what is the partial-fraction expansion of the rational function f(s)=6s3 120s2 806s 1884(s2 10s 29)2 ?

There are 970,200 ways to select a first-prize winner, a second-prize winner, and a third-prize winner from 100 different people in the contest.

To determine the number of ways to select a first-prize winner, a second-prize winner, and a third-prize winner from 100 different people who have entered a contest, you can use the concept of permutations. In this case, you are choosing 3 winners from 100 people, and the order of selection matters.

The formula for permutations is P(n, r) = n! / (n-r)!, where n is the total number of elements, r is the number of elements to be chosen, and ! denotes the factorial.

Using this formula, you have:

P(100, 3) = 100! / (100-3)!

= 100! / 97!

= (100 × 99 × 98 × 97!)/(97!)

The 97! terms cancel out, leaving:

= 100 × 99 × 98

= 970,200

So, there are 970,200 ways to select a first-prize winner, a second-prize winner, and a third-prize winner from 100 different people who have entered a contest.

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To find the standard error of the sample mean, we use the formula. The standard error of the sample mean derived from a random sample of 12 bowls is approximately 0.0866 inches.

The expected value in this case is simply the mean diameter of the smaller series, which is 7 inches.

To find the standard error of the sample mean, we use the formula:

Standard Error = Standard Deviation / Square Root of Sample Size

Plugging in the given values, we get:

Standard Error = 0.3 / sqrt(12) = 0.086

Therefore, the standard error of the sample mean derived from a random sample of 12 bowls is 0.086 inches.

The expected value is the mean diameter of the bowls. In this case, the mean diameter is already provided, which is 7 inches. So, the expected value is 7 inches.

Now, to find the standard error of the sample mean, we will use the formula:

Standard Error (SE) = (Standard Deviation) / √(Sample Size)

In this case, the standard deviation is 0.3 inch and the sample size is 12 bowls.

SE = 0.3 / √12 ≈ 0.3 / 3.46 ≈ 0.0866 inches

So, the standard error of the sample mean derived from a random sample of 12 bowls is approximately 0.0866 inches.

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By using the Fundamental Counting Principle we can say that number of ways a person can order a two-course meal from 7 entrees and 11 desserts is 77.

The Fundamental Counting Principle is a basic counting rule in combinatorics that is used to calculate the total number of possible outcomes when there are two or more groups of items to choose from. The principle states that the total number of outcomes is equal to the product of the number of items in each group.

In this problem, we have two groups of items: 7 entrees and 11 desserts. To find the total number of ways of ordering a two-course meal, we can apply the Fundamental Counting Principle. First, we need to choose one item from the first group (entrees), and then we need to choose one item from the second group (desserts).

Since there are 7 entrees and 11 desserts, the number of ways to choose one item from each group is given by the product of the number of items in each group, which is 7 x 11 = 77. Therefore, there are 77 possible ways to order a two-course meal from 7 entrees and 11 desserts.

The Fundamental Counting Principle is a powerful tool that can be used to solve a wide variety of counting problems in probability theory and combinatorics. By understanding this principle, we can quickly and easily calculate the total number of possible outcomes in complex situations that involve multiple groups of items.

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A woman who develops gestational diabetes mellitus has a 3 - 7 times greater probability of developing type 2 diabetes mellitus within 5 - 10 years.

Gestational diabetes mellitus (GDM) is a type of diabetes that occurs

during pregnancy, and it usually goes away after delivery.

However, women who develop GDM have an increased risk of developing

type 2 diabetes later in life.

This is because GDM is a sign that the body has difficulty processing

glucose, which can lead to high blood sugar levels.

Women who have had GDM should get regular follow-up care and

screening for diabetes to manage their risk.

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The speed of the river is ...

.. (40 m/min)*(60 min/h)*((1 km)/(1000 m)) = 2.4 km/h

Here, we have,

speed = distance/time

Let d represent the distance between the ports. Let s represent the speed of the ship.

Downstream, we have

.. s +2.4 = d/4.5

.. s = d/4.5 -2.4

Upstream, we have

.. s -2.4 = d/6/3

.. s = d/6.3 +2.4

Now, we have the speed of the ship represented two ways. We assume the speed of the ship doesn't vary. so these are equal.

.. (d/6.3) +2.4 = (d/4.5) -2.4

.. 4.8 = d(1/4.5 -1/6.3) = d(4/63) . . . . . rearrange and simplify

.. 75.6 = d . . . . . . . . . . . . . . . . . . . . . . .multiply by 63/4

The distance between the two ports is 75.6 km.

