You are backpacking through Europe. You have 30 days until your flight home, but you have spent all
have found a hotel that is willing to accept one link per night for payment of room and board. However,
the manager
that they want one gold link in payment for every link they cut. How many links will you have when
you call home?

Answer:

x = 6

Step-by-step explanation:

Coach ticket = $180

first class ticket = $1020

people = 8

Let x be number of coach tickets

Then number of first class tickets = (8 - x)

x * 180 + (8 - x) * 1020 = 3120

180 X + 8 * 1020 - 1020 x = 3120

180 x + 8160 - 1020 x = 3120

180 x - 1020 x = 3120 -8160

- 840 x = - 5040

840 x = 5040

x = 6

So 6 coach class tickets and 2 first class tickets

Answer:

She bought 8 coach tickets

And 5 first class tickets

Step-by-step explanation:

390 x 8 = 3,120

1000 x 5 = 5,000

3,120 + 5,000 = 8,120

Answer:

5.20

Step-by-step explanation:

48 / 9.23 = 5.20043336945

rounded to tenth is 5.20

Hope This Helped

Answer:5.20

Step-by-step explanation:

48 / 9.23 = 5.20

According to the question Joe's hypothesis can be stated as follows H0: μ ≤ 568 (Null hypothesis) , H1: μ > 568 (Alternative hypothesis)

Joe's hypothesis can be stated as follows H0: The population mean (μ) of the elite school students is less than or equal to 568. H1: The population mean (μ) of the elite school students is greater than 568.To test this hypothesis, Joe would typically collect a sample from the elite school students and calculate the sample mean.

He can then compare this sample mean to the hypothesized population mean of 568. If the sample mean is significantly higher than 568, Joe would have evidence to support his hypothesis that the elite school students score higher than the general population.

To make a conclusive decision, Joe would perform a statistical test, such as a t-test or z-test, and calculate the p-value associated with the observed sample mean. If the p-value is below a predetermined significance level (e.g., 0.05), Joe can reject the null hypothesis and conclude that the elite school students score higher than the general population.

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2 4/6 + 1 5/6 = (2+1) + (4/6 + 5/6) = 3 + 9/6 = 3 + 3/2 = 4 1/2

3 4/6 + 5/6 = 3 + (4/6 + 5/6) = 3 + 9/6 = 3 + 3/2 = 4 1/2

Therefore, 2 4/6 + 1 5/6 = 3 4/6 + 5/6 = 4 1/2.

Answer: 15 - 6i

Step-by-step explanation:

3(5-2i)

3×5+3×(−2i)

Do the multiplications.

15−6i

The standard deviation of the monthly amount charged is 346.41

Step 1: Identify the values of a and b, where [a , b] is the interval over which the continuous uniform distribution is defined.

Since it takes between 300 and 1500 minutes to be seated at the restaurant, we have:

a = 300

b = 1500

Step 2: Calculate the variance using the formula Var(x) = \(\frac{(b-a)^{2} }{12}\)

Using the formula for the variance and the values identified in step 1

(a = 300 , b = 1500), we have:

Var(x) = \(\frac{(b-a)^{2} }{12}\)

         = \(\frac{(1500 - 300)^{2} }{12}\)

         = 1440000/12

         = 120,000

the variance is 120,000

Step 3: Calculate the standard deviation by taking the square root of the variance. σ = \(\sqrt{Var(x)}\)

The standard deviation is the square root of the result from step 2 (variance = 120,000)

σ = \(\sqrt{Var(x)}\)

σ = \(\sqrt{120000}\)

   = 346.41

The standard deviation of the monthly amount charged is 346.41

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The probability of having 90 or more wins in the next three hours of playing is 0.0506 or 5.06% (approx).

We are required to find the probability of having 90 or more wins in the next three hours of playing a mobile phone game similar to Pokémon, given that the number of successive win follows a Poisson distribution with a mean of 27 wins per hour.

The given mean of Poisson distribution is λ = 27.

The Poisson distribution formula is:P(X = x) = (e^-λ λ^x) / x!

We need to calculate the probability of having 90 or more wins in 3 hours.

We can combine these three hours and treat them as one large interval, for which λ will be λ1 + λ2 + λ3= (27 wins/hour) * 3 hours= 81 wins.

P(X ≥ 90) = 1 - P(X < 90)

To calculate P(X < 90), we can use the Poisson distribution formula with λ = 81.P(X < 90) = Σ (e^-81 * 81^k) / k!, k = 0, 1, 2, ....89= 0.9494

Using the above formula and values, we get P(X ≥ 90) = 1 - P(X < 90)= 1 - 0.9494= 0.0506

Therefore, the probability of having 90 or more wins in the next three hours of playing is 0.0506 or 5.06% (approx).

