a speech made for the first time in public gathering is called

Answer:

Second (symbol s, the unit of time)

Metre (m, length)

Kilogram (kg, mass)

Ampere (A, electric current)

Kelvin (K, thermodynamic temperature)

Mole (mol, amount of substance)

Candela (cd, luminous intensity)

To dissolve a solute in a solvent quickly, Zora should shake it repeatedly.

Shaking the mixture or stirring it vigorously promotes the interaction between the solute and solvent molecules, increasing their chances of coming into contact and facilitating the dissolution process. This agitation helps in breaking down the solute particles and dispersing them evenly throughout the solvent, thereby accelerating the dissolution rate.

Decreasing the pressure or decreasing the surface area would not have a significant impact on the dissolution process. Pressure and surface area primarily affect the rate of dissolution for gases or solid particles exposed to the solvent, but they are not applicable in all scenarios.

Placing the mixture in a refrigerator would slow down the dissolution process rather than speed it up. Lowering the temperature decreases the kinetic energy of the molecules, reducing their movement and the overall rate of dissolution.

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for behavioral reinforcement cheering and clapping, hugging or patting someone on the back,I give it a thumbs up,Providing a unique activity, such as playing a game or reading a book collectively,expressing gratitude.

Positive programming, modelling, shaping, the token economy, self-monitoring, and praise and approbation are some examples of behaviour modification techniques that can be used to improve behaviour.

As was already said, positive reinforcement refers to the introduction of a pleasurable stimulus (i.e., a reward) to motivate the desired behaviour. Giving a kid a treat for being kind to a stranger is one way to do this.

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Answer:

yes

Explanation:

because when you pass you tend to believe in your self more and not be afraid to try new problems .

Answer: A narcissistic leader wants to take over the world and create an empire. They want to leave behind a larger than life legacy, and therefore actively seeks to expand their sphere of influence, hire more subordinates, or increase their reach and authority within the organization.

Explanation: Hope this helps! :)

Answer:

A gain more wealth and power

Explanation:

your welcome

and have a good day and stay happy

Answer:

15/36 or 5/12

Explanation:

Answer:

In an observational study, we measure or survey members of a sample without trying to affect them. In a controlled experiment, we assign people or things to groups and apply some treatment to one of the groups, while the other group does not receive the treatment.

Explanation:

Answer:

The correct answer is "The vehicle is only used for business purposes". A driver's log is used to keep track of the use of the vehicle and ensure that it is being used only for business purposes, not for personal use. This is important for tax and insurance purposes.

Explanation:

Answer:

it is true

Explanation:

because i looked it up and it said true

Answer:

true

Explanation:

The most significant limitation that Carl Schurz's work has as a resource for a historian is that he wrote his account about fifty years after the events occurred.

Carl Christian Schurz was an American statesman, author, and reformer. He has immigrated to the United States after the German Revolution of 1848 and quickly rose to prominence within the newly formed Republican Party.

He has wrote the number of works, such as his Reminiscences (1907–09), a volume of talks, and a two-volume biography of Henry Clay (1887). His work is limited by the time interval between the actual incident and the time he ultimately wrote it down.

Therefore, Schurz wrote his account about fifty years after the events occurred.

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What is the most significant limitation that Carl Schurz's work has as a resource for a historian?

A. Schurz was too young to be a reliable witness.

B. Schurz was not an eyewitness to the events he describes.

C. Schurz wrote his account about fifty years after the events occurred.

D. Schurz was a government official likely biased against the revolution.

Answer is C. Schurz wrote his account about fifty years after the events occurred

The best way to handle the situation is option 2:

The worst way to handle the situation would be option 1, 3,and 4

The best way to handle the situation would be for Luisa to prioritize and schedule her least favorite task of calling clients who have not yet submitted their invoices to collect on overdue payments. She could set aside a specific time each day or each week to make the calls, and make sure to prepare herself mentally and emotionally before making the calls.

The worst way to handle the situation would be for Luisa to procrastinate or avoid making the calls altogether. This would not only delay the collection of overdue payments, but it would also create unnecessary stress and discomfort for Luisa. Additionally, it would negatively impact the business operations, and can lead to poor relationship with the clients.

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When requesting a letter of recommendation, it is essential to provide necessary information to the person writing it. However, one aspect that should not be shared is the specific type of financial aid you are seeking (Option B).

It is generally considered inappropriate and unnecessary to involve a letter writer in the details of your financial situation.

