describe the three component of NSTP?​

Answer:

If 2k - 4 = 12,  2k + 1= 11

Explanation:

2k - 4 = 12

2k=12+4

2k=16

k=8

plug k=8 into 2k + 1

2(8)+1= 11

-->2k+11 = 11

Answer:40-42 degrees

Explanation:

Using the Poisson distribution, it is found that the expected number of phone calls that pass through the switchboard in one minute is of 2.

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by:

\(P(X = x) = \frac{e^{-\mu}\mu^{x}}{(x)!}\)

The parameters are:

In this problem, the mean is equals to 2 phone calls per minute, hence this is the expected number.

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The correct statement comparing the total compensation for each employee is given as follows:

b. The total employment compensation for employee A is less than that of employee B.

The total compensation for each employee is calculated as the sum of the gross pay of the employee plus any add-ons, such as employee benefits and job expenses.

Thus, the total compensation for Employee A in this problem is given as follows:

57200 + 5300 + 800 = $63,300.

The total compensation for Employee B in this problem is given as follows:

56900 + 6200 + 1400 = $64,500.

Then the total compensation for employee B is greater, meaning that statement b is correct.

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Answer:

It's Kathmandu.

Answer:

\((-2, -16)\\\)

Explanation:

The vertex of a quadratic function which gets plotted as a parabola is either the minimum or maximum (x, y) value of that function.

The following rule applies to finding the x value of the vertex

\(\mathrm{The\:vertex\:of\:an\:up-down\:facing\:parabola\:of\:the\:form}\:\\y=ax^2+bx+c\:\mathrm{is}\:x_v=-\dfrac{b}{2a}\)

The equation is
\(y=x^2+4x-12\)

\(\textrm {Here }\\a = 1, b = 4, c= -12\\\\\)

\(So\; x_v, \textrm{ the x value of the vertex } = -\dfrac{4}{2\cdot \:1} = -2\\\\\textrm {Plug this value of x into the equation to find the y-value of the vertex}\\\)

\(y_v=\left(-2\right)^2+4\left(-2\right)-12\\\\\\y_v = 4 -8 - 12 = -16\\\\\)

\(\mathrm{Therefore\:the\:parabola\:vertex\:is}\\(-2, -16)\)

Answer:

Digital well being is a term used to describe the impact of technologies and digital services on people's mental, physical, social and emotional health.

Answer:

I would say maybe try to do something that can cancel out the noise or maybe trying to test ur brain to cancel out noise, But also fs trying to stay focus and only think about ur testing and thats it. but hope it goes good and always try ur best.

Explanation:

Answer:

The 95% confidence interval for the true mean breaking strength of all cables produced by the manufacturer is approximately 1680.9 pounds to 1719.1 pounds. The lower limit is 1680.9 pounds, and the upper limit is 1719.1 pounds.

To calculate the 95% confidence interval for the true mean breaking strength of all cables produced by the manufacturer, we can use the formula:

Confidence Interval = sample mean ± (critical value * standard deviation / √sample size)

The critical value corresponds to the desired level of confidence and the sample size. For a 95% confidence level and a sample size of 90, the critical value is approximately 1.96 (obtained from the standard normal distribution).

Substituting the given values into the formula, we have:

Confidence Interval = 1700 ± (1.96 * 92 / √90)

Calculating the values:

Confidence Interval = 1700 ± (1.96 * 92 / √90)

                  ≈ 1700 ± (1.96 * 92 / 9.4868)

                  ≈ 1700 ± 19.12

Rounding to one decimal place, we get:

Confidence Interval ≈ (1680.9, 1719.1)

Therefore, the 95% confidence interval for the true mean breaking strength of all cables produced by the manufacturer is approximately 1680.9 pounds to 1719.1 pounds. The lower limit is 1680.9 pounds, and the upper limit is 1719.1 pounds.

