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stealth61 [152]
3 years ago
8

A store sells ice cream with assorted toppings. they charge $ 3.00 for ice cream plus 0.50 per ounce of toppings.

Mathematics
1 answer:
aev [14]3 years ago
8 0

Answer:7 ounces

Step-by-step explanation:

If they charge 0.50 cents per ounce then u would take the 50 cents and add that up until it gets to 3.50 and that will give u 7 so the answer is 7 ounces.

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Mrs Stokes bought 3 packages of fruit juice. Each pkg has 2 rows of 6 boxes in each row. How many boxes of fruit juice did Mrs.
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Do 2x6=12×3 since there is 3 packages 2 rows and 6 in each row
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Read 2 more answers
Which expression has a value of 1/36?
Nataly [62]

Answer:

1/36) = 0.0277777777778

(1/108)^3 = 7.9383224102 x 10^-7

(1/9)^4 = 0.000152415790276

(1/6)^2 = 0.0277777777778

(1/2)^5 = 0.03125

The only one that matches with the value of 1/36 is (1/6)^2. Therefore, your answer is . (1/6)^2

8 0
2 years ago
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Ipatiy [6.2K]
8/10= 0.8 tests per minute
4 0
3 years 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
WILL GIVE BRAINLIEST ANSWER TO THE CORRECT ONE!
AleksandrR [38]
I think it would best be displayed as a line plot.
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