Sharing the due date of the letter (Option A) is crucial to ensure that the writer has sufficient time to complete it. Similarly, informing them about the institutions or programs you are applying to and explaining why (Option C) helps them tailor the letter to highlight relevant skills and experiences.

Option D, stating what you would like the letter writer to emphasize, is also essential. By providing specific guidance, you can ensure the letter focuses on the aspects that best represent your abilities and achievements.

To summarize, it is important to inform the letter writer of the due date (A), the institutions you are applying to and your reasons for applying (C), and any specific requests you have regarding the content (D).

However, sharing details about the financial aid you are seeking (B) is not necessary or appropriate.

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The Probable question may be:

You should inform the person who is writing your letter of recommendation of all of the following things except:

A.when the letter is due.

B.what type of financial aid you are seeking.

C.where you are applying and why.

D.what you would like him or her to write.

Answer:

Climate change impact is more complex and enduring than natural disasters – and affects people with disabilities in dynamic ways. Examples of health and survival factors include extreme heat harming people with spinal cord injuries who are unable to perspire and will need cooling centers.

Effective communication technologies are necessary for alerting people with hearing impairments on evacuation planning. Ramps into shelters, accessible bathrooms, and feasible evacuation transportation are essential for mobility-impaired persons, including those using respirators, and indeed for anyone unable to safely utilize standard buses.

Another significant impact upon people with disabilities as a consequence of climate change is that of forced migration, now occurring worldwide.

Each of these many consequences must be addressed regarding specific climate change impact on specific individuals and categories of people with disabilities. Of course, everyone is vulnerable in any kind of disaster or environmental degradation.

We know that climate change impact is happening now all over the globe. Adaptation, the advance planning and infrastructure-building in anticipation of impact is particularly crucial for people with disabilities.

Full inclusion of the disability community has emerged as a powerful, world-wide movement of civil and human rights, enacted, over the past six to seven decades through public education and laws, such as the Americans with Disabilities Act (ADA) and the United Nations Convention of the Rights of People with Disabilities (CRPD).

Creation of disability inclusion, via specific measures of access and accommodations remove these barriers to participation in the mainstream community. This movement is led by people with disabilities, and supported by our allies: families, service providers, advocates and policy-makers.

Our slogan, "Nothing About Us Without Us!" asserts our insistence in full participation in all planning and activities that affect us.

The UN Convention on the Rights of Persons with Disabilities has greatly encouraged and emboldened people with disabilities around the world to view ourselves as deserving of human rights protection. Full inclusion in climate resilience will be a complex undertaking due to personal, social, economic and political circumstances of this community. Responses will require large-scale initiatives and strong collaborations between stakeholders across the climate justice and disability spectrum.

It is fortunate that those currently addressing climate change and disability, respectively, are well-engaged with a social justice framework. Both groups must understand the scope and complexities between climate change and disability. The key is thus to educate and activate these stakeholders to develop strategies to safeguard the broad, intersectional populations of people with disabilities as climate change unfolds.

The World Institute on Disability has connected with the United Nations, the International Organization on Migration, and local, state and national climate change action groups, to enlist all as meaningful allies. We have participated in actions on climate change in general, and intend to explore broad impact.

We have created a website, given talks and workshops, and published articles, videos and social media releases.

We are enlisting disabled people and our allies as trainers and leaders in climate change mitigation and adaptation activism.

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:

Explanation:

5320 5402 4064 5652

The mean pressure applied to the driver's head during a crash test is not equal for at least one pair of car types (compact, midsize, and full-size cars).

To test whether the mean pressure applied to the driver's head during a crash test is equal for each type of car (compact, midsize, and full-size), we can use a one-way analysis of variance (ANOVA). ANOVA is used to compare the means of three or more groups.

First, let's define the null and alternative hypotheses:

Null hypothesis (H₀): The mean pressure applied to the driver's head is equal for compact, midsize, and full-size cars.

Alternative hypothesis (H₁): The mean pressure applied to the driver's head is not equal for at least one pair of car types.

We will use a significance level (α) of 5% (0.05).

Given the data:

Compact cars: 643, 655, 702

Midsize cars: 469, 427, 525

Full-size cars: 484, 456, 402

Let's calculate the necessary statistics for the ANOVA table:

Compact cars:

Sample mean (X): 666.67

Sample standard deviation (S): 31.18

Midsize cars:

Sample mean (X): 473.67

Sample standard deviation (S): 49.17

Full-size cars:

Sample mean (X): 447.33

Sample standard deviation (S): 41.68

Now, we can proceed with the ANOVA test and calculate the F-statistic and p-value.

