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nasty-shy [4]
3 years ago
10

Which of these numbers is the smallest .0134 .802 .47 .0562 .137

Mathematics
1 answer:
Finger [1]3 years ago
4 0
.0562 is the smallest number
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Aden invested $300 at a rate of 3%. How many years would it take to earn $18 in interest?
sattari [20]
Si= PTR/100
18 = (3*300*t)/100
18 = 9t
t = 2

2 years
6 0
2 years ago
A decorator uses the expression 6s2 to model the minimum amount of fabric needed to cover an ottoman in the shape of a cube. If
erastova [34]

Answer:

Divide the measurement by 36 to determine the number of yards needed. For example, if the pattern pieces cover an area of floor equal to 72 inches in length, then divide 72 by 36 to get 2, the number of yards of 54-inch wide fabric needed for the ottoman.

5 0
2 years ago
The amount of icing on a Cuppie Cake large cupcake follows a Normal distribution, with a mean of 2 ounces and a standard deviati
TiliK225 [7]

Answer: the probability the mean weight will exceed 2.1 ounces is 0.09

Step-by-step explanation:

Let x be the random variable representing the amount of icing on a Cuppie Cake large cupcake. Since it is normally distributed and the population mean and population standard deviation are known, we would apply the formula,

z = (x - µ)/(σ/√n)

Where

x = sample mean

µ = population mean

σ = standard deviation

n = number of samples

From the information given,

µ = 2

σ = 0.3

n = 16

x = 2.1

the probability that the mean weight will exceed 2.1 ounces is expressed as

P(x ≥ 2.1)

For x = 2.1

z = (2.1 - 2)/(0.3/√16) = 1.33

We would determine the probability for the area above z = 1.33 from the normal distribution table. It would be

p = 1 - 0.91 = 0.09

P(x ≥ 2.1) = 0.09

6 0
3 years ago
Please help due tomorrow!
vaieri [72.5K]

Answer:

DF=GI

Step-by-step explanation:

Follow the order

it is Given That

DEF=GHI

DF=GI

DE=GH

EF=HI

3 0
3 years ago
Why are unbiased estimators preferred over biased estimators?
DIA [1.3K]

Answer:

Generally an unbiased statistic is preferred over a biased statistic. This is because there is a long run tendency of the biased statistic to under/over estimate the true value of the population parameter. Unbiasedness does not guarantee that an estimator will be close to the population parameter.

Step-by-step explanation:

7 0
3 years ago
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