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astra-53 [7]
3 years ago
14

Order the numbers from least to greatest put the lowest number on the left 9/10 5/12 5/6​

Mathematics
2 answers:
malfutka [58]3 years ago
6 0

\frac{5}{12},\frac{5}{6},\frac{9}{10}

5/12 is a bit less than half. 9/10 is greater than 5/6.

Harlamova29_29 [7]3 years ago
5 0

5/12    Least

5/6

9/10    Greatest

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Please help! I need answers for both questions it’s very confusing!
Lilit [14]

Answer:

for number 5 its:

-15 -8 8/9 -3.3

and for number 6 its:

-3.3 -8 8/9 and -15

also sorry if its wrong

5 0
2 years ago
Read 2 more answers
The trapezoids are similar. Both the left and right sides of the trapezoids are not parallel. Find the values of x, a, b, r° and
Artemon [7]

Answer:

see explanation

Step-by-step explanation:

Since the figures are similar then the ratios of corresponding sides are equal, that is

\frac{12}{x} = \frac{9}{6} ( cross- multiply )

9x = 72 ⇒ x = 8

Also

\frac{a}{5} = \frac{9}{6} ( cross- multiply )

6a = 45 ⇒ a = 7.5

And

\frac{b}{7} = \frac{9}{6} ( cross- multiply )

6b = 63 ⇒ b = 10.5

Corresponding angles in the 2 figures are congruent, thus

∠s = 83°

Each lower base angle is supplementary to the upper base angle on the same side, hence

∠r = 180° - 30° = 150°

5 0
3 years ago
A certain triangle has two 45° angles. What type of triangle is it?
neonofarm [45]
Answer is a right triangle. The angles of a triangle must add to 180 degrees.
You have two 45 degree angles
45 + 45= 90
Now you need 1 more angle to equal 180
180- 90= 90
A right angle is 90 degrees. A right triangle has one right angle and two acute.
3 0
3 years ago
HELP PLEASE
den301095 [7]

Answer:

number 3. is wrong you can reduce once more and it will equal 3/5. and number 4 would be 5/7.

Step-by-step explanation:

divide 12/20 by 2 on the top and bottom. you should get 6/10. you can divide that once more by 2 on the top and bottom and you should get 3/5. thats simplest form.

divide 25/35 by 5 on the top and bottom youll get 5/7. thats the simplest form.

hope this helped :)

6 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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