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alexira [117]
3 years ago
14

In a large school district, it is known that 25% of all students entering kindergarten are already reading.

Mathematics
2 answers:
irina [24]3 years ago
7 0

Answer:

D. 0.5256

Step-by-step explanation:

Use binomial probability:

P = nCr p^r q^(n-r)

where n is the number of trials,

r is the number of successes,

p is the probability of success,

and q is the probability of failure (1-p).

Given n = 10, p = 0.25, and q = 0.75.

If r = 0:

P = ₁₀C₀ (0.25)⁰ (0.75)¹⁰⁻⁰

P = 0.0563

If r = 1:

P = ₁₀C₁ (0.25)¹ (0.75)¹⁰⁻¹

P = 0.1877

If r = 2:

P = ₁₀C₂ (0.25)² (0.75)¹⁰⁻²

P = 0.2816

So the total probability is:

P = 0.0563 + 0.1877 + 02816

P = 0.5256

julia-pushkina [17]3 years ago
4 0

Answer:

Step-by-step explanation:

So 25% of all students knowing how to read means if you pick a random student there is a 25% chance of them being able to read.  if you picked 2 it would be .25*.25 = .0625 or 6.25% both know how to read.  If you picked 10 it would be .25^10 probability that all 10 know how to read.

You want to know the probability of 2 or less (it says fewer than 3 so that's 2 or less) of the 10 being able to read.  I think there is a formula, but I don't know it so I'm going to brute force it.

I am going to find the chance of one knowing how to read and two knowing then add them.  

If we labeled the students A,B,C,D,E,F,G,H,I,J there are 10 different variations where just 1 can read, so we can find one  and then multiply by 10.  In short for one we just multiply the probabilities, so .75^9 * .25, then we multiply by 10 to represent all 10.  so in total, the odds of one new student being able to read is 10*.25*.75^9

Now the chance fo exactly two knowing how to read.  First, how many variations are there.  It is a combination since student A and B knowing is the same as B and A.  so 10C2 or 10 choose 2.  If you don't know how to calculate combinations let me know.  10C2 = 45.  So now if we find the probability of one possibility of two students knowing how to read we can multiply it by 45.

Now to find the probability of any two knowing, we again multiply all the probabilities.  .25^2 * .75^8 then multiply by 45 so 45 * .25^2 * .75^8

Now we know the probability of exactly one knowing how to read and exactly two, so we just add them to get the probability of 1 or 2 knowing.  

10*.25*.75^9 + 45 * .25^2 * .75^8

It doesn't look like any of those are the answer so i have to ask if you have the right values, otherwise I may be wrong.  

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In a clinical trial of 268 subjects treated with a​ drug, 11​% of the subjects reported dizziness. The margin of error is plus o
Mariulka [41]

Answer:

\hat p =0.11 represent the proportion estimated of subjects reported with dizziness

n = 268 represent the random sample selected

\hat q = 1-\hat p = 1-0.11= 0.89 represent the proportion of subjects No reported with dizziness

E= 0.04 = 4% represent the margin of error for the confidence interval

\alpha= 1-0.90 =0.1 and this value represent the significance level of the test or the probability of error type I

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

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 population proportion have the following distribution

p \sim N(p,\sqrt{\frac{p(1-p)}{n}})

Solution to the problem

The confidence interval for the mean is given by the following formula:  

\hat p \pm z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}

The margin of error is given by:

ME= z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}

Lower= 0.11-0.04 = 0.07

Upper= 0.11+0.04 = 0.15

And for this case we have the following info:

\hat p =0.11 represent the proportion estimated of subjects reported with dizziness

n = 268 represent the random sample selected

\hat q = 1-\hat p = 1-0.11= 0.89 represent the proportion of subjects No reported with dizziness

E= 0.04 = 4% represent the margin of error for the confidence interval

\alpha= 1-0.90 =0.1 and this value represent the significance level of the test or the probability of error type I

4 0
3 years ago
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NNADVOKAT [17]

Answer:

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Step-by-step explanation:

MHJ and LHK are vertical angles, which means they are equal

2x-20 = x+15

Subtract x from each side

2x-20-x = x+15-x

x-20 = 15

Add 20 to each side

x-20+20 = 15+20

x = 35

We want to find MHJ

MHJ =2x-20

        =2(35) -20

       = 70 -20

      = 50

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Answer:

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Step-by-step explanation:

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liberstina [14]
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3 0
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