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Answer:

indonisia

Explanation:

Answer:

That would be Indonesia

Social media can be a powerful tool for advocating community support for a safe and healthy living environment. Its effectiveness can be evaluated based on the following criteria:

1. Reach and Accessibility: Social media platforms have a wide reach, allowing information and messages to be disseminated quickly and easily to a large audience. This accessibility enables community members to receive information about the importance of a safe and healthy living environment, including tips, resources, and initiatives.

2. Engagement and Interaction: Social media provides opportunities for community members to engage and interact with advocacy campaigns. Users can comment, share, and like posts, allowing for a two-way communication flow. This engagement helps raise awareness, encourages discussions, and fosters a sense of community participation and support.

3. Information Sharing: Social media platforms serve as hubs for sharing information, including news articles, research findings, and expert advice related to creating a safe and healthy living environment. Through sharing informative content, social media advocates can educate and empower community members to take action and make informed choices regarding their living environment.

4. Mobilization and Networking: Social media can facilitate the mobilization of individuals and groups who are passionate about creating a safe and healthy living environment. It allows like-minded people to connect, collaborate, and organize initiatives, campaigns, and events aimed at raising awareness, advocating for policy changes, and implementing community projects.

5. Tracking Impact: Social media platforms provide analytics and insights that allow advocates to track the impact of their efforts. Metrics such as engagement rates, reach, and shares can help measure the effectiveness of social media campaigns in advocating for community support. This data can inform future strategies and improvements to maximize the impact of advocacy efforts.

In conclusion, social media can be an effective tool in advocating for community support for a safe and healthy living environment. Its wide reach, engagement opportunities, information sharing capabilities, mobilization potential, and tracking abilities make it a valuable platform for raising awareness, fostering community participation, and driving positive change in the community's living environment.

Answer: 270in^3

Explanation:

9x9 = 81

81x2=162  

9x3=27

27*4=108

162+108=270

Answer:

for (0,6) is founded in quadrant first

for (-4,2) is founded in quadrant second

for (3,-4) is founded in quadrant fourth

for (-7,-6) is founded in quadrant third

Think it may help :)

Answer: 0.051

Explanation:

In order to find the probability that two different pedestrian deaths were both involved in pedestrians that were intoxicated, we need to find the probability of this specific event occurring out of all possible events. To do this, we can use the formula:

Probability = (Number of favorable outcomes) / (Total number of possible outcomes)

First, we need to find the number of pedestrian deaths that involved intoxicated pedestrians. We can see from the table that 51 pedestrian deaths were caused by an intoxicated driver and a pedestrian who was also intoxicated.

Next, we need to find the total number of possible outcomes. We can see from the table that there are a total of 51 + 83 + 263 + 592 = 999 pedestrian deaths.

Therefore, the probability that two different pedestrian deaths were both involved in pedestrians that were intoxicated is:

Probability = 51 / 999 = 0.051

Rounded to four decimal places, the probability is 0.0510

The cost of goods sold for the month of October using the FIFO method is $11,490 and the cost of the ending inventory is $6,840.

FIFO is one of the most commonly used inventory accounting methods. FIFO stands for First-In, First-Out, and it means that the first inventory items that enter a warehouse or storage location are the first to leave.

FIFO is often used in industries where products have an expiration date, like food and beverage, and it's also popular with companies that sell items that can quickly become obsolete, like technology or fashion companies.

Here, we are given the following transactions related to Sandra’s Purse Boutique and we need to calculate the ending inventory and cost of goods sold using the FIFO method.

Date Transactions Units Unit Cost Total Cost October 1 Beginning inventory 6 $820 $4,920 October 4 Sale 4 October 10 Purchase 5 $830 $4,150 October 13 Sale 3 October 20 Purchase 4 $840 $3,360 October 28 Sale 7 October 30 Purchase 8 $850 $6,800

We will calculate the cost of goods sold and ending inventory step by step using the FIFO method as follows:

As we are using FIFO, the first goods purchased are assumed to be sold first, and therefore, the cost of goods sold is calculated by using the unit cost of the oldest purchase transactions. Cost of goods sold (COGS) = Cost of oldest inventory * Units sold from oldest inventory to newest inventory

First, we will calculate the cost of goods sold for the first sale of 4 units on October 4. The first 4 units of inventory sold are from the beginning inventory of 6 units, which were purchased at a unit cost of $820.

