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3 years ago

7

A multivitamin tablet contains 0.13g of vitamin C. How much vitamin C does a bottle of 20 tablets contain?

2 answers:

Alex777 [14]3 years ago

5 0

Answer: 3900

Step-by-step explanation: 3.9 g = (3.9 x 1000) mg= 3900mg

Slav-nsk [51]3 years ago

4 0

2.6g is the answer .

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You are making a poster that will have a uniform border, as shown. the total area of the poster is 722 square inches. find the w

olga55 [171]

I FOUND YOUR COMPLETE QUESTION IN OTHER SOURCES.
PLEASE SEE ATTACHED IMAGE.
For this case the area is given by:
A = (22 + x) * (28 + x) = 722
Rewriting we have:
616 + 22x + 28x + x ^ 2 = 722
x ^ 2 + 50x + 616 - 722 = 0
x ^ 2 + 50x - 106 = 0
Solving the polynomial we have:
x1 = 2.04
x2 = -52.04
We take the positive root:
x = 2.04 inches:
Answer:
The width of the border to the nearest inch is:
x = 2inches

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3 years ago

Figure ABCD is a trapezoid with point A (0, -4). what rule would rotate the figure 270 clockwise?

Mekhanik [1.2K]

The rule to rotate the figure is (-y,x) making point A (4,0).

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3 years ago

There are 3 types of sweets in a jar.

KengaRu [80]

Answer:

$\frac{2}{3}$

Step-by-step explanation:

Given:

Number of eclairs = 3

Number of humbugs = $2x + 6=2(x+3)$

Number of mints = $x$

Therefore, total number of sweets in the jar is,

$S=3+2x+6+x=3x+9=3(x+3)$

Now, probability of selecting a sweet to be humbug is given as:

$P(humbug)=\frac{\textrm{number of humbugs}}{\textrm{number of sweets}}\\P(humbug)=\frac{2(x+3)}{3(x+3)}=\frac{2}{3}$

Therefore, the probability that it is a humbug is $\frac{2}{3}$ .

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3 years ago

An automobile manufacturer claims that its jeep has a 53.9 miles/gallon (MPG) rating. An independent testing firm has been contr

Advocard [28]

Answer:

Value of the test statistic, $z_{test} = - 1.17$

Step-by-step explanation:

Null hypothesis, $H_{0}: \mu = 53.9$

Alternative hypothesis, $H_{a} : \mu \neq 53.9$

Sample mean, $\bar{X} = 53.7$

Sample size, n = 110

Standard deviation, $\sigma = 1.8$

Significance level, $\alpha = 0.02$

The value of the test statistics is given by the formula:

$z_{test} = \frac{\bar{X} - \mu}{\frac{\sigma}{\sqrt{n} } } \\z_{test} = \frac{53.7 - 53.9}{\frac{1.8}{\sqrt{110} } } \\z_{test} = - 1.17$

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3 years ago

Help with 4 Multiple-choice

kykrilka [37]

Answer:

1. D

2. A

3. C

4. A

Step-by-step explanation:

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3 years ago

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