A store uses a 60% markup rate to sell items to its customers. If one item costs 12$ how much money the store will make on that item. And what is the selling of that item.

Recovering the human remains from the Branch Davidian Compound was difficult because they were encased in , Building materials, Expended and live ammunition and Food storage items , the correct option is (d) .

In the article by Ubelaker and colleagues, the difficulty in recovering human remains from the Branch Davidian Compound was due factors, including being encased in building materials, being exposed to live and expended ammunition, and stored alongside food storage items.

⇒ The building materials, such as concrete and steel, made it challenging to access and remove the remains.

⇒ The use of Expended and live ammunition during the standoff resulted in bullets and shell casings being embedded in the remains, making identification and recovery more complicated.

⇒ The storage of the remains in areas also used for food storage further complicated the situation, as it increased the risk of contamination and made it more difficult to differentiate between human and non-human remains.

Therefore , the correct option is (d) All of the options.

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The given question is incomplete , the complete question is

In the article we read by Ubelaker and colleagues, recovering the human remains from the Branch Davidian Compound was difficult because they were encased in :

(a) Building materials

(b) Expended and live ammunition

(c) Food storage items

(d) All of the options

Answer:

54 Words Per Minute

Hope I helped!

We have the following:

solving for x:

The answer is:

Answer:

- Yes, They agree

Step-by-step explanation:

Do Rachel and Dylan argree?

- Yes, They agree

Prove your answer using the values of the ratio.

100 of your friends listen to it

- Total Number = 100

Rachel said the ratio of the number of the people who liked the playlist to the number of people who did not like the playlist is 75:25.

The ratio can be simplifies further by diving all through by 25;

75/25  : 25/25

3 : 1

Dylan said that for every three people who liked the playlist, one person did not.

This simplifies to 3 : 1.

Same thing with what rachel said, so they both agree

Double-check the input and review the solution provided by the matrix calculator to ensure accuracy.

The matrix calculator is a useful tool for solving equations involving matrices. To find the values of the variables in the matrix calculator, follow these steps:

1. Enter the coefficients of the variables and the constant terms into the calculator. For example, if you have the equation 2x + 3y = 10, enter the coefficients 2 and 3, and the constant term 10.

2. Select the appropriate operations for solving the equation. The calculator will provide options such as Gaussian elimination, inverse matrix, or Cramer's rule. Choose the method that suits your equation.

3. Perform the selected operation to solve the equation. The calculator will display the values of the variables based on the solution method. For instance, Gaussian elimination will show the values of x and y.

4. Check the solution for consistency. Substitute the obtained values back into the original equation to ensure they satisfy the equation. If they do, you have found the correct values of the variables.Remember to double-check the input and review the solution provided by the matrix calculator to ensure accuracy.

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Step-by-step explanation:

2x+4(3x-13)=4

2x+12x-52=4

14x=4-52

14x=-48

x= -48/14

I think I went wrong somewhere ,so could someone please check

The length of the side is 5/3 meters when the area is 225/81 square meters.

To determine the length of the side when the area is given as 225/81 square meters, we can use the formula for the area of a square:

Area = side^2

Given that the area is 225/81 square meters, we can set up the equation as follows:

225/81 = side^2

To find the length of the side, we need to solve for side. The square root of each side of the equation can be used as a starting point:

√(225/81) = √(side^2)

Simplifying,

15/9 = side

By dividing the numerator and denominator by their greatest common divisor, which is three, we may further reduce the fraction:

15/9 = (15/3) / (9/3) = 5/3

Therefore, the length of the side is 5/3 meters when the area is 225/81 square meters.

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The length of the corresponding side of the larger polygon is 5/4.

What is polygon?

A polygon is a two-dimensional shape that is formed by connecting a sequence of straight lines (called sides or edges) end-to-end to form a closed loop. The term "poly" means "many," and "gon" means "angle," so a polygon literally means "many angles."

Polygons can have any number of sides, from three (a triangle) to infinity. The most common polygons are the quadrilateral (four sides), pentagon (five sides), hexagon (six sides), heptagon (seven sides), octagon (eight sides), nonagon (nine sides), and decagon (ten sides).

Let's assume that the smaller polygon has n sides and the larger polygon has m sides. Since the polygons are similar, their corresponding sides are proportional. Therefore, we can set up the following proportion:

n/m = 4/x

where x is the length of the corresponding side of the larger polygon.