Therefore, COGS = 4 * $820 = $3,280

Similarly, we will calculate the cost of goods sold for the second sale of 3 units on October 13. The first 2 units of inventory sold are from the beginning inventory of 6 units, which were purchased at a unit cost of $820. The remaining unit is from the purchase of 5 units on October 10, which were purchased at a unit cost of $830.

Therefore, COGS = (2 * $820) + (1 * $830) = $2,470

Finally, we will calculate the cost of goods sold for the third and final sale of 7 units on October 28. The first 2 units of inventory sold are from the beginning inventory of 6 units, which were purchased at a unit cost of $820. The next 4 units of inventory sold are from the purchase of 4 units on October 20, which were purchased at a unit cost of $840.

The remaining unit is from the purchase of 5 units on October 10, which were purchased at a unit cost of $830. Therefore, COGS = (2 * $820) + (4 * $840) + (1 * $830) = $5,740

Hence, the total cost of goods sold for the month of October using the FIFO method is $3,280 + $2,470 + $5,740 = $11,490

Now, we will calculate the ending inventory for the month of October. The ending inventory will include the remaining units that were not sold. We will first calculate the total units available for sale by adding the beginning inventory and the purchases made during the month.

Total units available for sale = Beginning inventory + Purchases

Total units available for sale = 6 + 5 + 4 + 8 = 23 units

Now, we will calculate the ending inventory using the FIFO method. The ending inventory will include the newest units purchased during the month. Units sold during the month = 4 + 3 + 7 = 14 units.

Therefore, the remaining units in the inventory = Total units available for sale - Units sold during the month

Remaining units in the inventory = 23 - 14 = 9 units

The 9 units in the ending inventory are from the last purchase of 8 units made on October 30, and the remaining unit is from the purchase of 4 units made on October 20.

Therefore, the total cost of the ending inventory using the FIFO method = (8 * $850) + (1 * $840) = $6,840

Therefore, the cost of goods sold for the month of October using the FIFO method is $11,490 and the cost of the ending inventory is $6,840.

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Answer:

it can steal data or passwords

Explanation:

a)  The total revenue (TR) function can be calculated by multiplying the unit selling price by the quantity sold.

TC = FC + TVC = 400,000 + 3,000,000 = 3,400,000 birr.

The profit function (P) can be determined by subtracting the total cost from the total revenue, so P = TR - TC = 100Q - 3,400,000 birr.

b) The breakeven point can be found by setting the profit function equal to zero, as this is the point where total revenue equals total cost.

Sales Volume = 34,000 units * 100 birr/unit = 3,400,000 birr. Hence, the breakeven point in terms of sales volume is 3,400,000 birr.

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The scatterplot will show that there is a negative relationship between time spent on the phone and battery life remaining.

The scatterplot shows a clear negative relationship between time spent on the phone and battery life remaining. As time spent on the phone increases, battery life remaining decreases. The regression line also shows a negative slope, which confirms this relationship.

In bottom right, data points in this quadrant represent times when the battery life was low and the time spent on the phone was high. This is the most likely quadrant for data points to fall in, as it represents times when the phone was being used heavily.

In this example, all of the data points fall in the bottom right quadrant, which confirms that there is a negative relationship between time spent on the phone and battery life remaining.

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Answer:

t = 18, g = 11

Explanation:

here's the working out i did on my laptop

The 99% confidence interval for the mean will be 21.45 ± 2.12.

From the information, the study was conducted to estimate the mean age when people buy their first new car. The ages of purchase for 22 randomly selected people.

