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masya89 [10]
3 years ago
15

Question 1 (1 point)

Mathematics
1 answer:
sergey [27]3 years ago
4 0

Answer:

10

Step-by-step explanation:

2 1/2 ÷ 1/4 reduce

5/2 × 4/1 = 20/2

20 ÷ 2 = 10 pounds of flour per sugar

(I'm not very good at math so this might be wrong)

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A crater shaped like a cone has a height of 24 yd and a diameter of 72 yd.
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The formula for the volume of a cone is (1/3)*area of the base * height. The base is a circle, whose area is pi times radius^2. Here this is pi * (r^2) = 3.14*(72 / 2 yd)^2 = 4069.44 yd^2. And so the volume is (1/3) * 4069.44 yd^2 * 24yd = 32,555.52 yd^3. I recommend that you find the most common formulas of the geometrical figures and make a flashcard that you can use at any moment.
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Whats the greatest common factor of 18 and 27 and 54
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Step-by-step explanation:

From doing the math I think it should be 9

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if Janet spent 15 hours reading a 1,200 page book how many pages did Janet read per minute , round answer to decimal
Naddik [55]
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3 years ago
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One of the radioactive isotopes used in chemical and medical research is iodine-125, which has a half-life of 61 days. how long
Oksana_A [137]

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Step-by-step explanation:

5 0
1 year ago
A courier service company wishes to estimate the proportion of people in various states that will use its services. Suppose the
a_sh-v [17]

Answer:

Probability that the sample proportion will be less than 0.03 is 0.10204.

Step-by-step explanation:

We are given that a courier service company wishes to estimate the proportion of people in various states that will use its services. Suppose the true proportion is 0.04.

Also, 469 are sampled.

<em>Let </em>\hat p<em> = sample proportion</em>

The z-score probability distribution for sample proportion is given by;

              Z = \frac{ \hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = sample proportion

           p = true proportion = 0.04

           n = sample size = 469

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the sample proportion will be less than 0.03 is given by = P( \hat p < 0.03)

       P( \hat p < 0.03) = P( \frac{ \hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < \frac{0.03-0.04}{\sqrt{\frac{0.03(1-0.03)}{469} } } ) = P(Z < -1.27) = 1 - P(Z \leq 1.27)

                                                                      = 1 - 0.89796 = 0.10204

Now, in the z table the P(Z \leq x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.27 in the z table which has an area of 0.89796.

Therefore, probability that the sample proportion will be less than 0.03 is 0.10204.

5 0
3 years ago
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