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ValentinkaMS [17]
3 years ago
5

Complete this equations,( show your work).

Mathematics
1 answer:
timurjin [86]3 years ago
3 0

Answer:

21 is: \frac{4}{9} x + \frac{31}{72}

22 is: 4 \frac{39}{44}

23 is:\frac{1}{4} x + \frac{31}{72}

24 is:  \frac{-2}{11} x + \frac{7}{11}

Step-by-step explanation: Hope this helps and good luck mark brainliest if u want :)

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(PLEASE HELP) <br> Find the area of the parallelogram.
allochka39001 [22]

Answer:

Step-by-step explanation:

A = bh


B = 7

H=10

7x10 =70m

7 0
2 years ago
I need help on this one
shusha [124]

Answer:

= 1/26

Step-by-step explanation:

Use Division Distributive Property:

(x/y)^a = x^a/y^a

(^, That means to the power of exponents.)

Then you Simplify  6^3 to 216

Then you will get 1 over 216.

5 0
3 years ago
I need help please think before you answer
Nookie1986 [14]

Answer:a^2

Brailniest if this helped ;)

Also the ^ means an exponent just so you know

6 0
2 years ago
A machine can manufacture 39 units per hour. Assuming 8 hours per day and 5 days per week, the manufacturing time per unit is mi
Crank

Answer:

The manufacturing time is 1.5385 minutes per unit.

Step-by-step explanation:

∵ The units manufactured by machine in 1 hour = 39,

We know that,

1 hour = 60 minutes,

∴ The units manufactured by machine in 60 minutes = 39,

That is,

39 units = 60 minutes,

⇒ 1 unit = \frac{60}{39}=1.53846153846 ≈ 1.5385 minutes,

Hence, the manufacturing time is 1.5385 minutes per unit.

8 0
4 years ago
A simple random sample of 20 days in which Parsnip ate seeds was selected, and the mean amount of time it took him to eat the se
bearhunter [10]

Answer:

(14.5-13.9) -1.69 \sqrt{\frac{3.98^2}{20}+ \frac{4.03^2}{17}} = -1.63

(14.5-13.9) +1.69 \sqrt{\frac{3.98^2}{20}+ \frac{4.03^2}{17}} = 2.83

And the confidence interval for this case -1.63 \leq \mu_1 -\mu_2 \leq 2.83

Step-by-step explanation:

We know the following info from the problem

\bar X_1 = 14.5 sample mean for the group 1

s_1 = 3.98 the standard deviation for the group 1

n_1= 20 the sample size for group 1

\bar X_2 = 13.9 sample mean for the group 2

s_1 = 4.03 the standard deviation for the group 2

n_2= 17 the sample size for group 2

We have all the conditions satisifed since we have random samples.

We want to construct a confidence interval for the true difference of means and the correct formula for this case is:

(\bar X_1 -\bar X_2) \pm t_{\alpha/2}\sqrt{\frac{s^2_1}{n_1} +\frac{s^2_2}{n_2}}

The degrees of freedom are given :

df = n_1 +n_2- 2 = 20+17-2=35

The confidence level is 0.9 or 90% and the significance level is \alpha=1-0.9=0.1 and \alpha/2 = 0.05 and the critical value for this case is:

t_{\alpha/2} = 1.69

And replacing the info given we got:

(14.5-13.9) -1.69 \sqrt{\frac{3.98^2}{20}+ \frac{4.03^2}{17}} = -1.63

(14.5-13.9) +1.69 \sqrt{\frac{3.98^2}{20}+ \frac{4.03^2}{17}} = 2.83

And the confidence interval for this case -1.63 \leq \mu_1 -\mu_2 \leq 2.83

5 0
3 years ago
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