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Reflecting the triangle ABC over the line y = x - 5 maps it to the triangle A"B"C"

From the question, we have the following parameters that can be used in our computation:

Triangles ABC and A"B"C"

Also, we have the figure

From the figure we can see that

Translation would not map the triangles

Of all the other transformations, a reflection over the line y = x - 5 may map the triangles

This means that reflecting the triangle ABC over the line y = x - 5 maps it to the triangle A"B"C"

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The value of angle A is 43⁰.

The value of arc CE is 44⁰.

The value of angle C is 43⁰.

The value of angle ABE is 90⁰

The value of angle A is calculated by applying the following formula as shown below;

∠A  = ¹/₂ arc BD (intersecting chord theorem)

∠A  = ¹/₂ x 86⁰

∠A  = 43⁰

arc CE = 2 ∠mCBE

arc CE = 2 x 22

arc CE = 44⁰

∠A = ∠ C (vertical opposite angles are equal)

∠C = 43⁰

∠ABE = 90⁰

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First, we need to convert 11 gallons to liters. One gallon is equal to 3.78541 liters, so 11 gallons is equal to 41.64 liters (rounded to two decimal places). It will take approximately 51 seconds to pump 11 gallons of gas at a rate of 49 liters per minute.

Now we can use the formula:

time = volume ÷ rate

Plugging in the values we have:

time = 41.64 ÷ 49

time = 0.85 minutes

But we need the answer in seconds, so we need to convert minutes to seconds by multiplying by 60:

time = 0.85 x 60

time ≈ 51 seconds

Therefore, it will take approximately 51 seconds to pump 11 gallons of gas at a rate of 49 liters per minute.

To find out how many seconds it will take to pump 11 gallons of gas at a rate of 49 liters per minute, follow these steps:

1. Convert gallons to liters: There are approximately 3.78541 liters in 1 gallon. So, 11 gallons x 3.78541 L/gallon = 41.63951 liters.

2. Calculate the time required: Since the pump rate is 49 liters per minute, we need to find out how many minutes it takes to pump 41.63951 liters.
  Time (minutes) = Amount of gas (liters) / Pump rate (liters/minute)
  Time (minutes) = 41.63951 L / 49 L/min = 0.85079 minutes

3. Convert minutes to seconds: There are 60 seconds in 1 minute.
  Time (seconds) = Time (minutes) x 60 seconds/minute
  Time (seconds) = 0.85079 minutes x 60 seconds/minute = 51.0474 seconds

So, it will take approximately 51 seconds to pump 11 gallons of gas at a rate of 49 liters per minute.

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The researcher in question has performed a meta-analysis. A meta-analysis is a statistical method used to synthesize the findings from multiple studies that have investigated a similar research question using the same variables and measurement strategies. In this case, the researcher is interested in examining the relationship between exercise and myasthenia gravis.

The process of conducting a meta-analysis involves several steps. First, the researcher identifies and selects relevant studies that meet specific criteria, such as using the same dependent and independent variables (in this case, exercise and myasthenia gravis). In this scenario, 28 studies were identified that meet these requirements.
Next, the researcher extracts the relevant data from each study, such as effect sizes, sample sizes, and other important information. This allows the researcher to compare and combine the results of the individual studies into a single, comprehensive statistical analysis.

In summary, the researcher has conducted a meta-analysis to synthesize the results from 28 studies examining the relationship between exercise and myasthenia gravis, allowing for a more comprehensive understanding of the topic.

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The number of miles they would have driven if they hadn't taken a shortcut is 31.3 miles

From the question, we have the following parameters that can be used in our computation:

Distance travelled = 35.2 miles

Shortcut = 3.9 miles

Using the above as a guide, we have the following:

Distance after taking shortcut = Distance travelled - Shortcut

Substitute the known values in the above equation, so, we have the following representation

Distance after taking shortcut = 35.2 - 3.9

Evaluate

Distance after taking shortcut = 31.3

Hence. the distance after taking shortcut is 31.3 miles

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Therefore, there are 4,084,710,000 distinct strings of 20-decimal digits with the given conditions.

