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Vika [28.1K]
3 years ago
13

V + 19.9==20 find v​

Mathematics
1 answer:
andreev551 [17]3 years ago
5 0
.1 should be the answer
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CAN YOU PLEASE HELP ASAP!?
MAVERICK [17]

Apples went up 0.75 a lb

p is the start price so new price is p + 0.75

we buy 3 lbs

3 ( p+ 0.75) = 5.88

now solve

3p  + 2.25 = 5.88

     -2.25      -2.25

3p =  3.63

/3         /3  

p = 1.21 a lb


4 0
2 years ago
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What is the area of angle ABC? Round to the nearest tenth
otez555 [7]
Area formula: L · W · H
Length: 0.5
Width: 5
Height: 5

Answer: 12.5²

(It's squared because 5√2 contains a square root.) 
5 0
3 years ago
A dozen more than a number minus twice the number
scZoUnD [109]
X•2+12 I’m not sure if that’s what you’re looking for though
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2 years ago
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Is it likely that the next 50 Sunday customers will spend an average of at least​ $40? Explain. Choose the correct answer below​
Brrunno [24]

Answer:

B. Yes it is likely. The probability that the next 50 Sunday customers will spend an average of at least​ $40 is P=0.0023.

Step-by-step explanation:

<em>The question is incomplete:</em>

<em>A grocery store’s receipts show that Sunday customer purchases have a skewed distribution with a mean of $32 and a standard deviation of $20.</em>

We have to assume certain conditions to calculate the probability that the next 50 Sunday customers will spend an average of at least​ $40.

First, this 50 purchases are representative of the total purchases made in the store (the same as saying it is a random sample).

Second, the 10% condition: the 50 sales represent less than 10% of all purchases.

Third, the sample of 50 sales is large enough to make an approximation to the normal distribution.

If all these conditions are met, we can approximate the probabiltity that the next 50 Sunday customers will spend an average of at least​ $40.

We have a sampling distribution, with mean 32 (equal to the population mean) and standard deviation:

\sigma_M=\dfrac{20}{\sqrt{50}}=\dfrac{20}{7.07}=2.83

Then, we calculate the z-score

z=\dfrac{X-\mu_M}{\sigma_M}=\dfrac{40-32}{2.83}=\frac{8}{2.83} =2.83

The probabilty can be calculated then as:

P(X_{50}>40)=P(z>2.83)=0.0023

5 0
3 years ago
Can someone plz help me on this plz I have the answer just making sure I’m right. Plz no link s
aalyn [17]
What’s the answer you have currently
3 0
3 years ago
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