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Nana76 [90]
4 years ago
7

(-6/7) (-9/5) type as a simplified fraction ??? HELP

Mathematics
2 answers:
Llana [10]4 years ago
6 0

-3/4  -3/5

i think  hopefully it is


Wittaler [7]4 years ago
4 0

Here is your answer:

In order to solve this question you have to multiply the fractions, and remember that a negative times a negative equals a positive.

  • \frac{-6}{7} \times \frac{-9}{5} =
  • \frac{-6}{7} \times \frac{-9}{5} = \frac{54}{35}
  • The numerator and the denominator don't have a common factor therefore cannot be reduced.
  • = \frac{54}{25}
  • You can also switch the improper fraction into a mixed number which would be 1\frac{19}{35}

Therefore your answer will be "54/25 or 1 19/35."

Hope this helps!

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A bicycle store costs ​$4200 per month to operate. The store pays an average of ​$75 per bike. The average selling price of each
Lelechka [254]

Store should sell about 31 bicycle for average price of $135 each bicycle.

Step-by-step explanation:

  • To find bike we need Algebra to solve the equation.
  • when x = 1 , Y = 135 *x
  • When x 2 , Y = 135 *2
  • Formula you could apply to go for break even y = 135*x
  • Bicycle store pays about $4200
  • Algebra used for every business and working to make easy task.
  • It takes about 31 bicycle a month to get into break even.
  • Every store needs break even to not incur lost.
  • Break even point is equilibrium between income and expenses.

7 0
3 years ago
I'll give 100 brainly points, i just need help...plz
Solnce55 [7]

Answer:

  • A. (x^{2/7})(y^{-3/5})

Step-by-step explanation:

<u>The numerator is:</u>

  • \sqrt[7]{x^2}  = (x^2)^{1/7} = x^{2/7}\\

<u>The denominator is:</u>

  • \sqrt[5]{y^3}  = (y^3)^{1/5} = y^{3/5}

<u>The fraction is equivalent to:</u>

  • \frac{x^{2/7}}{y^{3/5}} =
  • (x^{2/7})(y^{-3/5})

Correct choice is A

4 0
3 years ago
Suppose you flip a fair coin N times. Let random variable h be the number of heads that occur. Use the normal approximation to e
Mariana [72]

Answer:

If n = 1000000, then

P(h E [495000, 505000]) = \int\limits^{50500}_{495000} {\frac{2}{\sqrt{2000000\pi}} e^{\frac{-(k-500000)^2}{500000} }} \, dk

If n = 10400, then

P(h E [495000, 505000]) = \int\limits^{50500}_{495000} {\frac{2}{\sqrt{2000000\pi}} e^{\frac{-(k-500000)^2}{500000} }} \, dk

If N = 102, then

P(h < 40 or h > 60) = 1-P(40

Step-by-step explanation:

Since the coin is fair, then the probability that a filp is heads is 1/2. Given N tries, the amount of heads can be approximated with a Normal distribution with mean μ =  N *1/2 = N/2 and standard deviation σ = √(N*1/2 * 1/2) = √N/ 2

The density function of that random variable is given by de following formula

f_X(k) = \frac{1}{\sqrt{2\pi} * \sigma} e^{\frac{-(k-\mu)^2}{2\sigma^2} } = \frac{2}{\sqrt{2\pi N}} e^{\frac{-2(k-N/2)^2}{N} }

If n = 1000000, then

P(h E [495000, 505000]) = \int\limits^{50500}_{495000} {\frac{2}{\sqrt{2000000\pi}} e^{\frac{-(k-500000)^2}{500000} }} \, dk

If n = 10400, then

P(h E [495000, 505000]) = \int\limits^{50500}_{495000} {\frac{2}{\sqrt{2000000\pi}} e^{\frac{-(k-500000)^2}{500000} }} \, dk

If N = 102, then

P(h < 40 or h > 60) = 1-P(40

4 0
3 years ago
A company claims that less than 10% of adults own a smart watch. You want to test this claim, and you find that in a random samp
Nezavi [6.7K]

Answer:

Test statistic is 0.67

Critical value is -2.33

Step-by-step explanation:

Consider the provided information.

The formula for testing a proportion is based on the z statistic.

z=\frac{\hat p-p_0}{\sqrt{p_0\frac{1-p_0}{n}}}

Were \hat p is sample proportion.

p_0 hypothesized proportion and n is the smaple space,

Random sample of 100 adults, 12% say that they own a smart watch.

A company claims that less than 10% of adults own a smart watch.

Therefore, n = 100  \hat p = 0.12 , P_0 = 0.10

1 - P_0 = 1 - 0.10 = 0.90

Substitute the respective values in the above formula.

z=\frac{0.12-0.10}{\sqrt{0.10\frac{0.90}{100}}}

z\approx 0.67

Hence, test statistic = 0.67

This is the left tailed test.

Now using the table the P value is:

P(z < 0.667) = 0.7476

P-value = 0.7476

\alpha = 0.01

Here,  P-value > α therefore, we are fail to reject the null hypothesis.

Z_{\alpha}= Z_{0.01} = -2.33

Hence, Critical value is -2.33

7 0
3 years ago
5. Create a square model for the equation m + 5 = 12.
77julia77 [94]
If you can give me more information on this I could help you a bit more respond.
3 0
3 years ago
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