To determine the number of strings of 20-decimal digits with the given conditions, we will use the concept of permutations. Here's the explanation:
There are 20 positions in the string for placing the digits. We will calculate the number of ways we can arrange the digits in the string.
1. Place two 0s: Choose 2 positions out of 20, which can be done in C(20, 2) ways.
2. Place four 1s: Choose 4 positions out of the remaining 18, which can be done in C(18, 4) ways.
3. Place three 2s: Choose 3 positions out of the remaining 14, which can be done in C(14, 3) ways.
4. Place two 3s, two 4s, two 5s, and two 7s: There are 8 positions left, and we can arrange the remaining digits in 8!/(2! * 2! * 2! * 2!) ways (as each digit appears twice).
5. Place three 9s: This will be done automatically, as there are 3 positions left for the three 9s.
Now, to find the total number of strings, multiply the number of ways for each step:
Total strings = C(20, 2) * C(18, 4) * C(14, 3) * [8!/(2! * 2! * 2! * 2!)].
Therefore, there are 4,084,710,000 distinct strings of 20-decimal digits with the given conditions.

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The average time a patrol car is not available for use is 9.375 hours, and the average number of patrol cars out of service at any one time is approximately 0.0375.

The Bay City Police Department operates eight patrol cars that are constantly in use 24 hours a day. With a patrol car requiring repairs every 20 days on average (following an exponential distribution), it is important to assess the average downtime of a patrol car and the number of cars out of service at any given time.

Considering that the repair time is exponentially distributed with an average of 18 hours, we can determine the repair rate as the inverse of the average repair time: 1/18 cars per hour. Similarly, the average time between required repairs is 20 days, and the failure rate is 1/20 cars per day, which equals 1/480 cars per hour (given that there are 24 hours in a day).

Using Little's Law, which states that the average number of items in a system (L) is equal to the arrival rate (λ) multiplied by the average time spent in the system (W), we can find the average number of patrol cars out of service (L) by multiplying the failure rate (1/480 cars per hour) by the average repair time (18 hours): L = (1/480) * 18 ≈ 0.0375 cars.

This result indicates that, on average, approximately 0.0375 patrol cars are out of service at any one time. To determine the average time a patrol car is not available for use, we can multiply the failure rate by the average number of patrol cars out of service: (1/480 cars per hour) * (0.0375 cars) ≈ 9.375 hours.

In conclusion, Given these values, the repair service appears to be adequate for the Bay City Police Department, as there is only a small fraction of patrol cars out of service at any given time.

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To use the Chain Rule to find az/as and az/at, we need to first identify the variables involved in the equation. From the given terms, we have.

- a = function of s and t
- z = function of s and t
- s = independent variable
- t = independent variable
- θ = constant
Using the Chain Rule, we can find the partial derivatives of a and z with respect to s and t. The general formula for the Chain Rule is:
∂(a or z)/∂(s or t) = ∂a/∂s * ∂s/∂(s or t) + ∂a/∂t * ∂t/∂(s or t)
Applying this formula to our given equation, we get:
∂a/∂s = 3t^2 cos(θ)
∂a/∂t = s^3 cos(θ)
∂z/∂s = -7s^6 sin(θ)
∂z/∂t = t^3 sin(θ)
Using these partial derivatives, we can now find az/as and az/at as follows:
az/as = ∂a/∂s * ∂z/∂t - ∂z/∂s * ∂a/∂t
     = 3t^2 cos(θ) * t^3 sin(θ) - (-7s^6 sin(θ)) * s^3 cos(θ)
     = t^5 s^3 cos(θ) sin(θ) + 7s^9 cos(θ) sin(θ)
     = (t^5 + 7s^9) cos(θ) sin(θ)
az/at = ∂a/∂t * ∂z/∂s - ∂z/∂t * ∂a/∂s
     = s^3 cos(θ) * (-7s^6 sin(θ)) - t^3 sin(θ) * 3t^2 cos(θ)
     = -7s^9 cos(θ) sin(θ) - 3t^5 cos(θ) sin(θ)
     = -(7s^9 + 3t^5) cos(θ) sin(θ)
Therefore, az/as = (t^5 + 7s^9) cos(θ) sin(θ) and az/at = -(7s^9 + 3t^5) cos(θ) sin(θ).

