Computing the <u>ratio of raisins to ounces</u>, it is found that due to the <u>higher computed ratio</u>, brand B advertises the greatest ratio of raisins per ounce.
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- For <em>brand A</em>, there are 60 raisins in the 24-ounces box, thus the ratio is of
, that is, 2.5 raisins per ounce. - For <em>brand B</em>, there are 18 raisins in the 6-ounce box, 36 in the 12-ounce, and it follows this ratio, thus
, thus, 3 raisins per ounce. - For <em>brand C</em>, there are 20 raisins in the 10-ounce box, 30 in the 15-ounce, and so on, thus
, thus, 2 raisins per ounce. - Due to the <u>higher computed ratio</u>, brand B advertises the greatest ratio of raisins per ounce.
A similar problem is given at brainly.com/question/24622075
Answer:
a. 11.26 % b. 6.76 %. It appears so since 6.76 % ≠ 15 %
Step-by-step explanation:
a. This is a binomial probability.
Let q = probability of giving out wrong number = 15 % = 0.15
p = probability of not giving out wrong number = 1 - q = 1 - 0.15 = 0.75
For a binomial probability, P(x) = ⁿCₓqˣpⁿ⁻ˣ. With n = 10 and x = 1, the probability of getting a number wrong P(x = 1) = ¹⁰C₁q¹p¹⁰⁻¹
= 10(0.15)(0.75)⁹
= 1.5(0.0751)
= 0.1126
= 11.26 %
b. At most one wrong is P(x ≤ 1) = P(0) + P(1)
= ¹⁰C₀q⁰p¹⁰⁻⁰ + ¹⁰C₁q¹p¹⁰⁻¹
= 1 × 1 × (0.75)¹⁰ + 10(0.15)(0.75)⁹
= 0.0563 + 0.01126
= 0.06756
= 6.756 %
≅ 6.76 %
Since the probability of at most one wrong number i got P(x ≤ 1) = 6.76 % ≠ 15 % the original probability of at most one are not equal, it thus appears that the original probability of 15 % is wrong.
Answer:24
Step-by-step explanation:Exponential functions are of the form f(x) = ab^x
1/15 as a decimal would be 0.6666666......
Or you can round that off to 0.67