Hence, the probability of having 90 or more wins in the next three hours of playing is 0.0506 or 5.06% (approx).

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To determine the next number in a geometric sequence, we need to understand how geometric progression works. A geometric progression is a sequence of numbers where each term is found by multiplying the previous term by a constant number called the common ratio. In other words, each term is a multiple of the one before it.

For example, if we have a geometric sequence starting with the number 2 and a common ratio of 3, the sequence would be:

2, 6, 18, 54, ...

To find the next number in this sequence, we would multiply the last term (54) by the common ratio (3) to get:

54 x 3 = 162

So the next number in the sequence would be 162.

The method to find the next number is the same: simply multiply the last term in the sequence by the common ratio to get the next term.

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i like your eyes they sparkle like the night sky even though you left me and stabbed me in the heart after i worshipped the ground you walked on ,

The range of (uºv)(x) can be represented in interval notation as: \(\mathbf{(-\infty,3)}\)

In a function, the range is the set of all valid values of y and this can be better determined from the graphical representation of the given function.

Here, we are given:

u(x) = -2x² +3

v(x) = 1/x

To find (uºv)(x) which can be written as u(v(x)), we need to input all the values of v(x) into where we find the variable x in u(x), by doing so, we have:

u(1/x) = -2(1/x)² +3

u(1/x) = -2/x² +3

Now, the range of u(1/x) which is the set of all valid values of y can be represented in interval notation as: \(\mathbf{(-\infty,3)}\)

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The given equation is Y = IOe' * (I) 10 (3) 27 (2) 18 (4) 52. We have to find the y-intercept of the given function.

The y-intercept is the point where the graph of the function intersects the y-axis. When a point lies on the y-axis, the x-coordinate of that point is 0. Therefore, to find the y-intercept of the function, we need to set x = 0 in the given equation. Thus,Y = IOe' *

To find the y-intercept of a function, we need to substitute 0 for the x-coordinate in the equation. The value we get as a result of the substitution is the y-intercept. In the given equation, the value of y, when x is 0, is IO. Therefore, the y-intercept of the function is IO. The given function Y = IOe' * (I) 10 (3) 27 (2) 18 (4) 52 is an exponential function. An exponential function is of the form y = ab^x, where a and b are constants and b is a positive number greater than 1. Exponential functions can be used to model growth and decay processes. In the given function, the base is e, which is approximately equal to 2.718. Therefore, the function is of the form y = ab^x, where a = IO and b = e. The y-intercept of the function is IO.

The y-intercept of the function Y = IOe' * (I) 10 (3) 27 (2) 18 (4) 52 is IO.

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Answer:

203

Step-by-step explanation:

17*7=119

12*7=84

84+119=203

The standard deviation of the number of residents in the sample who were born in Colorado is 7.82

Standard deviation:

The measure which shows how much variation (such as spread, dispersion, spread,) from the mean exists is know as standard deviation.

Given,

According to 2015 census data, 42.7 percent of Colorado residents were born in Colorado. if a sample of 250 Colorado residents is selected at random.

Here we need to find the standard deviation of the number of residents in the sample who were born in Colorado.

Here we know that following details,

Number of sample = 250

Estimated proportion for residents born in Colorado = 42.7% which is equal to = 0.427.

Let us consider X be the random variable of interest (number of residents in the sample), on this case we now that:  

X ~ (n = 250, p = 0.427)

Now, according to the probability mass function for the Binomial distribution is given as:  

E(X) = n x p = 250 x 0.427 = 106. 75.

Now, the standard deviation for the random variable is given by:

SD = √106.75 (1 - 0.427)

SD = √106.75(0.563)

SD = 7.82

Therefore, the standard deviation is 7.82.

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The largest share of national health expenditures is typically attributed to D. personal health care.

What is personal health care?

Personal health care refers to the direct provision of medical goods and services to individuals, including services such as hospital care, physician services, prescription drugs, and other medical supplies. These expenses typically make up the majority of national health expenditures in many countries, including the United States.

Examples of Personal Health Care Services: Personal health care expenditures include costs associated with hospital care (inpatient and outpatient), physician and specialist services, laboratory tests, prescription drugs, medical devices, home health care, nursing home care, and other healthcare services utilized by individuals.

Factors Contributing to Personal Health Care Expenses: Several factors contribute to the high share of national health expenditures attributed to personal health care. These include the increasing prevalence of chronic diseases, advances in medical technology, rising healthcare utilization, and an aging population requiring more healthcare services.

Private Health Insurance: While personal health care expenditures primarily refer to direct payments made by individuals or on their behalf, a significant portion of these costs is covered by private health insurance. Private insurance plans help individuals offset the financial burden of healthcare expenses by pooling risks and providing coverage for various medical services.

