Find the probability of exactly five successes in seven trials of a binomial experiment in which the probability of success is 70%. Round to the nearest tenth of a percent.​

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Answer 1

Answer:

the probability of exactly five successes in seven trials with a 70% probability of success is approximately 0.0511, or rounded to the nearest tenth of a percent, 5.1%.

Step-by-step explanation:

To find the probability of exactly five successes in seven trials of a binomial experiment with a 70% probability of success, we can use the binomial probability formula.

The binomial probability formula is given by:

P(X = k) = C(n, k) * p^k * (1 - p)^(n - k)

Where:

P(X = k) is the probability of exactly k successes

C(n, k) is the number of combinations of n items taken k at a time

p is the probability of success in a single trial

n is the number of trials

In this case, we want to find P(X = 5) with p = 0.70 and n = 7.

Using the formula:

P(X = 5) = C(7, 5) * (0.70)^5 * (1 - 0.70)^(7 - 5)

Let's calculate it step by step:

C(7, 5) = 7! / (5! * (7 - 5)!)

= 7! / (5! * 2!)

= (7 * 6) / (2 * 1)

= 21

P(X = 5) = 21 * (0.70)^5 * (0.30)^(7 - 5)

= 21 * (0.70)^5 * (0.30)^2

≈ 0.0511

Therefore, the probability of exactly five successes in seven trials with a 70% probability of success is approximately 0.0511, or rounded to the nearest tenth of a percent, 5.1%.


Related Questions

2014 used honda accord sedan lx with 143k miles for 12k a scam in today's economy? how much longer would it last?

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It could also discuss the importance of conducting a test drive and negotiating the price based on any issues found during the inspection.

Given that the 2014 used Honda Accord Sedan LX has 143k miles and costs $12k, the asking price is reasonable.

However, whether or not it is a scam depends on the condition of the car.

If the car is in good condition with no major mechanical issues,

then the price is reasonable for its age and mileage.In terms of how long the car would last, it depends on several factors such as how well the car was maintained and how it was driven.

With proper maintenance, the car could last for several more years and miles. It is recommended to have a trusted mechanic inspect the car before making a purchase to ensure that it is in good condition.

A 250-word response may include more details about the factors to consider when purchasing a used car, such as the car's history, the availability of spare parts, and the reliability of the manufacturer.

It could also discuss the importance of conducting a test drive and negotiating the price based on any issues found during the inspection.

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Homework: Homework 8.2 Compute the probability of event E if the odds in favor of E are 6 30 29 19 (B) 11 29 (D) 23 13 (A) P(E)=(Type the probability as a fraction Simplify, your answer)

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The probabilities of event E are: Option A: P(E) = 23/36, Option B: P(E) = 1/5, Option D: P(E) = 29/48

The probability of an event can be calculated from the odds in favor of the event, using the following formula:

Probability of E occurring = Odds in favor of E / (Odds in favor of E + Odds against E)

Here, the odds in favor of E are given as

6:30, 29:19, and 23:13, respectively.

To use these odds to compute the probability of event E, we first need to convert them to fractions.

6:30 = 6/(6+30)

= 6/36

= 1/5

29:19 = 29/(29+19)

= 29/48

23:1 = 23/(23+13)

= 23/36

Using these fractions, we can now calculate the probability of E as:

P(E) = Odds in favor of E / (Odds in favor of E + Odds against E)

For each of the given odds, the corresponding probability is:

P(E) = 1/5 / (1/5 + 4/5)

= 1/5 / 1

= 1/5

P(E) = 29/48 / (29/48 + 19/48)

= 29/48 / 48/48

= 29/48

P(E) = 23/36 / (23/36 + 13/36)

= 23/36 / 36/36

= 23/36

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victor chooses a code that consists of 4 4 digits for his locker. the digits 0 0 through 9 9 can be used only once in his code. what is the probability that victor selects a code that has four even digits?

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The probability that Victor selects a code that has four even digits is approximately 0.0238 or 1/42.

