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Natalka [10]
3 years ago
5

Which expression is irrational? 8 over 5. square root of 4 square root of 10. square root of 64

Mathematics
2 answers:
Misha Larkins [42]3 years ago
5 0

Answer:

√10 is rational i belive it is √64

Step-by-step explanation:

never mind

timama [110]3 years ago
3 0
8/5  is rational. It is expressed as a ratio of two integers.

√4 = 2 = 2/1 . This is rational because it expressed as ratio of two integers.

√64 = 8. This is rational because it expressed as ratio of two integers.

√10 = 3.16227..... The decimal part does not end and it is irrational because it can not be expressed as ratio of two integers.

Therefore √10 is irrational.
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Flura [38]
The way I solved this problem was by subtracting 200-75 and getting 125. So he would need to mow 125 more lawns. To check your answer you can add 125+75 and get 200
I hope this helped :)
8 0
3 years ago
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Bruce drew a scale drawing of a house and its lot. The house's driveway, which is 17 feet
serg [7]

Answer:

1/6

Step-by-step explanation:

Convert 17 feet to inches. 17×12 = 204

204 inches to 34 inches.

204/34 = 6

Remember we are scaling down

204× 1/6 = 34

3 0
3 years ago
Need help with this math question please
lesya692 [45]

Answer:

See below for answer.

Step-by-step explanation:

RP/RT =RQ/RS                  Given

∠R = ∠R

ΔPQR similar to Δ TSR      If the measures of two sides of a triangle are proportional to the measures of two corresponding sides of another triangle and their included angles are congruent, then the triangles are similar.

3 0
3 years ago
Jodie spent 25% less buying her English reading books thank Claudia. .Gianna spent 9% less than Claudia. Gianna spent more than
Vikki [24]

Answer:

21.3%

Step-by-step explanation:

Given that:

Money spent by Jodie for buying English reading books = 25% lesser than that of Claudia

and

Money spent by Gianna is 9% lesser than that of Claudia.

To find:

By what percent, Gianna spent more than Jodie ?

Solution:

Let the money spent by Claudia on her English books = 100

Now, as per question statement:

Money spent by Jodie = 100 - \frac{9}{100}\times 100 = 75

Money spent by Gianna = 100 - \frac{25}{100}\times 100 = 91

Now, to find the answer:

\dfrac{\text{Difference between money spent by Gianna and Jodie}}{\text{Money spent by Jodie}}\times 100

\Rightarrow \dfrac{91-75}{75}\times 100\\\Rightarrow \dfrac{16}{75}\times 100\\\Rightarrow \bold{21.3\%}

Therefore, Gianna spent <em>21.3% </em>more than the amount that was spent by Jodie.

4 0
3 years ago
A driver's education course compared 1,500 students who had not taken the course with 1,850 students who had. Of those students
aivan3 [116]

Answer:

P-value is less than 0.999995 .

Step-by-step explanation:

We are given that a driver's education course compared 1,500 students who had not taken the course with 1,850 students who had.

Null Hypothesis, H_0 : p_1 = p_2 {means students who took the driver's education course and those who didn't took have same chances to pass the written driver's exam the first time}

Alternate Hypothesis, H_1 : p_1 > p_2 {means students who took the driver's education course were more likely to pass the written driver's exam the first time}

The test statistics used here will be two sample Binomial statistics i.e.;

                             \frac{(\hat p_1 - \hat p_2)-(p_1 - p_2)}{\sqrt{\frac{\hat p_1(1- \hat p_1)}{n_1} + \frac{\hat p_2(1- \hat p_2)}{n_2} } } ~ N(0,1)

Here, \hat p_1 = No. of students passed the exam ÷ No.of Students that had taken the course

 \hat p_1  = \frac{1150}{1850}            Similarly,  \hat p_2 = \frac{1440}{1500}          n_1 = 1,850       n_2 = 1,500

  Test Statistics = \frac{(\frac{1150}{1850} -\frac{1440}{1500})-0}{\sqrt{\frac{\frac{1150}{1850}(1- \frac{1150}{1850})}{1850} + \frac{\frac{1440}{1500}(1- \frac{1440}{1500})}{1500} } } = -27.38

P-value is given by, P(Z > -27.38) = 1 - P(Z > 27.38)

Now, in z table the highest critical value given is 4.4172 which corresponds to the probability value of 0.0005%. Since our test statistics is way higher than this so we can only say that the p-value for an appropriate hypothesis test is less than 0.999995 .

6 0
3 years ago
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