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Answer: y=-9/8x+7

Step-by-step explanation:

Answer:

\(y = \frac{ - 9}{8} x + 7\)

Step-by-step explanation:

Slope intercept form is

y=mx+b

(m) is slope

(b) is y intercept

The y intercept is where ethe line crosses the y axis [vertical axis]

The line crosses at (0, 7)so our b=7, now we need slope.

The formula for slope is (y₂-y₁)/(x₂-x₁),

which is the y of the second given point minus the y of the first given point divided by the x of the second given point over the x of the 1st given point.

(-2-7)/(8-0)

-9/8 is our slope

put our (m) and (b) into the formula

y=-9/8x+7

Hope this helps! If you have any questions on how I got my answer feel free to ask. Stay safe!

Answer:

15,20,25,30,35,40,45,50,60,etc

(i dont see any answer choices ..)

The insurance expense associated with the policy purchased by the firm on May 1, 2016, for 2016 is $2,400.

The insurance policy purchased by the firm on May 1, 2016, is for a period of one year. Since the full premium of $3,600 was paid in advance, the expense for 2016 will be the portion of the premium that relates to the current year.

To calculate the insurance expense for 2016, we need to determine the portion of the premium that applies to this year. Since the policy is for one year, we can allocate the premium equally to each month. Therefore, the monthly premium will be $3,600/12 = $300.

The firm purchased the insurance policy on May 1, which means that only eight months of coverage remain in 2016 (May to December). Therefore, the insurance expense for 2016 will be $300 x 8 = $2,400. This amount represents the portion of the premium that relates to the current year, and it will be recognized as an expense on the firm's income statement for 2016.

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The value of -175-15- (-204) is 14

We learn to add and subtract two or more integers or any other mathematical values using the two basic arithmetic operations of addition and subtraction. The plus sign (+) stands for addition, whereas the negative sign (-) stands for subtraction (minus sign). The opposite of addition is subtraction and vice versa.

The following are rules for addition and subtraction:

=>  \(+ \times + = +\)

=>  \(- \times - = +\)

=>  \(+ \times - = -\)

=>  \(- \times + = -\)  

Here we have

-175-15- (-204)

=> - 175 - 15 + 204

=>  - 190 + 204

=>  14

Therefore,

The value of -175-15- (-204) is 14

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The probability that the man would have done at least this well by chance, assuming he has no ESP is 0.182

To determine the probability that the man would have gotten at least 22 out of 30 correct by chance, we can use a binomial probability distribution, where:

n = 30 (the number of trials, or coin flips)

p = 0.5 (the probability of getting a correct guess by chance, assuming the coin is fair)

The probability of getting exactly 22 correct guesses by chance can be calculated as:

P(X = 22) = (30 choose 22) × 0.5^22 × 0.5^8 = 0.128

where (30 choose 22) is the number of ways to choose 22 correct guesses out of 30.

The probability of getting 22 or more correct guesses by chance can be calculated as:

P(X >= 22) = P(X = 22) + P(X = 23) + ... + P(X = 30)

This can be calculated using a binomial probability calculator, which gives:

P(X >= 22) = 0.182

Therefore, the probability is 0.182

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The given question is incomplete, the complete question is :

A man claims to have extrasensory perception (ESP). As a test, a fair coin is flipped 30 times, and the man is asked to predict the outcome in advance. He gets 22 out of 30 correct. What is the probability that he would have done at least this well if he had no ESP?

Answer:

Since we're dealing with absolute value we'll have two answers.

a= c/x-b/x

a= -c/x-b/x

Step-by-step explanation:

Since we can't combine any values inside the absolute value signs we get rid of the absolute value signs.

Now we have: ax+b=c

since we're trying to get a by itself, we subtract the b to get ax= c-b

Now we divide the x and since we can't directly put it with a single value on the right side, we have to put it with both the c and b. Now we have a=c/x-b/x.

For the second answer, you first put a negative with the c. ax+b= -c

Now you solve exactly the same way you did above.

Hope this helps! :)

Answer:

-17

Step-by-step explanation:

Answer:

swer:

Katia bought 60 jars with $45.

Solution:

From Question,  

Katia bought a package of 12 jars = $ 9.

So, we need to find that how many jars katia can buy with $45.  

12 jars bought for 9 so per 1 jar price can be calculated by dividing 12 by 9

= 1.33

So, 1 jar price is $1.33

From the Question, So for $45 the jar bought is calculated by multiplying price of one jar and 45

1.33  45 = 60.

Hence we can conclude 60 jars bought for $45 by katia for making crafts using glass jars.