To find az/as and az/at using the Chain Rule, we can follow these steps:
1. Identify the given equations:
az/as = t^³ cos(θ) cos(θ) - 7s^6 sin(θ) sin(θ)
az/at = 3st^2 (cos(θ) cos(θ)) - s^7 (sin(θ) sin(θ))
2. Apply the Chain Rule to find az/as:
The given equation for az/as is already provided:
az/as = t^³ cos(θ) cos(θ) - 7s^6 sin(θ) sin(θ)
3. Apply the Chain Rule to find az/at:
The given equation for az/at is already provided:
az/at = 3st^2 (cos(θ) cos(θ)) - s^7 (sin(θ) sin(θ))
So, using the Chain Rule, we have found az/as and az/at as follows:
az/as = t^³ cos(θ) cos(θ) - 7s^6 sin(θ) sin(θ)
az/at = 3st^2 (cos(θ) cos(θ)) - s^7 (sin(θ) sin(θ))

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An estimate for the number of batters in the league who will have a batting average of at least 0.400 is approximately 0.7.

We can use the standard normal distribution to find the expected number of batters with an average of at least 0.400.

First, we calculate the z-score for a batting average of 0.400:

z = (0.400 - 0.260) / 0.05 = 2.8

Using a standard normal distribution table or calculator, we can find the probability of getting a z-score of 2.8 or higher:

P(Z ≥ 2.8) ≈ 0.0026

This means that the probability of a batter having an average of at least 0.400 is about 0.0026.

To find the expected number of batters with an average of at least 0.400, we can multiply this probability by the total number of batters:

Expected number of batters = 0.0026 * 270 ≈ 0.7

Therefore, we can expect that about 0.7 batters in the league will have a batting average of at least 0.400.

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To determine the number of sets of five marbles that include either the lavender one or exactly one yellow one but not both colors, we will consider two scenarios: one with the lavender marble and one with a single yellow marble.

1. Lavender marble scenario: If a set includes the lavender marble, there are 4 more marbles to choose. Assuming there are n-1 marbles remaining (excluding the lavender and yellow marbles), we can select 4 marbles out of (n-1) using the combination formula: C(n-1, 4).

2. Single yellow marble scenario: If a set has exactly one yellow marble, let's assume there are y yellow marbles (excluding the lavender marble). We can choose 1 yellow marble in C(y, 1) ways. Then, we need to choose 3 more marbles out of the remaining n-2 (excluding the lavender and the chosen yellow marble) in C(n-2, 3) ways. So, the total number of ways in this scenario is C(y, 1) * C(n-2, 3).

Combining both scenarios, the total number of sets is C(n-1, 4) + C(y, 1) * C(n-2, 3). This expression gives the number of sets of five marbles that include either the lavender one or exactly one yellow one but not both colors.

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We can say with 90% confidence that the true mean pH level of the population lies between 4.293 and 4.507.

To find the 90% confidence interval estimate for the mean pH level, we need to use the following formula:

Confidence interval = sample mean ± margin of error

The margin of error depends on the level of confidence, the sample size, and the standard deviation. We can use a t-distribution to calculate the margin of error since the sample size is less than 30.

First, we need to find the t-value for a 90% confidence interval with 48 degrees of freedom (n - 1):

t-value = t(0.05, 48) = 1.677

where t(0.05, 48) is the t-value for a two-tailed test at the 0.05 level of significance with 48 degrees of freedom.

Next, we can calculate the margin of error:

Margin of error = t-value × (standard deviation / square root of sample size)

Margin of error = 1.677 × (0.35 / sqrt(49)) = 0.107

Finally, we can calculate the confidence interval:

Confidence interval = sample mean ± margin of error

Confidence interval = 4.4 ± 0.107

Confidence interval = (4.293, 4.507)

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We can say that 219 respondents believed that growth in Utah Valley had deteriorated the quality of life.

Percentage, which represents a proportion of the total sample size. To be more specific, it indicates that 54% out of the 405 Utah County residents surveyed believed that growth in Utah Valley had deteriorated the quality of life.

To calculate the actual number of respondents who held this view, we can multiply the percentage by the total sample size:

54% x 405 = 218.7

Rounding up to the nearest whole number, we can say that 219 respondents believed that growth in Utah Valley had deteriorated the quality of life.

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It will cost $396 to place fencing around the garden.

You have a rectangular garden that is 13 feet long and 20 feet wide. To find the cost of placing fencing around the garden, we first need to determine the total length of fencing required.

