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Dima020 [189]
1 year ago
7

Estimate the indicated probability by using normal distribution as an approximation to the binomial distribution. Estimate P(6)

for n=18 p=0.3
Mathematics
1 answer:
lianna [129]1 year ago
5 0

Answer:

P(6) = 0.6217

Step-by-step explanation:

To find P(6), which is the probability of getting a 6 or less, we will need to first calculate two things: the mean of the sample (also known as the "expected value") and the standard deviation of the sample.  

Mean = np

Here, "n" is the sample size and "p" is the probability of the outcome of interest, which could be getting a heads when a tossing a coin, for instanc

So, Mean = n × p = (18) ×(0.30) = 5.4

Next we we will find the standard deviation:

Standard Deviation = \sqrt{npq}

n = 18  and  p = 0.3   "q" is simply the probability of the other possible outcome (maybe getting a tails when flipping a coin), so   q = 1 - p

Standard Deviation =\sqrt{npq} = \sqrt{(18)(0.3)(0.7)}  

                                                            = 1.944

Now calculate the Z score for 6 successes.  

Z = ( of successes we're interested in - Mean) ÷ (Standard Deviation)

=(6-5.4)  ÷ (1.944) = 0.309

we have our Z-score, we look on the normal distribution and find the area of the curve to the left of a Z value of 0.309.  This is basically adding up all of the possibilities for getting less than or equal to 6 successes.  So, we get 0.6217.

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Pavel [41]

Answer:

a) For this case we can use the binomial model since we assume independent events and the same probability for each trial is the same p =0.15

b) P(X=0)=(10C0)(0.15)^0 (1-0.15)^{10-0}=0.1969

c) P(X=3)=(10C3)(0.15)^3 (1-0.15)^{10-3}=0.1298

d) P(X \geq 1)= 1-P(X

And using the result from part a we got:

P(X \geq 1)= 1-P(X

Step-by-step explanation:

Previous concepts

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".  

Let X the random variable of interest, on this case we now that:  

X \sim Binom(n p)  

The probability mass function for the Binomial distribution is given as:  

P(X)=(nCx)(p)^x (1-p)^{n-x}  

Where (nCx) means combinatory and it's given by this formula:  

nCx=\frac{n!}{(n-x)! x!}  

Solution to the problem

Part a

For this case we can use the binomial model since we assume independent events and the same probability for each trial is the same p =0.15

Part b

For this case we want this probability:

P(X=0)

And replacing we got:

P(X=0)=(10C0)(0.15)^0 (1-0.15)^{10-0}=0.1969

Part c

For this case we want this probability:

P(X=3)

And replacing we got:

P(X=3)=(10C3)(0.15)^3 (1-0.15)^{10-3}=0.1298

Part d

For this cae we want thi probability:

P(X \geq 1)

And we can use the complment rule and we got:

P(X \geq 1)= 1-P(X

And using the result from part a we got:

P(X \geq 1)= 1-P(X

4 0
2 years ago
The process that produces Sonora Bars (a type of candy) is intended to produce bars with a mean weight of 56 gm. A random sample
oksano4ka [1.4K]

Answer:

t=\frac{55.82-56}{\frac{0.77}{\sqrt{49}}}=-1.636      

Step-by-step explanation:

Data given and notation      

\bar X=55.82 represent the sample mean

s=0.77 represent the standard deviation for the sample      

n=49 sample size      

\mu_o =56 represent the value that we want to test    

\alpha represent the significance level for the hypothesis test.    

t would represent the statistic (variable of interest)      

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.      

We need to conduct a hypothesis in order to determine if the mean is less than 56, the system of hypothesis would be:      

Null hypothesis:\mu \geq 56      

Alternative hypothesis:\mu < 56      

We don't know the population deviation, so for this case is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:      

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}} (1)      

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic      

We can replace in formula (1) the info given like this:      

t=\frac{55.82-56}{\frac{0.77}{\sqrt{49}}}=-1.636      

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2 years ago
Identify the design of the following study. A researcher classifies students according to three parental income groups and also
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Answer:

140000000

Step-by-step explanation:

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1 year ago
30 PTS!!!!! Cole needs to include at least 11​ mg and at most 22​ mg of iron in his diet each day. Cole plans to eat multiple ba
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Answer:

See explanation

Step-by-step explanation:

<u>Part A:</u> If Cole eats 3​ bananas each day. These 3 bananas contain 3\cdot 0.3=0.9 mg of iron.

Let x be the number of vitamins Cole takes. Each whole vitamin contains 4​ mg of iron, then x vitamins contain 4x mg of iron.

The total amount of iron Cole takes is

0.9+4x\ mg

Cole needs to include at least 11​ mg and at most 22​ mg of iron in his diet each day, so

11\le 0.9+4x\le 22

Solve it:

11-0.9\le 4x\le 22-0.9\\ \\10.1\le 4x\le 21.1\\ \\2.525\le x\le 5.275

The smallest number of vitamins - 3, the greatest number of vitamins - 5.

<u>Part B: </u>Cole continues to eat 3​ bananas each day. He pays \$2\cdot 7=\$14 for bananas per week.

If Cole spends a total of $20​ on bananas and vitamins this week, then he spent $20 - $14 = $6 on vitamins.

Let x be the number of vitamins Cole takes this week.

First 10​ vitamins are free, then x - 10 vitamins each cost $0.50 (he pays an additional dollar for every 2​ additional vitamins he purchases) and they cost

\$0.50(x-10)

This amount of money is exactly $6, so

0.50(x-10)=6\\ \\5(x-10)=60\\ \\x-10=12\\ \\x=22

This means Cole takes 3 vitamins per day (the whole number) and he is able to meet his iron requirement every day this week, based on  answer in Part A.

5 0
2 years ago
Read 2 more answers
A Cepheid star is a type of variable star, which means its brightness is not constant. The relationship between the brightness o
White raven [17]

Answer:

The absolute brightness of the Cepheid star after a period of 45 days is -5.95

Step-by-step explanation:

Since the absolute magnitude or brightness of a Cepheid star is related to its period or length of its pulse by

M = –2.78(log P) – 1.35 where M = absolute magnitude and P = period or length of pulse.

From our question, it is given that P = 45 days.

So, M = –2.78(log P) – 1.35

M = –2.78(log 45) – 1.35

M = –2.78(1.6532) – 1.35

M = -4.60 - 1.35

M = -5.95

So, the absolute magnitude or brightness M of a Cepheid star after a period P of 45 days is -5.95

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2 years ago
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