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joja [24]
3 years ago
15

What is 732-368 equal to

Mathematics
1 answer:
Gemiola [76]3 years ago
6 0
Answer:
364
732
- 368
_______

To find 2-8 you’ll have to take from the 3 in 732 so the three becomes 2 and the 2 becomes 12 so it is now 12-8 which equals 4

73(2)2(12)
- 368
_______
4

The same process for 2-6 so the 7 becomes 6 and the 2 becomes 12
12-6=6

7(6)3(2)(12)2(12)
- 368
________
64

The last step is 6-3 which is just 3
So your answer is 364
You might be interested in
5n + 3n<br> simplify each expression
Setler79 [48]

Answer: 8n

Step-by-step explanation: 5n + 3n

3 0
3 years ago
Pedro fills a glass 2/4 full with orange juice. Write a fraction with a denominator of 6 that is greater than 2/4.
Mice21 [21]
The answer is 3/6.
So we know that 2/4 is equivalent to 1/2. 1/2 of 6 is 3. We can make this our numerator and our denominator as 6.
4 0
3 years ago
It appears that people who are mildly obese are less active than leaner people. One study looked at the average number of minute
hoa [83]

Answer:

Obese people

Lower = \mu - 2\sigma = 373- 2(67) = 239

Upper = \mu + 2\sigma = 373+ 2(67) = 507

Lean People

Lower = \mu - 2\sigma = 526- 2(107) = 312

Upper = \mu + 2\sigma = 526+ 2(107) = 740

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

The empirical rule, also referred to as the three-sigma rule or 68-95-99.7 rule, is a statistical rule which states that for a normal distribution, "almost all data falls within three standard deviations (denoted by σ) of the mean (denoted by µ). Broken down, the empirical rule shows that 68% falls within the first standard deviation (µ ± σ), 95% within the first two standard deviations (µ ± 2σ), and 99.7% within the first three standard deviations (µ ± 3σ)".

Solution to the problem

Obese people

Let X the random variable that represent the minutes of a population (obese people), and for this case we know the distribution for X is given by:

X \sim N(373,67)  

Where \mu=373 and \sigma=67

On this case we know that 95% of the data values are within two deviation from the mean using the 68-95-99.7 rule so then we can find the limits liek this:

Lower = \mu - 2\sigma = 373- 2(67) = 239

Upper = \mu + 2\sigma = 373+ 2(67) = 507

Lean People

Let X the random variable that represent the minutes of a population (lean people), and for this case we know the distribution for X is given by:

X \sim N(526,107)  

Where \mu=526 and \sigma=107

On this case we know that 95% of the data values are within two deviation from the mean using the 68-95-99.7 rule so then we can find the limits liek this:

Lower = \mu - 2\sigma = 526- 2(107) = 312

Upper = \mu + 2\sigma = 526+ 2(107) = 740

The interval for the lean people is significantly higher than the interval for the obese people.

5 0
3 years ago
HELP Me NOW NOW NOW NOW
german

Answer:

The answer is 9/16.

Step-by-step explanation:

Using Indices Law,

{( \frac{a}{b}) }^{n} ⇒ \frac{ {a}^{n} }{ {b}^{n} }

So for this question :

{ (\frac{3}{4}) }^{2}

=  \frac{ {3}^{2} }{ {4}^{2} }

=  \frac{3 \times 3}{4 \times 4}

=  \frac{9}{16}

7 0
3 years ago
If possible please answer
mrs_skeptik [129]

Answer:

<h2>-3<x≤1     -or-    (-3,1]</h2>

4 0
3 years ago
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