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2 years ago

Mika estimated the sum of 189.27, 15.8, and 11.2 by rounding each number to the nearest whole.

Mathematics

1 answer:

shutvik [7]2 years ago

7 0

Answer:

Mika estimated the sum to be 216; the actual sum is 216.27.

Step-by-step explanation:

Let's find the rounded sum and the actual sum, as follows:

Rounding each number to the nearest whole:

189.27 ⇒ 189

15.8 ⇒ 16

11.2 ⇒ 11

Sum = 189 + 16 + 11

Sum = 216

Actual sum:

Actual sum = 189.27 + 15.8 + 11.2

Actual sum = 216.27

Mika estimated the sum to be 216; the actual sum is 216.27.

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Emi computes the mean and variance for the population data set 87, 46, 90, 78, and 89. She finds the mean is 78. Her steps for f

Nata [24]

Mean = Sum of all the observations/ Number of observations = (87+46+90+78+89)/5 = 78

Variance = SD^2 ------ SD = Standard deviation

It means that with Variance, square root is never taken.

Therefore,
Variance = Summation of square of differences between observation and the mean divided by the number of observations.

That is,
Variance = {(87-78)^2 + (46-78)^2 + (90-78)^2 + (78-78)^2 + (89-78)^2}/5 = 274

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2 years ago

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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.

Be X: target tire pressure of a certain car (pounds per square inch)

X= 28 psi

If the monitoring system will warn the driver when the pressure is 28% below the target pressure: X-0.28X

First step, you have to calculate the 28% of 28psi

28*0.28= 7.84

Second step, is to subtract the calculated 28% to the target pressure:

28 - 7.84= 20.16

The TPMS will trigger a warning at 20.16 psi.

If X~N(μ;σ²)

μ= 28psi (since the average is on target, then the target pressure for the car will be the average value of the distribution)

σ= 3psi

P(X≤20.16)

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.

Z= (X-μ)/σ= (20.16-28)/3= -2.61

Now you have to look for the corresponding value of probability using the Z-table. Since the value is negative you have to the use the left entry of the Z-table, in the first column you'll find the integer and first decimal of the value -2.6- and in the first row you'll find the second decimal value -.-1

The value of probability that corresponds to -2.61 is:

P(Z≤-2.61)= 0.005

You have to calculate the probability of inspecting a tire at random and it being inflated within recommended range, symbolically this is:

P(30≤X≤26)= P(X≤30)-P(X≤26)

Calculate both Z values:

Z= (30-28)/3= 0.67

Z= (26-28)/3= -0.67

P(Z≤0.67)-P(Z≤-0.67)= 0.749 - 0.251= 0.498

The probability of the tire being inflated within recommended inflation range is 0.498.

I hope this helps!

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