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Ira Lisetskai [31]
2 years ago
7

Ken’s predicted temperature for April is 7ºC. His prediction for May is 2ºC higher than April. He used the number line to solve

the problem, starting at 0, moving right to 7, and then moving 2 units to the left. Explain Ken’s error what did he do
Mathematics
2 answers:
Marina86 [1]2 years ago
8 0

Answer:

He should move 2 units further to the right of 7

Step-by-step explanation:

April's temperature = 7°C

Prediction for May is 2ºC higher than April.

So, May's temperatue =  7°C+2ºC =9ºC

Ken's used the number line to solve the problem.

Step 1)Starting at 0, moving right to 7

Step 2)moving 2 units to the left.

He did error in step 2 because the temperature is positive and numbers on right of the - are positive

So, he should move 2 units further to the right of 7

So, He did error in step 2 .

Correct steps :

Step 1)Starting at 0, moving right to 7

Step 2)moving further 2 units to the right.

tia_tia [17]2 years ago
5 0

Answer: Ken Should have moved 9 units to the right because his prediction for May is 9°C. Moving to the left part of the number line would take Ken into negative degrees. 9°C is warmer than 7°C. Therefore, Ken should have moved 9 units to the right of the number line instead of 2 units to the left.


Step-by-step explanation:


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2 years ago
Michael solved this inequality as shown: Step 1: -6(x + 3) + 10 &lt; -2 Step 2: -6x − 18 + 10 &lt; -2 Step 3: -6x − 8 &lt; -2 St
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Answer:

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Step-by-step explanation:

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2 years ago
Tire pressure monitoring systems (TPMS) warn the driver when the tire pressure of the vehicle is 28% below the target pressure.
Alona [7]

Answer:

Step-by-step explanation:

Hello!

The monitoring system warn the driver when the tire pressure of the vehicle is 28% below target pressure.

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The standard normal distribution is tabulated. Any value of any random variable X with normal distribution can be "converted" by subtracting the variable from its mean and dividing it by its standard deviation.

So to calculate each of the asked probabilities, you have to first, "transform" the value of the variable to a value of the standard normal distribution Z, then you use the standard normal tables to reach the corresponding probability.

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Answer:

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Step-by-step explanation:

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