Mean = 472 / 22 = 21.4545

Sample Standard deviation = √ ( 259.4552 / 22 -1 ) = 3.515

Critical value= 2.8314 ( From t table )

21.4545 ± t(0.01/2, 22 -1) * 3.515/√(22)

Lower Limit = 19.33

Upper Limit = 21.4545 + t(0.01/2, 22 -1) 3.515/√(22)

Upper Limit = 23.58

99% Confidence interval is ( 19.33 , 23.58 )

Where data is in the range of I7:I28

Margin of error = = 2.12

AVERAGE(I7:I28) = 21.45

21.45 ± 2.12

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Answer: (19.33, 23.57)

Explanation:

Use Excel to calculate the 99% confidence interval, where α=0.01 and n=22.

1. Open Excel and enter the given data in column A. Find the sample mean, x¯, using the AVERAGE function and the sample standard deviation, s, using the STDEV.S function. Thus, the sample mean, rounded to two decimal places, is 21.45 and the sample standard deviation, rounded to two decimal places, is 3.51.

2. Click on any empty cell, enter =CONFIDENCE.T(0.01,3.51,22), and press ENTER.

3. The margin of error, rounded to two decimal places, is 2.12. The confidence interval for the population mean has a lower limit of 21.45−2.12=19.33 and an upper limit of 21.45+2.12=23.57.

Thus, the 99% confidence interval for the mean is (19.33, 23.57).

It is basically not possible to actually burn off alcohol by strenuous activity.

Exercise is a type of physical activity that improves or maintains overall health and wellness as well as physical fitness.

Exercise alone won't be enough to completely burn off the alcohol in your system. No matter how active you are, your liver continues to process alcohol at a fairly constant rate.

Physical activity may momentarily increase your metabolism, but it has no effect on how quickly alcohol is processed.

One normal drink of alcohol, which is equal to approximately 12 ounces of beer, 5 ounces of wine, or 1.5 ounces of hard liquor, may usually be metabolized by the liver in one hour.

The precise rate at which alcohol is metabolized, however, might vary based on things including body weight, gender, and overall health.

Thus, it is not possible.

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The value of n where n −11+1 equal to 0 is 10.

Expression simply refers to the mathematical statements which have at least two terms which are related by an operator and contain either numbers, variables, or both.

Addition, subtraction, multiplication, and division are all possible mathematical operations. As an illustration, the expression x + y has the terms x and y with an addition operator between them.

Therefore, n - 11 + 1 = 0

n - 10 = 0

n = 0 + 10

n = 10

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Answer:

intrusive because Intermediate rocks have lower silica content (55-65%).

Explanation:

#ME IS SMART

Answer:

A chef who opens a new restaurant

Explanation:

Note that since from the results, the null hypothesis is rejected, it can be deduced that there is strong proof that the distribution of digits in the directory is NOT uniformly distributed.

The null hypothesis in inferential statistics states that the two options are the same. The null hypothesis states that the observed difference is solely attributable to chance. The likelihood that the null hypothesis is true may be calculated using statistical testing.

In the above scenario, the chi-square statistics will be used.

Sample size; n = 10

Chi-square test statistic is:

X²ₙ₋₁ = (Oi - Ei)² /Ei

Where Oi = Observed Frequency; and

Ei = Expected Frequency

Note that the Mathematical Expression for Expected Frequency is:

Ei = (O₁ + O₂ + .....+ Oₙ)/n

= (1026 + 1107 + ....+ 853)/10

= 10,000/10

= 1,000

The hypotheses is described as:

H₀: The distribution of digits in the directory follows a uniform distribution.

Hₐ: The distribution of digits in the directory does not follow a uniform distribution.

From the above, the test statistics using a spreadsheet are computed as follows: X²\(_{cal}\) test statistic = 58.542

Next, we examine the Degree of Freedom (DF).

Df = (n-1)

= 10 - 1

= 9

Thus, the critical value computed using X² distribution table is 16.92.

Since X²\(_{cal}\) (58.542) >  X²\(_{tab}\) (16.92), the null hypothesis is rejected. Hence, it is correct to state that there is good evidence that the distribution of digits in the telephone directory is no uniformly distributed.

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