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likoan [24]
4 years ago
15

4 what’s the answer to this question

Mathematics
1 answer:
lesantik [10]4 years ago
8 0

D. 1/2

We have 4 different suits and we want to know probability of getting a heart or diamond.

We have 2/4 or 1/2 or 50% chance to pick up a heart or diamond card.

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Answer:

b

Step-by-step explanation:

second option 400/3

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WILL AWARD BRAINIEST!! Question is in the attached image.
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Look down at explanation

Step-by-step explanation:

First off if it is true in inches you could use a ruler to measure the bottom it works if you are desperate a lot of the time. Also the bottom of the trapezoid is 6 meters. If you didn't know the perimeter you could split the trapezoid into a rectangle and a triangle. You just have to take off the irrelevant sides when you put it together. So you take the 2 meters from the top of the trapezoid and then the bottom of the triangle is 4, so just split up the trapezoid and find the perimeter of the triangle and rectangle.

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3 years ago
Need help pls and th x s​
Sedaia [141]

Answer:

times 5

Step-by-step explanation:

4 0
3 years ago
What percentage is equal to 2/5?
nikdorinn [45]
40%

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6 0
3 years ago
Read 2 more answers
Based on historical data, your manager believes that 40% of the company's orders come from first-time customers. A random sample
Vedmedyk [2.9K]

Answer:

P(0.26 \leq p \leq 0.43)=0.7204-0.0032=0.7172

Step-by-step explanation:

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

The population proportion have the following distribution

p \sim N(p=0.4,\sqrt{\frac{p(1-p)}{n}}=\sqrt{\frac{0.4(1-0.4)}{91}}=0.0514)

And we can solve the problem using the z score on this case given by:

z=\frac{p_o -p}{\sqrt{\frac{p(1-p)}{n}}}

We are interested on this probability:

P(0.26 \leq p \leq 0.43)

And we can use the z score formula, and we got this:

P(\frac{0.26 -0.4}{\sqrt{\frac{0.4(1-0.4)}{91}}} \leq Z \leq \frac{0.43 -0.4}{\sqrt{\frac{0.4(1-0.4)}{91}}})

P(-2.726 \leq Z \leq 0.584)

And we can find this probability like this:

P(-2.726 \leq Z \leq 0.584)=P(Z

7 0
3 years ago
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