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Black_prince [1.1K]
3 years ago
6

Look at the table how are, 50, 75, and 100 related to 25?​

Mathematics
2 answers:
Oxana [17]3 years ago
3 0

They are all divisible by 25.

kupik [55]3 years ago
3 0

Answer:

Idk how to explain it, but they're all added from 25.

Step-by-step explanation:

25 x 2 = 50

25 x 3 = 75

25 x 4 = 100

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5 of 5
dexar [7]

Answer:

Number of people that can be served 7 ladles = 100 people

Step-by-step explanation:

We are told that;

Initial number of ladles proposed per person = 5

Number of persons to be fed based on 5 ladles = 140 persons

Thus, amount of ladles based on that data is;

140 people x 5 ladle/1 person = 700 ladles full of soup

Now, since the cook decides to give 7 ladles full of soup to each person, the number of people that can be fed will now be;

700 ladles ÷ 7 ladles/person = 100 persons

6 0
3 years ago
A bag of candy contains 2 pieces of bubble gum, 4 jolly ranchers, and 10 tootsie rolls . what is the probability of reaching int
alexgriva [62]
Total = 2 + 4 + 10 = 16

Bubble Gums and Tootsie Roll = 2 + 10 = 12

P(Bubble Gums and Tootsie Roll) = 12/16 = 3/4
6 0
3 years ago
Is there any remainders?¿
Ymorist [56]
Yes there’s 44 remainders :)
8 0
3 years ago
Pat bought a table for $100. She wants to sell it for a 40% increase. What does she sell the table for?
ale4655 [162]

Answer:

$140

Step-by-step explanation:

So to find the increased price, do 100*1.4=140

That's the answer. Another way to do it is 100*.4=40.

40+100=140

Hope this helps! Please put brainliest if you can!

5 0
3 years ago
A data set lists weights​ (lb) of plastic discarded by households. The highest weight is 5.31 ​lb, the mean of all of the weight
a_sh-v [17]

Answer:

a) The difference is of 3.222 lbs.

b) 1.64 standard deviations.

c) Z = 1.64

d) Not significant, as the z-score of 1.64 is between -2 and 2.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value 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. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

The mean of all of the weights is x=2.088 ​lb, and the standard deviation of the weights is s=1.968 lb.

This means that \mu = 2.088, \sigma = 1.968

a. What is the difference between the weight of 5.31 lb and the mean of the​ weights?

This is X - \mu = 5.31 - 2.088 = 3.222

The difference is of 3.222 lbs.

b. How many standard deviations is that​ [the difference found in part​ (a)]?

This is the z-score. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{5.31 - 2.088}{1.968}

Z = 1.64

1.64 standard deviations.

c. Convert the weight of 5.31 lb to a z score.

Z = 1.64, as found above.

d. If we consider weights that convert to z scores between −2 and 2 to be neither significantly low nor significantly​ high, is the weight of 5.31 lb​ significant?

Not significant, as the z-score of 1.64 is between -2 and 2.

5 0
3 years ago
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