We also know that the perimeter of the smaller polygon is 20, so each of its sides has length 20/n. Similarly, the perimeter of the larger polygon is 28, so each of its sides has length 28/m.

Since the polygons are similar, their corresponding sides are proportional, so we can set up another proportion:

(20/n) / (28/m) = 4/x

Simplifying this expression, we get:

20m = 28nx

Dividing both sides by 4, we get:

5m = 7nx

Substituting n/m = 4/x, we get:

5m = 28x

Solving for x, we get:

x = (5m)/28

Now, we need to find the value of m. The perimeter of the smaller polygon is 20, so the sum of its sides is 20. Since each side has length 20/n, we can write:

20 = (20/n)*n

Simplifying, we get:

n = 4

The perimeter of the larger polygon is 28, so the sum of its sides is 28. Since each side has length 28/m, we can write:

28 = (28/m)*m

Simplifying, we get:

m = 7

Now, we can substitute the value of m into the expression for x that we derived earlier:

x = (5m)/28 = (5*7)/28 = 5/4

Therefore, the length of the corresponding side of the larger polygon is 5/4.

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200 $ 250 earbuds and 50 $ 400 earbuds should be stocked.

Given that a retailer plans to sell two models of earbuds at costs of $ 250 and $ 400, and the $ 250 model yields a profit of $ 45 and the $ 400 model yields a profit of $ 50, and the retailer estimates that the total monthly demand will not exceed 250 units, to find the number of units each model that should be stocked in order to maximize profit, given that the retailer is not investing more than $ 70,000 in inventory, the following calculation should be performed:

Therefore, 200 $ 250 earbuds and 50 $ 400 earbuds should be stocked.

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The correct option is option (C) .

Cluster Sampling is a type of probability sampling and other options are non- probability sampling examples .

Sampling :

Sampling is defined as a technique that selects individual members or subsets from a population to help determine characteristics of the population as a whole.

Croach and Housden postulate that a sample is a finite number taken from a large group for testing and analysis, and that the sample can be taken as representative of the group as a whole.

There are two main types of sampling:

i) probability sampling

ii) Non-probability sampling

A) probability sampling:

It is defined as the sampling technique which researchers use a related method to draw probability theory samples from a larger population.

The most important requirement for probabilistic sampling is that everyone in the population has a known equal chance of being selected.

Probability Samples:

1. Stratified Sampling: Stratified sampling is a type of sampling technique that divides the total population into smaller groups or strata to complete the sampling process. Hierarchies are formed based on some common characteristics of demographic data.

2. Cluster Sampling: Cluster sampling is a probabilistic sampling technique in which researchers divide a population into multiple groups (clusters) for research purposes. Researchers then select random groups using simple sampling techniques for data collection and data analysis.

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Answer:

D.) x = –8 or x = 8

Step-by-step explanation:

After the hole is cut, 248  square feet of blue feet of blue surface remain.

What is the surface area of the given cube?

The formula for surface area is equal to six times of square of the length of the sides of the cube. It is represented by 6a², where a is the side length of the cube. It is basically the total surface area.

We have given,

the cube of side length 6 ft,

the shape of a 2-by-4-by-6-foot rectangular prism is cut out of the cube,

to find: After the hole is cut, how many square feet of blue feet of blue surface remain?

area of an original cube is:

= 8 * 6 * 6

= 288 ft²

the area of the cube, after the hole, is cut.

remaining area = original cube area - 2 * 4 *4

= 288 -  32 ft²

= 248 ft²

Hence, After the hole is cut, 248  square feet of blue feet of blue surface remain.

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Hypothesis testing is a procedure based on sample evidence and probability theory to determine whether the hypothesis is a reasonable statement. The statement is true.

Yes, that is correct. Hypothesis testing involves collecting sample evidence and using probability theory to analyze the likelihood of the hypothesis being true. The process involves setting up a null hypothesis, which is the statement being tested, and an alternative hypothesis. The sample evidence is then gathered and analyzed using statistical tests to determine the probability of observing the results if the null hypothesis were true. If the probability is sufficiently low, the null hypothesis is rejected in favour of the alternative hypothesis. The use of probability theory in hypothesis testing allows for a more objective and rigorous approach to drawing conclusions from data.

The complete question is:-

Hypothesis testing is a procedure based on sample evidence and probability theory to determine whether the hypothesis is a reasonable statement. True/False

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To determine the probability that it would be more than 30 minutes before the next person is admitted to the hospital, we would need information about the admission process, such as the average rate of admissions or the distribution of inter-admission times.