Step-by-step explanation:

Answer:

y = -5/2x + 1

Step-by-step explanation:

y=mx+b

m is slope

b is y intercept

Answer:

(-2, 6)

(0,1)

(2,-4)

Step-by-step explanation:

It where the line meets the graph but like where the line meets equally together with other lines

formula (x,y)

Answer: X has to be greater than or equal to 15/7 for the inequality to be true.

Step-by-step explanation:

here are the steps to solve the inequality 25-2x≤5(2-x):

Start by simplifying the right side of the inequality: 5(2-x) = 10 - 5x

Now we can substitute this back into the original inequality: 25 - 2x ≤ 10 - 5x

Next, we need to combine like terms on both sides of the inequality: 25 - 7x ≤ 10

Now we'll add 7x to both sides: 25 ≤ 10 + 7x

Subtract 10 from both sides: 15 ≤ 7x

Finally, divide both sides by 7: 15/7 ≤ x

The solution set is x ≥ 15/7.

So x has to be greater than or equal to 15/7 for the inequality to be true.

Answer:

-5 ≥ x  or x ≤ -5

Step-by-step explanation:

25 - 2x ≤ 5(2 - x)

distribute the 5 to eliminate the parentheses:

25 - 2x ≤ 10 - 5x

now combine like terms:

15 - 2x ≤ -5x

15 ≤ -3x

-5 ≥ x  or x ≤ -5

the inequality symbol gets switched whenever you multiply or divide by a negative value

The simplification by combining like terms of -(3z -5) + z is -2z + 5.

According to the given question.

We have an expression -(3z -5) + z.

As we know that, like terms are terms whose variables (and their exponents such as the 2 in x2) are the same.  when we combine like terms, such as 2x and 3x, we add or subtract their coefficients.

Since, we have to combine the like terms of the given expression -(3z - 5)  +z.

Here -3z and z both are the like terms.

So, we subtract coeffcients of z to simplify the given expression.

Therefore, the simplification of the expression -(3z - 5)  +z is given by

-(3z - 5) + z

= -3z + 5 + z

= -3z + z + 5

= -2z + 5

Hence, the simplification by combining like terms of -(3z - 5) + z is -2z + 5.

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The econometric specification for a regression of Y and D using the pre-post method is: [ Y_{it} = \beta_0 + \beta_1D_{it} + \epsilon_{it} \]

Pooled Cross Section Data:

To estimate the pre-post method, we will use the data for individuals who have observations in both years, i.e., individuals for whom we have data in both year t (before) and year t+1 (after).

Assumed Counterfactual:

The assumed counterfactual in this model is that the outcome for each individual in year t+1, had they not enrolled in the program, would be the same as their outcome in year t.

Weaknesses of the Assumed Counterfactual:

The assumed counterfactual relies on the assumption that the outcome for each individual would remain constant from year t to year t+1 in the absence of program enrollment.

However, this assumption may not hold true if there are other factors that could affect the outcome. Unobserved time-varying factors or changes in individuals' circumstances over time can introduce biases and violate the assumption of a constant counterfactual.

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The econometric specification for a regression of Y and D using the pre-post method is given by:

Yi = β0 + β1Di + εi

In this econometric specification, Yi represents the outcome of interest for individual i. Di is a binary variable that indicates enrollment (1) or non-enrollment (0) of individual i in the program. β0 is the intercept term, β1 is the coefficient that captures the average treatment effect of the program on the outcome, and εi is the error term.

To estimate the pre-post method, we will use the pooled cross-section data for year t (before program implementation) and year t+1 (after program implementation). This means that we will have observations for both individuals who were enrolled in the program (Di = 1) and those who were not (Di = 0) before and after the program.

The pre-post method assumes that the difference in outcomes between the two time periods for individuals who were not enrolled in the program (Di = 0) represents the counterfactual or what would have happened to the treatment group (Di = 1) had they not been enrolled. This assumption is based on the idea that the only difference between the treatment and control groups is the enrollment in the program.

However, there are several weaknesses in the assumed counterfactual. First, there may be unobserved factors that differ between the treatment and control groups, which can bias the estimated treatment effect. Second, the pre-post method assumes that there are no time-varying confounders that change between the two time periods, which may not hold true in practice. Finally, the assumption of parallel trends between the treatment and control groups before program implementation is crucial for identifying the causal effect, but it can be difficult to verify.

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Answer:

\(\huge{\red{\angle ABC = \boxed{30}\degree}}\)

Step-by-step explanation:

In distributions that are skewed to the left, the mean is typically less than the median, which in turn is less than the mode.

This is because the left skewness pulls the tail towards the lower values, causing the mean to be dragged in that direction. The median, being the middle value, is less affected by extreme values and remains closer to the center.

The mode, representing the most frequently occurring value, is usually the highest point in the distribution and may not be impacted much by the skewness. Hence, the mean, median, and mode follow a decreasing order in left-skewed distributions.

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