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valina [46]
3 years ago
7

In a class of 100 students, 20 students have hard copy and 80 students have electronic textbooks for the course. If you randomly

choose 10 students in this class, find the approximate probability using a binomial distribution that 3 of them have hard copy texts (round off to second decimal place).
Mathematics
1 answer:
Naddik [55]3 years ago
7 0

Answer:

P(X=3)

And if we use the probability mass function we got:

P(X=3)=(10C3)(0.2)^3 (1-0.2)^{10-3}=0.201 \approx 0.20

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".

Solution to the problem

Let X the random variable of interest "number of students with hard copy texts", on this case we now that:

X \sim Binom(n=10, p=20/100=0.2)

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!}

And we want to find this probability:

P(X=3)

And if we use the probability mass function we got:

P(X=3)=(10C3)(0.2)^3 (1-0.2)^{10-3}=0.201 \approx 0.20

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Answer:

0.5(5 × 10) - 1

Step-by-step explanation:

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Brrunno [24]

Answer:

See below

Step-by-step explanation:

To solve a proportion ( an equation with two equal fractions), cross multiply by  multiplying numerator and denominator of each fraction.

8/5=24/h                               8h = 5*24                    8h = 120              h=15

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h/5=24/8                               8h =5*24                     8h = 120              h=15

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8/24=5/h                               8h = 24*5                    8h = 120              h = 15

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Fizzy Waters has been involved in multiple lawsuits regarding the alkaline substance concentration in their product and getting
ser-zykov [4K]

Answer:

Step-by-step explanation:

For the sample, n = 12

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Variance, s² = (summation(x - mean)²/n

Summation(x - mean)² = (158.2 - 163.22)^2 + (162.8 - 163.22)^2 + (161.5 - 163.22)^2 + (161.2 - 163.22)^2+ (166.5 - 163.22)^2 + (160.1 - 163.22)^2 + (158.4 - 163.22)^2 + (175.6 - 163.22)^2 + (159.9 - 163.22)^2 + (168.8 - 163.22)^2 + (161.9 - 163.22)^2 + (163.7 - 163.22)^2 = 273.5368

Variance, s² = 273.5368/12 = 22.79

This is a test for a single variance. We would set up the test hypothesis.

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The formula for determining the test statistic,x² is

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Where n - 1 is the degree of freedom, df.

df = 12 - 1 = 11

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alpha = 1 - 0.9 = 0.1

The critical value from the chi-square distribution table is 17.28. Since 17.28 > 10.0276, we would reject the null hypothesis. Therefore, the filling machine does not need repair because the variance of the process is not more than 25 oz.

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