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Orlov [11]
3 years ago
15

What is a reasonable prediction? Please help! :(

Mathematics
1 answer:
wel3 years ago
8 0

Answer:

A estimated guess based off past information not some random number

Step-by-step explanation:

Example:

Make a reasonable prediction on if we will have school tomorrow. We are expecting a foot of snow.

Reasonable: We most likely won't because it will be cold and snowing. And it won't be safe.

Not Reasonable: We will because it will be sunny

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ryan spends 10 1/2 hours at work each day. he has a 3/4 hour lunch and receives two 1/4 hour breaks. how much time does ryan spe
SIZIF [17.4K]
Ryan only work for 9 1/4 hour everyday because he takes 1 1/4 hour of break so you minus the from the total and get the sum of 9 1/4
5 0
3 years ago
A cola-dispensing machine is set to dispense 8 ounces of cola per cup, with a standard deviation of 1.0 ounce. The manufacturer
pshichka [43]

Answer:

Step-by-step explanation:

Hello!

The variable of interest is X: ounces per cup dispensed by the cola-dispensing machine.

The population mean is known to be μ= 8 ounces and its standard deviation σ= 1.0 ounce. Assuming the variable has a normal distribution.

A sample of 34 cups was taken:

a. You need to calculate the Z-values corresponding to the top 5% of the distribution and the lower 5% of it. This means you have to look for both Z-values that separates two tails of 5% each from the body of the distribution:

The lower value will be:

Z_{o.o5}= -1.648

You reverse the standardization using the formula Z= \frac{X[bar]-Mu}{\frac{Sigma}{\sqrt{n} } } ~N(0;1)

-1.648= \frac{X[bar]-8}{\frac{1}{\sqrt{34} } }

X[bar]= 7.72ounces

The lower control point will be 7.72 ounces.

The upper value will be:

Z_{0.95}= 1.648

1.648= \frac{X[bar]-8}{\frac{1}{\sqrt{34} } }

X[bar]= 8.28ounces

The upper control point will be 8.82 ounces.

b. Now μ= 7.6, considering the control limits of a.

P(7.72≤X[bar]≤8.28)= P(X[bar]≤8.28)- P(X[bar]≤7.72)

P(Z≤(8.28-7.6)/(1/√34))- P(Z≤7.72-7.6)/(1/√34))

P(Z≤7.11)- P(Z≤0.70)= 1 - 0.758= 0.242

There is a 0.242 probability of the sample means being between the control limits, this means that they will be outside the limits with a probability of 1 - 0.242= 0.758, meaning that the probability of the change of population mean being detected is 0.758.

b. For this item μ= 8.7, the control limits do not change:

P(7.72≤X[bar]≤8.28)= P(X[bar]≤8.28)- P(X[bar]≤7.72)

P(Z≤(8.28-8.7)/(1/√34))- P(Z≤7.72-8.7)/(1/√34))

P(Z≤-2.45)- P(Z≤-5.71)=0.007 - 0= 0.007

There is a 0.007 probability of not detecting the mean change, which means that you can detect it with a probability of 0.993.

I hope it helps!

5 0
3 years ago
Read 2 more answers
John goes from a sauna at 115 Fahrenheit to an outside temperature of -30 Fahrenheit. What is the change in temperature?
IRINA_888 [86]

Answer: 115 - (-30) = 115 + 30 = 145 degrees change

Step-by-step explanation:

7 0
3 years ago
What is the value of x? 35x – 13 x = x – 1
Papessa [141]

35x – 13 x = x – 1

⇒ 22 x = x - 1

⇒ 22x - x = -1

⇒ 21x = -1

⇒ x = -1/21

Thus,the value of x is -1/21

6 0
3 years ago
Read 2 more answers
PLEASE HELP PLEASE IM TIMED!!!
inysia [295]

Answer:

9316000000000

Simply move the decimal 12 places to the left.

If this helped please mark as brainiest <3

8 0
3 years ago
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