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hjlf
3 years ago
11

A bag has 2 yellow, 7 red, and 1 green marble. What is the probability of picking a green marble, replacing it, and then picking

a yellow marble?
Mathematics
2 answers:
Klio2033 [76]3 years ago
8 0
You will have one out of 10
pochemuha3 years ago
3 0
2 yellow marbles, 7 red marbles, 1 green marble.....total of 10 marbles

probability of picking a green marble : 1/10
replacing marble
probability of picking a yellow marble : 2/10 reduces to 1/5

probability of both events happening : 1/10 * 1/5 = 1/50 <==
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how long will it take for an investment of 2000 to double given an annual interest rate of 6% compounded monthly
Agata [3.3K]
It will take about 16.66 months for the investment to double.
Hope this helps.
5 0
4 years ago
HELPPP PLEASE I NEED AN ANSWER
mina [271]

Answer:

C

Step-by-step explanation:

4 0
3 years ago
The CDC national estimates that 1 in 68 = 0.0147 children are diagnosed with have been diagnosed with Autism Spectrum Disorder (
kakasveta [241]

Answer:

Null hypothesis: p= 0.0147

Alternative hypothesis: p\neq 0.0147

A type of error II for this case would be FAIL to reject the null hypothesis that the population proportion is equal to 0.0147 when actually the alternative hypothesis is true (the true proportion is different from 0.0147).

Step-by-step explanation:

Previous concepts

A hypothesis is defined as "a speculation or theory based on insufficient evidence that lends itself to further testing and experimentation. With further testing, a hypothesis can usually be proven true or false".  

The null hypothesis is defined as "a hypothesis that says there is no statistical significance between the two variables in the hypothesis. It is the hypothesis that the researcher is trying to disprove".  

The alternative hypothesis is "just the inverse, or opposite, of the null hypothesis. It is the hypothesis that researcher is trying to prove".  

Type I error, also known as a “false positive” is the error of rejecting a null  hypothesis when it is actually true. Can be interpreted as the error of no reject an  alternative hypothesis when the results can be  attributed not to the reality.  

Type II error, also known as a "false negative" is the error of not rejecting a null  hypothesis when the alternative hypothesis is the true. Can be interpreted as the error of failing to accept an alternative hypothesis when we don't have enough statistical power.  

Solution to the problem

On this case we want to test if the proportion of children diagnosed with Autism Spectrum Disorder (ASD) is different from 0.0147, so the system of hypothesis would be:

Null hypothesis: p= 0.0147

Alternative hypothesis: p\neq 0.0147

A type of error II for this case would be FAIL to reject the null hypothesis that the population proportion is equal to 0.0147 when actually the alternative hypothesis is true (the true proportion is different from 0.0147).

7 0
3 years ago
Read 2 more answers
HELP ASAP ILL GIVE BRAINLIEST!!!<br><br> Dividing mixed numbers^^
saul85 [17]
1) 199/30
2) 95/12
3) 47/10
4) 103/15
5) 83/10
6) 221/30
6 0
3 years ago
Someone told me the answer was 39?? Is this true? Why ? please help.
Ira Lisetskai [31]
The problem has the equation:

f(x) = (3) ^ (x/2)

In order to get the average increase in the number of flowers being pollinated from day 4 to day 10, then we need to use the equation substituting x with 4 to 10

f(4) = 9
f(5) = 12.59
f(6) = 27
f(7) = 46.77
f(8) = 81
f(9) = 140.30
f(10) = 243

Then add all the values and divide it by 7
 = 559.66 / 7
= 79.95

So the correct answer is 79.95
8 0
3 years ago
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