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diamong [38]
3 years ago
15

7 yards, 2 feet = ___________ inches

Mathematics
1 answer:
Verdich [7]3 years ago
8 0

1 foot = 12 inches

Multiply to find the amount of inches.

12 * 2 = 24

Therefore, the answer is 24 inches.

Best of Luck!

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Find the value of x. 5^x+1+5^2-x=126<br><br>Step by step explanation ​
Schach [20]

Step-by-step explanation:

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3 0
2 years ago
Ratios, decimals, simplest form
Aleks04 [339]
101 to 263, 101 / 263,
8 0
3 years ago
What is 4.22 x 10^17 seconds
Allushta [10]

We can rewrite the given time as:

  • 7.03x10^15 mins
  • 1.17x10^14 hours.
  • 4.88x10^12 days.
<h3>What is 4.22x10^17 seconds in minutes and hours?</h3>

First, remember that:

60s = 1 min

Then to write that amount in minutes, we just need to divide by 60, so we get:

(4.22x10^17)/60  mins=  7.03x10^15 mins

Now, remember that:

1 hour = 3600s

Then to get the time in hours, we need to divide by 3600:

(4.22x10^17)/3600 h = 1.17x10^14 hours.

Similarly, you can change to any time unit that you want, for example:

1 day = 24*3600 s

Then the time in days is:

(4.22x10^17)/(24*3600) days = 4.88x10^12 days.

And so on.

If you want to learn more about changes of units:

brainly.com/question/9032119

#SPJ1

8 0
1 year ago
Please help me, ill mark brainliest
madam [21]

Answer:  (6,1.5)  THE GRAPH IS ATTACHED.

Step-by-step explanation:

The Slope-Intercept form of the equation of a line is:

y=mx+b

Where "m" is the slope of the line and "b" is the y-intercept.

In this case, you have the first equation:

y=-\frac{1}{2}x+4\frac{1}{2}

You can identify that:

m=-\frac{1}{2}\\\\b=4\frac{1}{2}

If you convert the Mixed number to a Decimal number, you get:

b=4+0.5=4.5

Then, knowing the slope and the y-intercept, you can graph the line.

The second equation is:

3x-4y=12

Solve for "y":

-4y=-3x+12\\\\y=\frac{3}{4}x-3

Knowing that:

m=\frac{3}{4}\\\\b=-3

You can graph the line.

The point of intersection between both lines, is the solution of the system. This is:

(6,1.5)

Observe the graph attached.

4 0
3 years ago
Suppose a production line operates with a mean filling weight of 16 ounces per container. Since over- or under-filling can be da
miss Akunina [59]

Answer:

From the question we are told that

   The  population mean is  \mu  =  16

    The sample size is  n  =  30  

     The  sample mean is  \= x =  16.32

     The  population standard deviation is  \sigma  =  0.8

      The  level of significance is  \alpha  = 0.10

Step 1: State hypotheses:

The  null hypothesis is  H_o :  \mu = 16

The alternative hypothesis is  H_a :  \mu \ne  16

Step 2: State the test statistic. Since we know the population standard deviation and the sample is large our test statistics is

          t = \frac{ \= x  -\mu }{ \frac{\sigma}{ \sqrt{n} } }

=>       t = \frac{ 16.32  -16  }{ \frac{0.8 }{ \sqrt{30} } }

=>       t =2.191

Generally the degree of freedom is mathematically represented as

          df  =  n - 1

=>      df  =  30  - 1

=>      df  =29

Step 3: State the critical region(s):

From the student t-distribution table the critical value corresponding to  \alpha  = 0.10  is

         t = 1.311

Generally the critical regions is mathematically represented as  

         - 1.311 < T <  1.311

Step 4: Conduct the experiment/study:

Generally the from the value obtained we see that the t value is outside the critical region so  the decision is [Reject the null hypothesis ]  

Step 5: Reach conclusions and state in English:

  There is  sufficient evidence to show that the filling weight has to be adjusted

Step 6: Calculate the p-value associated with this test. How does this the p-value support your conclusions in Step 5?

From the student t-distribution table the probability value to the right corresponding to t =2.191 at  a degree of freedom of  df  =29  is

        P( t > 2.191) =  0.0183

Generally the p-value is mathematically represented as

       p-value  = 2 * P( t >  2.191 )

=>    p-value  = 2 * 0.0183

=>    p-value  =  0.0366

Generally  looking at the value obtained we see that p- value <  \alpha hence

The decision rule is

Reject the null hypothesis

Step-by-step explanation:

4 0
3 years ago
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