To solve this problem, we can use the permutation formula to determine the total number of possible codes that Victor can choose. Since he can only use each digit once, the number of permutations of 10 digits taken 4 at a time is:

P(10,4) = 10! / (10-4)! = 10 x 9 x 8 x 7 = 5,040

Next, we need to determine how many codes have four even digits. There are five even digits (0, 2, 4, 6, and 8), so we need to choose four of them and arrange them in all possible ways. The number of permutations of 5 even digits taken 4 at a time is:

P(5,4) = 5! / (5-4)! = 5 x 4 x 3 x 2 = 120

Therefore, the probability that Victor selects a code with four even digits is:

P = (number of codes with four even digits) / (total number of possible codes)

= P(5,4) / P(10,4)

= 120 / 5,040

= 1 / 42

≈ 0.0238

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Find the range, the standard deviation, and the variance for the given sample. Round non-integer results to the nearest tenth.
15, 17, 19, 21, 22, 56

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To find the range, standard deviation, and variance for the given sample {15, 17, 19, 21, 22, 56}, we can perform some calculations. The range is a measure of the spread of the data, indicating the difference between the largest and smallest values.

The standard deviation measures the average distance between each data point and the mean, providing a measure of the dispersion. The variance is the square of the standard deviation, representing the average squared deviation from the mean.

To find the range, we subtract the smallest value from the largest value:

Range = 56 - 15 = 41

To find the standard deviation and variance, we first calculate the mean (average) of the sample. The mean is obtained by summing all the values and dividing by the number of values:

Mean = (15 + 17 + 19 + 21 + 22 + 56) / 6 = 26.7 (rounded to one decimal place)

Next, we calculate the deviation of each value from the mean by subtracting the mean from each data point. Then, we square each deviation to remove the negative signs. The squared deviations are:

(15 - 26.7)^2, (17 - 26.7)^2, (19 - 26.7)^2, (21 - 26.7)^2, (22 - 26.7)^2, (56 - 26.7)^2

After summing the squared deviations, we divide by the number of values to calculate the variance:

Variance = (1/6) * (sum of squared deviations) = 204.5 (rounded to one decimal place)

Finally, the standard deviation is the square root of the variance:

Standard Deviation = √(Variance) ≈ 14.3 (rounded to one decimal place)

In summary, the range of the given sample is 41. The standard deviation is approximately 14.3, and the variance is approximately 204.5. These measures provide insights into the spread and dispersion of the data in the sample.

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Jeff has 32,400 pairs of sunglasses. He wants to distribute them evenly among X people, where X is
a positive integer between 10 and 180, inclusive. For how many X is this possible?

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Answer:

To distribute 32,400 pairs of sunglasses evenly among X people, we need to find the positive integer values of X that divide 32,400 without any remainder.

To determine the values of X for which this is possible, we can iterate through the positive integers from 10 to 180 and check if 32,400 is divisible by each integer.

Let's calculate:

Number of possible values for X = 0

For each value of X from 10 to 180, we check if 32,400 is divisible by X using the modulo operator (%):

for X = 10:

32,400 % 10 = 0 (divisible)

for X = 11:

32,400 % 11 = 9 (not divisible)

for X = 12:

32,400 % 12 = 0 (divisible)

...

for X = 180:

32,400 % 180 = 0 (divisible)

We continue this process for all values of X from 10 to 180. If the remainder is 0, it means that 32,400 is divisible by X.

In this case, the number of possible values for X is the count of the integers from 10 to 180 where 32,400 is divisible without a remainder.

After performing the calculations, we find that 32,400 is divisible by the following values of X: 10, 12, 15, 16, 18, 20, 24, 25, 27, 30, 32, 36, 40, 45, 48, 50, 54, 60, 64, 72, 75, 80, 90, 96, 100, 108, 120, 128, 135, 144, 150, 160, 180.

Therefore, there are 33 possible values for X between 10 and 180 (inclusive) for which it is possible to distribute 32,400 pairs of sunglasses evenly.

Hope it helps!

An executive committee consists of 13 members: 6 men and 7 women. 5 members are selected at random to attend a meeting in Hawail. The names are drawn from a hat. What is the probability that all 5 selected are men? The probability that all selected are men is (Simplify your answer. Type an integer or a simplified fraction)

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There are 6 men and 7 women on the executive committee. 5 of them are randomly chosen to attend a meeting in Hawaii, so we have a sample size of 13, and we are selecting 5 from this sample to attend the meeting.

The sample space is the number of ways we can select 5 people from 13:13C5 = 1287. For the probability that all 5 members selected are men, we need to consider only the ways in which we can select all 5 men:6C5 x 7C0 = 6 x 1

= 6.Therefore, the probability of selecting all 5 men is 6/1287. Answer:6/1287.