For a rectangle, the perimeter (P) can be found using the formula P = 2(L + W), where L is the length and W is the width. In this case, L = 13 feet and W = 20 feet. Plugging these values into the formula, we get:

P = 2(13 + 20) = 2(33) = 66 feet

Now that we know the perimeter, we can calculate the total cost of the fencing. Since the fencing costs $6 per foot, we simply multiply the total length of fencing needed (66 feet) by the cost per foot:

Total cost = 66 feet * $6/foot = $396

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The best measure of variability for the data is standard deviation and player B is more consistent with IQR of 1.5

What is Standard Deviation?

The standard deviation refers to a measurement of the data dispersion from the mean. A low standard deviation implies that the data are grouped around the mean, whereas a large standard deviation shows that the data are more dispersed.

Standard Deviation is calculated by

Each number's deviation from the mean must be determined, and then squared.

Next, add up all of these values.

Divide the result by the quantity of numbers.

Then calculate its square root.

σ = √ ( 1/N ) ( ∑₁ⁿ ( x₁ - μ )²

Given data ,

Let the first table be represented as A

where A = { 2 , 1 , 3 , 8 , 2 , 1 , 4 , 3 , 1 }

Let the second table be represented as B

where B = { 2 , 3 , 1 , 3 , 2 , 2 , 1 , 3 , 6 }

And , mean of A = 25/9 = 2.778

And , mean of B = 23/9 = 2.5556

where the Standard Deviation of B = 1.5

Therefore , Player B is the most consistent, with an IQR of 1.5

Hence , player B is more consistent with IQR of 1.5

In order to determine if there is inconsistency, the data collected from the three instructors would need to be compared and analyzed. Without further information or analysis, it is difficult to determine if there is inconsistency in the grading.

To answer your question, we first need to analyze the data provided for the grade distribution of the three instructors. Unfortunately, you haven't provided any data in your question. However, I can guide you through the process of assessing consistency using the given terms: conducted, assess, and consistency.

Step 1: The university conducted a study on the grade distribution of a multi-section basic statistics course taught by three instructors.

Step 2: To assess consistency in grading, we need to compare the grade distributions of the three instructors. You can use a variety of statistical methods to make this comparison, such as descriptive statistics (e.g., mean, median, and standard deviation), visual representations (e.g., boxplots or histograms), or inferential statistics (e.g., ANOVA or chi-square tests).

Step 3: After analyzing the data, you can determine whether there is any inconsistency in grading among the three instructors. If the grade distributions are similar, it suggests consistency in grading. However, if the distributions differ significantly, it may indicate grading inconsistency.

Remember, to provide a specific answer, we would need the actual data on grade distribution for the three instructors. Once you have that data, you can follow the steps mentioned above to assess the consistency of grading in the course.

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The best measure of center for this data is the median, and its value is 3.

Option B is the correct answer.

We have,

From the line plot,

The median is the best measure of center for this type of data, as it is not affected by outliers.

To find the median, we need to arrange the data in order from least to greatest:

1, 1, 2, 2, 2, 3, 3, 3, 3, 4, 4, 5, 5, 5, 10

Since there are 15 data points,

The median is the middle value, which is 3.

Therefore,

The best measure of center for this data is the median, and its value is 3.

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The total distance they hiked is 2x + y + z = 2x + 24 - x = x + 24 miles.

Let's denote the distance they hiked on level ground, uphill, and downhill as x, y, and z, respectively. Since they turned around at some point, we know they hiked a total distance of x + y + z + x = 2x + y + z.

We can use the formula: time = distance/speed, to write the time they spent on each part of the hike as follows:

Time spent hiking on level ground = x / 4

Time spent hiking uphill = y / 3

Time spent hiking downhill = z / 6

Since they started at noon and arrived at 8:00 pm, we know they hiked for a total of 8 hours. Therefore, we can write the equation:

[tex]\frac{x}{4} + \frac{y}{3} + \frac{z}{6} + \frac{x}{4} + \frac{y}{3} + \frac{z}{6} = 8[/tex]

Simplifying this equation, we get:

x + y + z = 24

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Answer:

Option b

Step-by-step explanation:

Box plot method:

Step 1: Find the minimum. Minimum is the smallest data.

     Minimum = 5

Step 2: Find the maximum. Maximum is the largest data.

    Maximum = 15  

Step 3: Arrange the numbers in ascending order.

      5, 6, 8, 9, 9, 11, 11, 13, 15

      Median = middle term

                    = 9

Step 4: Find the first quartile. First quartile is the median of the data to the left of the median.

     Data left to the median are 5, 6, 8, 9.

       Q1 = (6+8) ÷ 2

            = 14 ÷ 2

            = 7

Step 5: Find the second quartile. Second quartile is the median of the data to the right of the median.

