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Damm [24]
2 years ago
12

Solve for p: p/10 = 7.2/36

Mathematics
1 answer:
vovikov84 [41]2 years ago
3 0
P=20 this is because you have to get 2 on each side 7.2/3.6 =2 so 20/10=2 2=2
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Complete the Table.
JulsSmile [24]

Interest rate = 5.25%

<u>Step-by-step explanation:</u>

Simple Interest = Pnr = 4252.50

n = time = 54 months = 4.5 years

r = rate of interest = ?

P = 18,000

r = SI/Pn = 4252.50 / 18000× 4.5

              = 0.0525 = 5.25%

7 0
3 years ago
Read 2 more answers
Nicholas wrote the steps below to
Inessa05 [86]

Answer:

He does not divide the numerator and the denominator by the same number. Nicholas divides 20 by 5 and 30 by 6. He ought to have divided 30 by 5 as well and then simplified.

P.S. Nicholas should have just divided both 20 and 30 by 10 to simplify in one step

7 0
2 years ago
Can someone help with this plz??
alex41 [277]

Answer:

90 visitors

Step-by-step explanation:

36=40% so X=100%

Ratio

36/40=x/100

40x=3600

x=90

3 0
3 years ago
Write 3 equivalent ratios for 4/3?
vampirchik [111]
8/6, 12/9, 16/12 are all equivalent to 4/3
5 0
3 years ago
Suppose that the warranty cost of defective widgets is such that their proportion should not exceed 5% for the production to be
Vedmedyk [2.9K]

Answer: 63 defective widgets

Step-by-step explanation:

Given that the proportion should not exceed 5%, that is:

p< or = 5%.

So we take p = 5% = 0.05

q = 1 - 0.05 = 0.095

Where q is the proportion of non-defective

We need to calculate the standard error (standard deviation)

S = √pq/n

Where n = 1024

S = √(0.05 × 0.095)/1024

S = 0.00681

Since production is to maximize profit(profitable), we need to minimize the number of defective items. So we find the limit of defective product to make this possible using the Upper Class Limit.

UCL = p + Za/2(n-1) × S

Where a is alpha of confidence interval = 100 -90 = 10%

a/2 = 5% = 0.05

UCL = p + Z (0.05) × 0.00681

Z(0.05) is read on the t-distribution table at (n-1) degree of freedom, which is at infinity since 1023 = n-1 is large.

Z a/2 = 1.64

UCL = 0.05 + 1.64 × 0.00681

UCL = 0.0612

Since the UCL in this case is a measure of proportion of defective widgets

Maximum defective widgets = 0.0612 ×1024 = 63

Alternatively

UCL = p + 3√pq/n

= 0.05 + 3(0.00681)

= 0.05 + 0.02043 = 0.07043

UCL =0.07043

Max. Number of widgets = 0.07043 × 1024

= 72

7 0
2 years ago
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