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Semenov [28]
4 years ago
9

Helping found a stick that was 5/3 4th feet long.He needed one that was about 5 feet long. Is it reasonable to say that this sti

ck will work? Explain.
Mathematics
1 answer:
DedPeter [7]4 years ago
8 0

Answer:

Yes because...

Step-by-step explanation:

4 5/3 is around 5ft if you simplify out the fractions. 4 5/3= 5.6666

You might be interested in
The lateral area of a cube is one hundred forty-four square kilometers. What is its side length?
myrzilka [38]
Lateral area is the total surface area. A cube has 6 faces.

Lateral area = 6x²

<span>6x² = 144
</span>
<span>x² = 144/6
</span>
<span>x² = 24
</span>
<span>x² = </span>√24

x ≈ 4.899 km 
8 0
4 years ago
The retail cost of a TV is 40​% more than its wholesale cost.​ Therefore, the retail cost is​ ____ times the wholesale cost.
Vikki [24]
Multiply 40 by the total cost of the whole sale and you answer is that:)
8 0
4 years ago
Courtney must earn at least $150 to pay for broken window. She earns $10 for every car she washes.
valkas [14]

Answer:

10c ≥ 150

At least 15 cars (or c ≥ 15)

Step-by-step explanation:

If she gets $10 for every car she washes a car then 10c is the rate of her gaining money and she needs at least (greater than or equal to) $150.

This equation can be used to express the situation:

10c ≥ 150

<em>To solve you divide the 10 from both sides of the inequality to get.</em>

c ≥ 15

5 0
2 years ago
Weight gain during pregnancy. In 2004, the state of North Carolina released to the public a large data set containing informatio
pychu [463]

Answer:

1. B. H0: μ1−μ2=0, HA: μ1−μ2≠0

2. z=1.2114

3. P-value=0.2257

4. Do not reject H0

Step-by-step explanation:

We have to perfomr an hypothesis test to see if there is strong evidence that there is a significant difference between the two population means.

The null and alternative hypothesis are:

H_0: \mu_1-\mu_2=0\\\\H_a: \mu_1-\mu_2\neq0

Being μ1 the mean average gain for younger mothers and μ2 the mean average gain for mature mothers.

(NOTE: we are comparing means, not proportions, as it is the random variable is the weight gain).

As we are claiming "strong evidence", the level of significance will be 0.01.

For younger mothers, the sample size is n1=840, the sample mean is 30.7 and  the sample standard deviation is s1=14.91.

For mature mothers, the sample size is n2=132, the sample mean is 29.15 and the sample standard deviation is s2=13.46.

The difference between means is

M_d=\mu_1-\mu_2=30.7-29.15=1.55

The standard error of the difference between means is

s_M=\sqrt{\dfrac{s_1^2}{n_1}+\dfrac{s_2^2}{n_2}}=\sqrt{\dfrac{14.91^2}{840}+\dfrac{13.46^2}{132}}=\sqrt{ 0.2647+1.3725}=\sqrt{1.6372}\\\\\\s_M=1.2795

Then, the statistic can be calculated as:

z=\dfrac{M_d-(\mu_1-\mu_2)}{s_M}=\dfrac{1.55-0}{1.2795}=1.2114

The P-value for this z-statistic in a two tailed test is:

P-value=2P(z>1.2114)=0.2257

As the P-value is greater than the significance level, the null hypothesis failed to be rejected.

There is no enough evidence to claim that the real average weight gain differs from mature and youger mothers.

5 0
4 years ago
What is the surface area of the solid?
Bas_tet [7]

Answer:

Step-by-step explanation:

Surface Area of Cuboid= 2(6x3)+2(6x10)+2(3x10)=216m²

Surface Area of Sphere= 4πr²

                                       = 4xπx6²

                                       = 144πm²

Surface Area= 144π+216

6 0
2 years ago
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