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The cost to cater a wedding for 100 people includes $1200.00 for food, $800.00 for beverages, $900.00 for rental items, and $800.00 for labor. If a contribution margin of $14.25 per person is added to the catering cost, then the target price per person for the party is $___.

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Based on the Question, The target price per person for the party is $51.25.

What is the contribution margin?

The contribution Margin is the difference between a product's or service's entire sales revenue and the total variable expenses paid in producing or providing that product or service. It is additionally referred to as the amount available to pay fixed costs and contribute to earnings. Another way to define the contribution margin is the amount of money remaining after deducting every variable expense from the sales revenue received.

Let's calculate the contribution margin in this case:

Contribution margin = (total sales revenue - total variable costs) / total sales revenue

Given that, The cost to cater a wedding for 100 people includes $1200.00 for food, $800.00 for beverages, $900.00 for rental items, and $800.00 for labor.

Total variable cost = $1200 + $800 = $2000

And, Contribution margin per person = Contribution margin/number of people

Contribution margins per person = $1425 / 100

Contribution margin per person = $14.25

What is the target price per person?

The target price per person = Total cost per person + Contribution margin per person

given that, Total cost per person = (food cost + beverage cost + rental cost + labor cost) / number of people

Total cost per person = ($1200 + $800 + $900 + $800) / 100

Total cost per person = $37.00Therefore,

The target price per person = $37.00 + $14.25

The target price per person = is $51.25

Therefore, The target price per person for the party is $51.25.

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Blake Hamilton has money in a savings account that earns an annual interest rate of 3%, compounded monthly. What is the APY (in percent) on Blake's account? (Round your answer the nearest hundredth of a percent.)

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The Annual Percentage Yield (APY) on Blake Hamilton's savings account, which earns an annual interest rate of 3% compounded monthly, is approximately 3.04%.

The APY represents the total annualized rate of return, taking into account compounding. To calculate the APY, we need to consider the effect of compounding on the stated annual interest rate.
In this case, the annual interest rate is 3%. However, the interest is compounded monthly, which means that the interest is added to the account balance every month, and subsequent interest calculations are based on the new balance.
To calculate the APY, we can use the formula: APY = (1 + r/n)^n - 1, where r is the annual interest rate and n is the number of compounding periods per year.
For Blake Hamilton's account, r = 3% = 0.03 and n = 12 (since compounding is done monthly). Substituting these values into the APY formula, we get APY = (1 + 0.03/12)^12 - 1.
Evaluating this expression, the APY is approximately 0.0304, or 3.04% when rounded to the nearest hundredth of a percent.
Therefore, the APY on Blake Hamilton's account is approximately 3.04%. This reflects the total rate of return taking into account compounding over the course of one year.

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1.Find the period of the following functions. a) f(t) = (7 cos t)² b) f(t) = cos (2φt²/m)

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Period of the functions: The period of the function f(t) = (7 cos t)² is given by 2π/b where b is the period of cos t.The period of the function f(t) = cos (2φt²/m) is given by T = √(4πm/φ). The period of the function f(t) = (7 cos t)² is given by 2π/b where b is the period of cos t.

We know that cos (t) is periodic and has a period of 2π.∴ b = 2π∴ The period of the function f(t) =

(7 cos t)² = 2π/b = 2π/2π = 1.

The period of the function f(t) = cos (2φt²/m) is given by T = √(4πm/φ) Hence, the period of the function f(t) =

cos (2φt²/m) is √(4πm/φ).

The function f(t) = (7 cos t)² is a trigonometric function and it is periodic. The period of the function is given by 2π/b where b is the period of cos t. As cos (t) is periodic and has a period of 2π, the period of the function f(t) = (7 cos t)² is 2π/2π = 1. Hence, the period of the function f(t) = (7 cos t)² is 1.The function f(t) = cos (2φt²/m) is also a trigonometric function and is periodic. The period of this function is given by T = √(4πm/φ). Therefore, the period of the function f(t) = cos (2φt²/m) is √(4πm/φ).

The period of the function f(t) = (7 cos t)² is 1, and the period of the function f(t) = cos (2φt²/m) is √(4πm/φ).

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