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leonid [27]
3 years ago
15

The graph shows the relationship between the pounds of candy bought at a candy shop and the total cost, in dollars.

Mathematics
1 answer:
Vesna [10]3 years ago
6 0
C I took the test and got it right
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What is 96 divided by 7 please help is is due by midnight
mojhsa [17]

Answer:

13.7142857143

Step-by-step explanation:

so just 13

8 0
3 years ago
Mean of four numbers a ,b, c, and d is 8 and mean of seven
Nana76 [90]

Answer:

  • 17 1/3 or 17.33

Step-by-step explanation:

<u>Mean of four numbers a, b, c, and d is 8:</u>

  • (a + b + c + d)/4 = 8  
  • ⇒ a + b + c + d = 32

<u>Mean of seven numbers x, y, z, a, b, c and d is 12:</u>

  • (x + y + z + a + b + c + d)/7 = 12

<u>Substitute the sum of 4 numbers:</u>

  • x + y + z + 32 = 7*12
  • x + y + z = 84 - 32
  • x + y + z = 52

<u>Mean of x, y and z is:</u>

  • 52/3 = 17 1/3 or 17.33
4 0
2 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
What is the slope?
ExtremeBDS [4]
Slope = 4 but I need to get to 20 characters to reply to this question. Have a nice day
6 0
3 years ago
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How many packages of hamburger buns and meat patties should you buy to sell at a baseball tournament?
Mandarinka [93]
13 packs of meat patties and 16 packs of buns
4 0
4 years ago
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