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Hatshy [7]
3 years ago
14

37/50 of a number is what percentage of that number? ​

Mathematics
2 answers:
Kazeer [188]3 years ago
4 0

Answer:

74% percentage of 37/50

Simora [160]3 years ago
4 0

Answer:

74%

Step-by-step explanation:

37/50 * 100 = 74%

When you want to obtain percentages, in most of the cases you multiply by 100.

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Please help if you can!
Assoli18 [71]
I think they would go to the rational numbers
6 0
3 years ago
For an art project, Jack used a piece of rope that was of a foot long. Daniel used a piece of rope that was 5 times as long. How
Lemur [1.5K]
5 feet

Explanation:
If jack had a 1 foot long piece of rope than we can simply multiply 1 by 5 and we get 5. Hope this helps!
8 0
3 years ago
Find x.<br> Round to the nearest tenth:<br> y<br> 31°<br> X<br> 400 ft<br> x = ? ]ft
Ludmilka [50]
A = 31 degree
Cos 31 degree = 400/x
X = 400/ Cos 31
= 400/0.8572
= 466.7ft
4 0
2 years ago
Can somebody tell me how to do this?
valentinak56 [21]
I'm pretty sure that 20 is 5 but other than that, I can't help with anymore.
7 0
3 years ago
In order to estimate the difference between the average hourly wages of employees of two branches of a department store, the fol
uysha [10]

Answer:

(9-8) -2.02 \sqrt{\frac{2^2}{25} +\frac{1^2}{20}}= 0.0743

(9-8) +2.02 \sqrt{\frac{2^2}{25} +\frac{1^2}{20}}= 1.926

And we are 9% confidence that the true mean for the difference of the population means is given by:

0.0743 \leq \mu_1 -\mu_2 \leq 1.926

Step-by-step explanation:

For this problem we have the following data given:

\bar X_1 = 9 represent the sample mean for one of the departments

\bar X_2 = 8 represent the sample mean for the other department

n_1 = 25 represent the sample size for the first group

n_2 = 20 represent the sample size for the second group

s_1 = 2 represent the deviation for the first group

s_2 =1 represent the deviation for the second group

Confidence interval

The confidence interval for the difference in the true means is given by:

(\bar X_1 -\bar X_2) \pm t_{\alpha/2} \sqrt{\frac{s^2_1}{n_1}+\frac{s^2_2}{n_2}}

The confidence given is 95% or 9.5, then the significance level is \alpha=0.05 and \alpha/2 =0.025. The degrees of freedom are given by:

df=n_1 +n_2 -2= 20+25-2= 43

And the critical value for this case is t_{\alpha/2}=2.02

And replacing we got:

(9-8) -2.02 \sqrt{\frac{2^2}{25} +\frac{1^2}{20}}= 0.0743

(9-8) +2.02 \sqrt{\frac{2^2}{25} +\frac{1^2}{20}}= 1.926

And we are 9% confidence that the true mean for the difference of the population means is given by:

0.0743 \leq \mu_1 -\mu_2 \leq 1.926

4 0
3 years ago
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