However, if we assume that the time between admissions follows a continuous random distribution and is independent of the previous admission time, we can make some general assumptions.

Let's assume the time between admissions follows an exponential distribution with a mean of λ (lambda). The exponential distribution is commonly used to model the time between events that occur randomly and independently over time.

In this case, the probability that it would be more than 30 minutes before the next person is admitted can be calculated as the complement of the cumulative distribution function (CDF) of the exponential distribution at 30 minutes.

P(Time > 30 minutes) = 1 - CDF(30 minutes).

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Answer:

85 points per minute

Step-by-step explanation:

the points earned per minute is calculated as

\(\frac{y_{2}-y_{1} }{x_{2}-x_{1} }\)

with (x₂, y₂) = (200, 17007) and (x₁, y₁ ) = (100,8507) ← 2 ordered pairs from table

points earned per minute = \(\frac{17007-8507}{200-100}\) = \(\frac{8500}{100}\) = 85

The formula for a confidence interval for a population proportion, p is;Upper bound: $$\hat{p} + z_{\alpha/2}\sqrt{\frac{\hat{p}(1-\hat{p})}{n}}$$Lower bound: $$\hat{p} - z_{\alpha/2}\sqrt{\frac{\hat{p}(1-\hat{p})}{n}}$$Where;$$\hat{p} = \frac{x}{n}$$Where; $x$ is the number of success and $n$ is the sample size.

Therefore, if $$\hat{p} = \frac{x}{n}$$Hence, $$\hat{p} = \frac{195}{195+162} = 0.546$$And, $$n = 195 + 162 = 357$$The value of $z_{\alpha/2}$ for 90% confidence is 1.645 (refer the table below).z1-a2α/2 0.0050.0100.0250.050.10.20.50.1 0.00 1.96 1.645 1.282 1.645 1.645 1.282 1.645 1.282 The confidence interval for the population proportion p is;Upper bound: $$\hat{p} + z_{\alpha/2}\sqrt{\frac{\hat{p}(1-\hat{p})}{n}}$$$$= 0.546 + 1.645\sqrt{\frac{0.546(1-0.546)}{357}}$$$$= 0.546 + 0.062$$$$= 0.608$$Lower bound:$$\hat{p} - z_{\alpha/2}\sqrt{\frac{\hat{p}(1-\hat{p})}{n}}$$$$= 0.546 - 1.645\sqrt{\frac{0.546(1-0.546)}{357}}$$$$= 0.546 - 0.062$$$$= 0.484$$

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The mean for the number of twos when a die is rolled 9 times is 1.5.

When a fair six-sided die is rolled, each outcome has an equal probability of occurring. The probability of rolling a two on a single roll is 1/6. Since the rolls are independent, the number of twos that appear on the upper face in 9 rolls follows a binomial distribution with parameters n = 9 (number of trials) and p = 1/6 (probability of success).

The mean of a binomial distribution is given by the product of the number of trials and the probability of success. In this case, the mean for the number of twos is calculated as 9 * (1/6) = 1.5.

Therefore, the answer is option D) 1.5, which represents the mean for the number of twos when the experiment of rolling a die 9 times is repeated many times.

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The null hypothesis (H₀) is typically that the population mean is equal to a certain value. However, you haven't specified a null hypothesis in your question. Please provide the null hypothesis so that I can assist you further in determining the decision rule.

To determine the decision rule for rejecting the null hypothesis, we need to establish the critical value(s) or the rejection region based on the level of significance.

Given:

Sample size (n) = 18

Sample mean (x(bar)) = 5.6 pounds/square inch

Standard deviation (σ) = 0.8

Level of significance (α) = 0.01

Since the population distribution is assumed to be approximately normal, we can use the Z-test.

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Answer: 10/12 0r 5/6

Step-by-step explanation:

the slope is 5/3

hope this can help !! :)

Using the distance formula, the length of bc is found to be 2a, while the length of de simplifies to a. Therefore, bc is twice de, proving that de is half the length of bc.


The distance formula calculates the distance between two points in a Cartesian coordinate system. By applying this formula to the points involved in the problem, we can determine the lengths of bc and de. Using the coordinates given, we find that the length of bc is equal to 2a.

By substituting the coordinates of points d and e into the distance formula, we find that the length of de simplifies to a. Comparing the two lengths, we see that bc is twice the length of de, demonstrating that de is half the length of bc. This proof relies on the properties of midpoints, which divide a line segment into two equal parts, leading to the proportional relationship between bc and de.

