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Sladkaya [172]
3 years ago
10

Kailee and Leanne are working on their math homework. There is a question that says –2 < –4. Kailee says that that is a true

statement, and Leanne said it is not true. Which girl is correct? Use the number line below to prove your answer.
Mathematics
1 answer:
Dmitry [639]3 years ago
5 0
Leanne is correct. -2 < -4 is false.

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Leena knits 10 rows in 12 minutes.
maria [59]

Answer:

It will take 30 minutes!

Hope this helps! :D

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
around a square with diagonal d = 4.6 cm a circle is described. Calculate the perimeter of the circle​
Nadya [2.5K]

Answer:

14.45cm2

Step-by-step explanation:

The diagonal is the diameter of the circle.

4.6cm

The perimeter of the circle is

Pi x4.6= 3.142 * 4.6= 14.45cm2

3 0
3 years ago
Let X be the temperature in at which a certain chemical reaction takes place, and let Y be the temperature in (so Y = 1.8X + 32)
Black_prince [1.1K]

Answer:

See explanation

Step-by-step explanation:

Solution:-

The random variable, Y be the temperature of chemical reaction in degree fahrenheit be a linear expression of a random variable X : The  temperature in at which a certain chemical reaction takes place.

                             Y = 1.8*X + 32

- The median of the random variate "X" is given to be equal to "η". We can mathematically express it as:

                             P ( X ≤ η ) = 0.5

- Then the median of "Y" distribution can be expressed with the help of the relation given:

                             P ( Y ≤ 1.8*η + 32 )

- The left hand side of the inequality can be replaced by the linear relation:

                             P ( 1.8*X + 32 ≤ 1.8*η + 32 )

                             P ( 1.8*X ≤ 1.8*η )   ..... Cancel "1.8" on both sides.

                            P ( X ≤ η ) = 0.5 ...... Proven

Hence,

- Through conjecture we proved that: (1.8*η + 32) has to be the median of distribution "Y".

b)

- Recall that the definition of proportion (p) of distribution that lie within the 90th percentile. It can be mathematically expressed as the probability of random variate "X" at 90th percentile :

                             P ( X ≤ p_.9 ) = 0.9 ..... 90th percentile

- Now use the conjecture given as a linear expression random variate "Y",

          P ( Y ≤ 1.8*p_0.9 + 32 ) = P ( 1.8*X + 32 ≤ 1.8*p_0.9 + 32 )

                                                 = P ( 1.8*X ≤ 1.8*p_0.9 )

                                                 = P ( X  ≤ p_0.9 )

                                                 = 0.9

- So from conjecture we saw that the 90th percentile of "X" distribution is also the 90th percentile of "Y" distribution.

c)

- The more general relation between two random variate "Y" and "X" is given:

                            Y = aX + b

Where, a : is either a positive or negative constant.

- Denote, (np) as the 100th percentile of the X distribution, so the corresponding 100th percentile of the Y distribution would be : (a*np + b).

- When a is positive,

                   P ( Y ≤ a*p_% + b ) = P ( a*X + b ≤ a*p_% + b )

                                                 = P ( a*X ≤ a*p_% )

                                                 = P ( X  ≤ p_% )

                                                 = np_%        

- When a is negative,

                   P ( Y ≤ a*p_% + b ) = P ( a*X + b ≤ a*p_% + b )

                                                 = P ( a*X ≤ a*p_% )

                                                 = P ( X  ≥ p_% )

                                                 = 1 - np_%        

                                                           

4 0
3 years ago
if you took a loan of fifteen million dollars from the bank and the loan is to be repaid in ten years at a simple interest of 5%
Vikki [24]

$750000 for all 10 years and $375000 for just ten years

7 0
3 years ago
How do you choose between mean and median as the best measure for the center of a distribution
slava [35]

The mean is often the default measure of center because it includes every data point, ie its more representative. However, if you have outliers then the mean will be skewed toward the outlier. For example, with home prices, very expensive houses will make the mean larger than it should be if you focused on the main cluster of data. This is why the median home price is often measured and reported (rather than the mean home price).

8 0
3 years ago
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