     Data left to the median are 11, 11, 13, 15.

       Q12 = (11+13) ÷ 2

            = 24 ÷ 2

            = 12

Answer:   Min = 5

                  Q1 = 7

          Median = 9

                 Q2 = 12

               Max = 15

Answer:

21 ÷ 14 = 1.5

8 × 1.5 = 12

The other sides of the new triangle will be 12 cm.

Answer: B

Step-by-step explanation:

Process of elimination...

anything positive is automatically greater than any negative, so that rules out A and C.

D is the tricky one. Remember, smaller portions of a whole are greater than larger portions. Think of it this way, if you cut two candy bars into pieces; one into thirds and one into fourths. One third would be greater than one fourth. So, 11 thirds would also be greater than 11 fourths.

The bisection method involves repeatedly halving the interval until a root is found. After each iteration, the interval is divided in half, so the length of the interval is halved as well.

After 4 iterations, the length of the initial interval will be halved four times, resulting in an interval of length (b-a)/2^4, where a is the left endpoint and b is the right endpoint. Therefore, the length of the interval after 4 iterations of bisection is (b-a)/16.


The bisection method is used to find a root of a function by repeatedly dividing the interval in half. In each iteration, the interval's length is halved. So, after 4 iterations, the interval's length will be halved 4 times.

Let L be the initial length of the interval, which is the difference between the right and left endpoints:

L = right - left

After 1 iteration, the length becomes L/2.
After 2 iterations, the length becomes L/4.
After 3 iterations, the length becomes L/8.
After 4 iterations, the length becomes L/16.

So, the length of the interval after 4 iterations of bisection is L/16.

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People paid $1 to lie about a study's fun level and believed it was more enjoyable, possibly due to cognitive dissonance. When paid $20, participants maintained their true opinion.

Given that,

People who were offered $1 to inflate the degree of fun in a study claimed that it was more fun.

In contrast, people who paid $20 to lie did not experience the same effect.

This phenomenon could be linked to cognitive dissonance.

When people are paid only $1 to lie about the enjoyment of a study,

They might experience a sense of internal conflict or discomfort.

To alleviate this discomfort, they might subconsciously convince themselves that the study was actually fun, aligning their attitudes with their behaviour.

On the other hand,

if they were paid $20 to lie, their higher payment might create a stronger motivation to maintain their true opinion.

In this case,

They would be less likely to justify their behaviour by convincing themselves that the study was enjoyable.

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Answer: 50.24 in3

Step-by-step explanation:

The volume of a cone can be calculated using the formula V = (1/3)πr^2h, where r is the radius of the base and h is the height of the cone.

From the given information, we know that the diameter of the base of the cone is 8 inches, so the radius is 4 inches.

We also know that the height is twice the radius, so h = 2r = 8 inches.

Substituting these values into the formula, we get:

V = (1/3)π(4 in)^2(8 in) = (1/3)π(16 in^2)(8 in) = 50.24 in^3.

Therefore, the volume of the cone is 50.24 in^3, which corresponds to option 2.

If these conditions are met, then a z-test can be used to test the hypothesis about a population proportion. If these conditions are not met, then other tests, such as the chi-square test, may need to be used instead.

To use z procedures in a significance test about a population proportion, the following conditions must be met:

Random Sample: The sample should be selected randomly from the population of interest to ensure that the sample is representative of the population.

Large Sample Size: The sample size should be large enough so that the sampling distribution of the sample proportion can be approximated by a normal distribution. A general rule of thumb is that the sample size should be at least 10 times larger than the expected number of successes and failures.

Independent Samples: Each observation in the sample should be independent of all other observations, which means that the sample should be drawn without replacement or with replacement if the population is sufficiently large.

Binomial Distribution: The population should be binomially distributed, which means that there are only two possible outcomes for each observation, such as success or failure.

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The probability of exactly 12 from 39 college students majoring in STEM is [tex]0.1776[/tex]

To find the probability of exactly 12 out of 39 college students majoring in STEM, we can use the binomial probability formula.

The formula is P(X=k) = (n choose k) * p^k * (1-p)^(n-k).

Data;

n = 39, k = 12, p = 0.26, and (n choose k) = 39 choose 12 = 3,720.

Plugging in the values:

P(X=12) = 3,720 * 0.26^12 * 0.74^27

P(X=12) ≈ 0.1776

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