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Final answer:

The standard deviation from the method A is 2.87

The standard deviation from the method B is 1.35

The standard deviation from the method C is 0.42

The standard deviation from the method D is 0.75

The standard deviation reveals the degree of data skewedness. It gauges how far away from the mean each observed value is. Approximately 95% of values in any distribution will be within two standard deviations of the mean.

The statistical concept of standard deviation is used to quantify the variability or dispersion around an average. It is a measure of volatility technically. The discrepancy between the actual and average value is known as the dispersion. The standard deviation increases as the variability or dispersion increases.

A low standard deviation indicates that the data are tightly grouped around the mean, while a high standard deviation indicates that the data are widely dispersed (less dependable) (more reliable)

Explanation:

The highest standard deviation is found in procedure A. Given that it is not based on any actual measurements and is subject to wildly different subjective judgment, one would anticipate that it would be the largest.

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The data set with seven data values such that the mean and the median are both 84, the range is 23, and the interquartile range is 12 are as follows:

72.5, 78, 83, 84, 85, 90, 95.5.

The question ask us to invent a data set with seven data values such that the mean and the median are both 84, the range is 23, and the interquartile range is 12.

The mean is the average of a set of number.

The median is the middle number of set of numbers.

The range is the largest number minus the smallest number.

The interquartile range is Q₃ - Q₁.

Therefore, the numbers are 72.5, 78, 83, 84, 85, 90, 95.5.

Hence,

mean = 72.5 + 78 + 83 + 84 + 85 + 90 + 95.5 / 7

mean = 84

median = 84

range = 95.5 - 72.5 = 23

Interquartile range = 90 - 78 = 12

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Answer:

Welp, good luck the answer is c

Step-by-step explanation:

To test a trading rule for statistically and economically significant alpha, follow these steps: gather data, formulate a hypothesis, measure performance, conduct statistical tests, assess economic significance, and perform robustness testing.


To determine if a trading rule generates a statistically and economically significant alpha, several steps can be followed. Alpha refers to the excess return generated by a trading strategy beyond what would be expected from market movements. Here's a summary of the testing process:

To test a trading rule's alpha, you can follow these steps:

1. Data Preparation: Gather historical price data for the assets being traded and any relevant market indices. Ensure the data is clean, consistent, and properly adjusted for dividends and corporate actions.

2. Hypothesis Formulation: Clearly define the trading rule being tested, specifying the entry and exit criteria. Formulate a null hypothesis assuming no alpha exists and an alternative hypothesis suggesting the presence of statistically and economically significant alpha.

3. Performance Measurement: Apply the trading rule to the historical price data and calculate the strategy's performance metrics, including returns, volatility, and risk-adjusted measures like the Sharpe ratio or information ratio.

4. Statistical Significance: Conduct hypothesis testing using appropriate statistical methods such as t-tests or regression analysis to determine if the strategy's excess returns are statistically significant. This helps assess whether the alpha is due to skill or randomness.

5. Economic Significance: Evaluate the economic significance of the alpha by considering transaction costs, liquidity constraints, and realistic trading scenarios. Adjust the returns for these factors to assess if the strategy generates meaningful profits after accounting for expenses.

6. Robustness Testing: Perform sensitivity analysis by varying key parameters of the trading rule and assessing the stability and consistency of the alpha. This helps determine if the strategy's performance is robust across different market conditions and time periods.

By following these steps, you can systematically evaluate a trading rule's alpha generation potential. Remember, it's important to consider statistical significance, economic significance, and robustness to draw meaningful conclusions about a trading strategy's effectiveness.

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Answer: Number of hot dogs sold = 65

number of soda sold = 116.

Step-by-step explanation:

Let the number of hot dogs sold be represented by x.

Since the number of hot dogs sold was 51 less than the number of sodas sold, then the number of soda sold will be: = x + 51

Since the addition of both hot dogs and soda equals 181, we can form this into an equation which will be:

= x + (x + 51) = 181

x + x + 51 = 181

2x + 51 = 181

2x = 181 - 51

2x = 130

x = 130/2

x = 65

Number of hot dogs sold = 65

Since number of soda sold equals:

= x + 51

= 65 + 51

= 116

Therefore, number of soda sold is 116.

Answer:

\( \frac{8 {x}^{2} y}{6 {x}^{2} {y}^{2} } \\ = \frac{8×3}{6 {y}^{2} } \\ = \frac{24}{6 \times {3}^{2} } \\ = \frac{4}{9} \)