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Alexus [3.1K]
2 years ago
13

How many cups are in 5 quarts

Mathematics
2 answers:
Alina [70]2 years ago
7 0

Answer:

20 cups are in 5 quarts

Step-by-step explanation:

Zarrin [17]2 years ago
5 0

Answer:20 cups

Step-by-step explanation:because each cup is 0.25 quarts

plz leave a like

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Step-by-step explanation:

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2 years ago
Ben bowled 160 and 191 in his first two games. What must he bowl in his third game to have an average of at least 190?​
natita [175]
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2 years ago
Vinny decorated 72 cookies and 36 minutes how many cookies did you decorate per minute
SCORPION-xisa [38]
2 cookies. 72/36= 2 cookies per minute. 
6 0
3 years ago
If the ceos salary of 1,000,000 is taken out of the list what I would happen to the mean and median 25,25,25,35,35,45,45,55,55
Mama L [17]

Answer:

Both the mean and median decrease.

Step-by-step explanation:

Median (without 1,000,000):

<em>25, 25, 25, 35</em>, 35,<em> 45, 45, 55, 55</em>

= 35

Median (with 1,000,000):

<em>25, 25, 25, 35</em>, 35, 45, <em>45, 55, 55, 1,000,000</em>

= average of 35 and 45

= 40

As you can see, without the outlier, the value of the median decreases.

Mean (without 1,000,000):

= (25 + 25 + 25 + 35 + 35 + 45 + 45 + 55 + 55) / 9

= 38.3

Mean (with 1,000,000):

= (25 + 25 + 25 + 35 + 35 + 45 + 45 + 55 + 55 + 1,000,000) / 10

= 100,0034.5

As you can see, without the outlier, the value of the mean dramatically decreases.

6 0
2 years ago
Because of variability in the manufacturing process, the actual yielding point of a sample of mild steel subjected to increasing
photoshop1234 [79]

Answer:

P-value ≈ 0.3463

Step-by-step explanation:

Hypothesis test would be

H_{0}:p=0.20

H_{a}:p>0.20

We need to calculate the z-score of sample proportion and then the corresponding P-value.

z-score can be calculated as:

z=\frac{p(s)-p}{\sqrt{\frac{p*(1-p)}{N} } } where

  • p(s) is the sample proportion of specimens yield before the theoretical point (\frac{9}{40}=0.225)
  • p is the proportion assumed under null hypothesis. (0.20)
  • N is the sample size (40)

Using the numbers

z=\frac{0.225-0.2}{\sqrt{\frac{0.2*0.8}{40} } } =0.3953

and the P-value is then P(z)≈0.3463

4 0
3 years ago
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