2 Calculate expected values and use them to solve problems

  3. S-MD.A.3 Develop a probability distribution for a random variable defined for a sample space

  4. S-MD.B.4 Develop a probability model for a situation and use it to find probabilities of events

Standards basis

New Jersey Student Learning Standards for Mathematics (NJSLS-M), aligned to Common Core State Standards for Mathematics (CCSS-M) — New Jersey

How the NJSLA reports it

NJSLA math is built on the New Jersey Student Learning Standards for Mathematics, which closely follow the Common Core domain structure and progressions. The assessment is organized by grade-level and end-of-course reporting aligned to those standards rather than by a separate proprietary framework.

Blueprint & weighting

NJDOE publishes statewide assessment administration information and grade/course coverage, but no official public math-domain weighting blueprint was located in the retrieved primary materials.

Practice by skill

Topics mapped to this domain

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8 free questions · 0/0 correct

Practice playeasy

A scratch card pays $10\text{\char36}10, $5\text{\char36}5, or nothing. Winning $10\text{\char36}10 is twice as likely as winning $5\text{\char36}5, and winning nothing is 33 times as likely as winning $5\text{\char36}5. What is the expected value of one card?

Weights are 22, 11, and 33 (total 66), so probabilities are 26\dfrac{2}{6}, 16\dfrac{1}{6}, and 36\dfrac{3}{6}. Then E=piviE = \sum p_i v_i, which means the sum of each probability times its value: E=26(10)+16(5)+36(0)=256$4.17E = \dfrac{2}{6}(10) + \dfrac{1}{6}(5) + \dfrac{3}{6}(0) = \dfrac{25}{6} \approx \text{\char36}4.17.

Practice playeasy

A prize drawing awards $20\text{\char36}20, $10\text{\char36}10, or nothing. Winning $20\text{\char36}20 is equally likely as winning $10\text{\char36}10, and winning nothing is 33 times as likely as winning $10\text{\char36}10. What is the expected value of the prize?

Weights are 11, 11, and 33 (total 55), so probabilities are 15\dfrac{1}{5}, 15\dfrac{1}{5}, and 35\dfrac{3}{5}. Then E=piviE = \sum p_i v_i, which means the sum of each probability times its value: E=15(20)+15(10)+35(0)=$6E = \dfrac{1}{5}(20) + \dfrac{1}{5}(10) + \dfrac{3}{5}(0) = \text{\char36}6.

Practice playeasy

A game chest gives $9\text{\char36}9, $3\text{\char36}3, or nothing. Winning $9\text{\char36}9 is twice as likely as winning $3\text{\char36}3, and winning nothing is 44 times as likely as winning $3\text{\char36}3. What is the expected value of one opening?

Weights are 22, 11, and 44 (total 77), so probabilities are 27\dfrac{2}{7}, 17\dfrac{1}{7}, and 47\dfrac{4}{7}. Then E=piviE = \sum p_i v_i, which means the sum of each probability times its value: E=27(9)+17(3)+47(0)=217=$3E = \dfrac{2}{7}(9) + \dfrac{1}{7}(3) + \dfrac{4}{7}(0) = \dfrac{21}{7} = \text{\char36}3.

Practice playeasy

A raffle ticket pays $10\text{\char36}10, $5\text{\char36}5, or nothing. Winning $10\text{\char36}10 is twice as likely as winning $5\text{\char36}5, and winning nothing is equally likely as winning $5\text{\char36}5. What is the expected value of one ticket?

Weights are 22, 11, and 11 (total 44), so probabilities are 24\dfrac{2}{4}, 14\dfrac{1}{4}, and 14\dfrac{1}{4}. Then E=piviE = \sum p_i v_i, which means the sum of each probability times its value: E=24(10)+14(5)+14(0)=$6.25E = \dfrac{2}{4}(10) + \dfrac{1}{4}(5) + \dfrac{1}{4}(0) = \text{\char36}6.25.

Practice playeasy

A school store prize is $12\text{\char36}12, $4\text{\char36}4, or nothing. The $12\text{\char36}12 prize is twice as likely as the $4\text{\char36}4 prize, and winning nothing is equally likely as the $4\text{\char36}4 prize. What is the expected value?

Weights are 22, 11, and 11 (total 44), so probabilities are 24\dfrac{2}{4}, 14\dfrac{1}{4}, and 14\dfrac{1}{4}. Then E=piviE = \sum p_i v_i, which means the sum of each probability times its value: E=24(12)+14(4)+14(0)=$7E = \dfrac{2}{4}(12) + \dfrac{1}{4}(4) + \dfrac{1}{4}(0) = \text{\char36}7.

Practice playeasy

A lemonade stand earns $15\text{\char36}15 on a busy day, $5\text{\char36}5 on a slow day, or $0\text{\char36}0 if it rains. A busy day is equally likely as a slow day, and a rainy day is twice as likely as a slow day. What is the expected profit?

Weights are 11, 11, and 22 (total 44), so probabilities are 14\dfrac{1}{4}, 14\dfrac{1}{4}, and 24\dfrac{2}{4}. Then E=piviE = \sum p_i v_i, which means the sum of each probability times its value: E=14(15)+14(5)+24(0)=$5E = \dfrac{1}{4}(15) + \dfrac{1}{4}(5) + \dfrac{2}{4}(0) = \text{\char36}5.

Practice playeasy

On a bonus quiz question, a student earns 44 points, 11 point, or 00 points. Earning 44 points is twice as likely as earning 11 point, and earning 00 points is 33 times as likely as earning 11 point. What is the expected number of bonus points?

Weights are 22, 11, and 33 (total 66), so probabilities are 26\dfrac{2}{6}, 16\dfrac{1}{6}, and 36\dfrac{3}{6}. Then E=piviE = \sum p_i v_i, which means the sum of each probability times its value: E=26(4)+16(1)+36(0)=96=1.5E = \dfrac{2}{6}(4) + \dfrac{1}{6}(1) + \dfrac{3}{6}(0) = \dfrac{9}{6} = 1.5 points.

Practice playeasy

One spin of a prize wheel pays $6\text{\char36}6, $2\text{\char36}2, or nothing. Winning $6\text{\char36}6 is 55 times as likely as winning $2\text{\char36}2, and winning nothing is equally likely as winning $2\text{\char36}2. What is the expected payout?

Weights are 55, 11, and 11 (total 77), so probabilities are 57\dfrac{5}{7}, 17\dfrac{1}{7}, and 17\dfrac{1}{7}. Then E=piviE = \sum p_i v_i, which means the sum of each probability times its value: E=57(6)+17(2)+17(0)=327$4.57E = \dfrac{5}{7}(6) + \dfrac{1}{7}(2) + \dfrac{1}{7}(0) = \dfrac{32}{7} \approx \text{\char36}4.57.

Keep practicing

Turn using probability to make decisions into game time.

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