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Vika [28.1K]
3 years ago
6

Find the distance between the given points. (2,4) (6,-2)

Mathematics
1 answer:
masya89 [10]3 years ago
4 0

Answer:

y=-1/2x+7

Step-by-step explanation:

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What divide by what equals 0.0505........​
Oksana_A [137]

\frac{5}{99} = 0.05050505...

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3 years ago
The Widgetville County Wolfpack has won 90 percent of their last 20 games played under a full moon. What does this imply
Fiesta28 [93]

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This means: there is correlation between their pay and the occurrence of a full moon.

4 0
2 years ago
The car consumes 6 liters per 100 km. How many kilometers can you drive with this car if the tank has 42 liters?
DaniilM [7]

Answer:

If 100km enables consumption of 6lts

what about 42lts

42/6 multiply by 100km

42/6*100= 700km

The car will consume 42lts in 700 km.

Thank you.

Step-by-step explanation:

5 0
3 years ago
Show your work. (x^2 + 2x +3)(x^2 - 2x -2)
Fudgin [204]
I got:
by multiplying each factor....
x^4 - 2x^3 - 2x^2 + 2x^3 - 4x^2 - 4x + 3x^3 - 6x - 6
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answer is:
x^6 - 3x^2 - 10x - 6
5 0
3 years ago
As the sample size for a t-distribution increases, the differences between the t-distribution and the standard normal distributi
scZoUnD [109]

Answer:

The differences become smaller

Step-by-step explanation:

Normally, we use the t-distribution table rather than the normal distribution when the population standard deviation is unknown and when the sample size is small i.e. less than 30.

Now, as the sample size gets bigger, we will be getting closer to the point where we have to use the normal distribution.

This means that as the sample size increases, the values of the t-distribution will be getting close to that of the normal distribution because normal distribution is used when sample is more than 30.

For example the t-value for a sample of 25 people would be closer to the normal distribution value for a sample of 35 people while a t-value for a sample of 15 people will be far away from the normal distribution value for a sample of 35 people.

Thus, as the sample size increases, the differences between the t-distribution and standard normal distribution becomes smaller.

4 0
3 years ago
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