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sashaice [31]
3 years ago
14

Demonstrate how repeated subtraction can be used to show that 22 dividend by 7 = 3 r 1

Mathematics
1 answer:
Rudik [331]3 years ago
6 0
22-7-7-7=1 this will show that you can subtract 7 three times from 22 and have a remainder of 1.
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Jericho is doing a quick survey for his high school newspaper. He hands out a simple index card to 100 seniors in his high schoo
Kazeer [188]

Answer:

50

Step-by-step explanation:

From research among high school students in the US, it was discovered in 2017 by US Centre for Disease Control and Prevention Agency(USCDC), that around 57.8% of high school students have drank alcohol in the previous 1 year.

Now, applying it to this question, since the survey is done among 100 seniors, the most modest probability would likely be 50% which represents 50 people out of the 100 surveyed that will likely check yes

8 0
2 years ago
What does the digit 7 represent in 170,280?
Sidana [21]

Answer:

that is the ten thousands place

Step-by-step explanation:

3 0
3 years ago
Suppose that the population mean for income is $50,000, while the population standard deviation is 25,000. If we select a random
Fudgin [204]

Answer:

Probability that the sample will have a mean that is greater than $52,000 is 0.0057.

Step-by-step explanation:

We are given that the population mean for income is $50,000, while the population standard deviation is 25,000.

We select a random sample of 1,000 people.

<em>Let </em>\bar X<em> = sample mean</em>

The z-score probability distribution for sample mean is given by;

               Z = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \mu = population mean = $50,000

            \sigma = population standard deviation = $25,000

            n = sample of people = 1,000

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the sample will have a mean that is greater than $52,000 is given by = P(\bar X > $52,000)

  P(\bar X > $52,000) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } > \frac{52,000-50,000}{\frac{25,000}{\sqrt{1,000} } } ) = P(Z > 2.53) = 1 - P(Z \leq 2.53)

                                                                    = 1 - 0.9943 = 0.0057

<em>Now, in the z table the P(Z </em>\leq<em> x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 2.53 in the z table which has an area of 0.9943.</em>

Therefore, probability that the sample will have a mean that is greater than $52,000 is 0.0057.

5 0
3 years ago
In an ore, 9.8% of its total weight is metal. How many pounds of metal are in 1,950 lb of ore?
Fudgin [204]

Answer

Find out the  how many pounds of metal are in 1,950 lb of ore .

To proof

let us assume that the pounds of metal are in 1,950 lb of ore be x .

As given

In an ore, 9.8% of its total weight is metal.

ore weight = 1,950 lb

9.8% is written in the decimal form

= \frac{9.8}{100}

= 0.098

Than the equation becomes

x = 0.098 × 1950

x = 191.1 pounds

Therefore the 191.1 pounds of metal are in 1,950 lb of ore .

Hence proved



5 0
3 years ago
Please help will give brainliest
zheka24 [161]

Answer:

25 is the area because5 times 5 equals 25

Step-by-step explanation:

hope this helps

4 0
3 years ago
Read 2 more answers
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