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kap26 [50]
3 years ago
12

Working as a team, 8 mathletes can solve 20 problems in 10 minutes. At this same rate, how many mathletes are needed in order to

solve 30 problems in 5 minutes?
Mathematics
1 answer:
pshichka [43]3 years ago
4 0

Answer:

12 mathletes is needed to solve 30 problems in 5 minutes

Step-by-step explanation:

8 athletes can solve 20 problems in 10 minutes

30-20=10

now we need 10 more problems to be solved so

20/2=10. 8/2=4 so we need more 4 mathletes to solve all the problems

You might be interested in
Convert 55°44'33" to decimal degree form. Round your answer to four decimal places.​
Andreyy89

Answer:

55,7425

Step-by-step explanation:

Since there are 60 minutes in one degree and 3600 seconds in one degree, the formula is:

Decimal degrees = Degrees + (Minutes/60) + (Seconds/3600)

Here Degrees stay the same 55;

44' = 44/60 ≈ 0,733...

33" = 33/3600  ≈ 0,009166...

I've divided and added those three numbers by calculator in one operation and it shows exactly 55,7425. If you add them separately, you'll need to round the result.

5 0
3 years ago
Amanda's earnings vary directly with the number of hours she works. Suppose that she worked 9 hours yesterday and earned 117. ho
alina1380 [7]

Answer:

91

Step-by-step explanation:

117/9 is 13 which means she earns 13 for each hour and for 7 hours it will be 13 multiply by 7 and that gives 91

6 0
3 years ago
Solve for n. 2/3(1+n)=-1/2n
notka56 [123]

Answer:

=−4/7

Step-by-step explanation:

And yh I'm sorry if I got it wrong

5 0
3 years ago
The sugar content of the syrup in canned peaches is normally distributed. A random sample of n = 10 cans yields a sample standar
Serggg [28]

Answer:

The 95% confidence interval is given by:

3.30<σ<8.76

Step-by-step explanation:

1) Data given and notation

s=4.798 represent the sample standard deviation

\bar x represent the sample mean

n=10 the sample size

Confidence=95% or 0.95

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population mean or variance lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.

The Chi Square distribution is the distribution of the sum of squared standard normal deviates .

2) Calculating the confidence interval

The confidence interval for the population variance is given by the following formula:

\frac{(n-1)s^2}{\chi^2_{\alpha/2}} \leq \sigma^2 \leq \frac{(n-1)s^2}{\chi^2_{1-\alpha/2}}

The next step would be calculate the critical values. First we need to calculate the degrees of freedom given by:

df=n-1=10-1=9

Since the Confidence is 0.95 or 95%, the value of \alpha=0.05 and \alpha/2 =0.025, and we can use excel, a calculator or a tabel to find the critical values.  

The excel commands would be: "=CHISQ.INV(0.025,9)" "=CHISQ.INV(0.975,9)". so for this case the critical values are:

\chi^2_{\alpha/2}=19.022

\chi^2_{1- \alpha/2}=2.700

And replacing into the formula for the interval we got:

\frac{(9)(4.798)^2}{19.022} \leq \sigma \frac{(9)(4.798)^2}{2.700}

10.892 \leq \sigma^2 \leq 76.736

Now we just take square root on both sides of the interval and we got:

3.30 \leq \sigma \leq 8.76

So the best option would be:

3.30<σ<8.76

7 0
3 years ago
Marlena saved
bija089 [108]
125-45=M would be a simple way of writing the amount taken from the original
7 0
3 years ago
Read 2 more answers
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