The ANOVA table looks as follows:

Source of Variation | Sum of Squares (SS) | Degrees of Freedom (df) | Mean Square (MS) | F-statistic

----------------------- | --------------------- | --------------------- | ---------------- | --------------------

Between Groups | SS_between | k - 1 | MS_between = SS_between / (k - 1) | F = MS_between / MS_within

Within Groups | SS_within | N - k | MS_within = SS_within / (N - k) |

Total | SS_total | N - 1 |

Where:

- k is the number of groups (car types)

- N is the total number of observations

- SS represents the sum of squares

Let's calculate the ANOVA table using the provided data:

Total number of observations (N): 3 groups x 3 observations per group = 9

Number of groups (k): 3

Between Groups:

Mean of all observations (grand mean):

x-cap = (666.67 + 473.67 + 447.33) / 3 = 529.89

SS_between = (3 × ((666.67 - 529.89)² + (473.67 - 529.89)² + (447.33 - 529.89)²))

Within Groups:

SS_within = (2 × (31.18² + 49.17² + 41.68²))

Total:

SS_total = SS_between + SS_within

Now, we can calculate the degrees of freedom (df) for each source of variation:

df_between = k - 1 = 3 - 1 = 2

df_within = N - k = 9 - 3 = 6

df_total = N - 1 = 9 - 1 = 8

Finally, we can calculate the mean squares:

MS_between = SS_between / df_between = 343,640.67 / 2 = 171,820.335

MS_within = SS_within / df_within = 32,533.99 / 6 = 5,422.33167

We have obtained the actual values for the ANOVA calculations. Now we can proceed to calculate the F-statistic and determine whether to reject or fail to reject the null hypothesis.

Now, let's calculate the F-statistic:

F = MS_between / MS_within = 171,820.335 / 5,422.33167 ≈ 31.73

To determine whether to reject or fail to reject the null hypothesis, we need to compare the calculated F-statistic to the critical F-value from the F-distribution table at the given significance level (α = 0.05). However, we need to determine the critical F-value based on the degrees of freedom for the numerator (df_between) and denominator (df_within).

For df_between = 2 and df_within = 6, the critical F-value at α = 0.05 is approximately 5.14.

Since the calculated F-statistic (31.73) is greater than the critical F-value (5.14), we can reject the null hypothesis.

Therefore, we conclude that the mean pressure applied to the driver's head during a crash test is not equal for at least one pair of car types (compact, midsize, and full-size cars).

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Answer:

The mean of the distribution is 4.00 and the standard deviation is 2.31

Explanation:

Given

Range = 2 to 10

Type of distribution = uniform distribution

Required

1. Mean

2. Standard Deviation

The mean of uniform distribution is calculated as thus;

\(Mean = \frac{1}{2}(a + b)\)

Where b and a are the intervals of the distribution

b = upper bound = 10

a = lower bound = 2

So,

\(Mean = \frac{1}{2}(a + b)\)

Substitute 10 for b and 2 for a

\(Mean = \frac{1}{2}(2 + 10)\)

\(Mean = \frac{1}{2}(12)\)

\(Mean = \frac{1}{2} * 12\)

\(Mean = 6\)

\(Mean = 6.00\) (Approximated to 2 decimal places)

The standard deviation of uniform distribution is calculated as thus;

σ = √σ²

Where σ represents the standard deviation and σ² represents the variance.

Calculate variance

σ² = Var

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

Substitute 10 for b and 2 for a

\(Var = \frac{(10 - 2)^2}{12}\)

\(Var = \frac{8^2}{12}\)

\(Var = \frac{64}{12}\)

\(Var = 5.33\)

Recall that

σ = √σ² = √Var

Substitute 5.33 for Var

σ = √5.33

σ = 2.309401076758503

σ = 2.31 (Approximated)

Hence, the mean of the distribution is 4.00 and the standard deviation is 2.31

The conclusions that can be drawn from the results of the survey are  -

- A person in the group who is more likely to read is a boy.

- There is no association between preferring reading and gender.

- There is no association between preferring music and gender.

Based on the results of the   survey,it can be concluded that boys in the group are more likely to read. This suggests a correlation between gender and reading preference.

However,there is no association between   gender and the preference for listening to music, indicating that music preference is not influenced by gender.

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Ridges: run parallel to the coast

mark ancient geological faults

Hills: Some in the Appalachian Mountains are taller than Florida ridges

Lakes: Formed after glaciers dissolved the limestone substrate beneath them

More common in northern regions

Answer:

Sigmund freud

Explanation:

The hypothesis of the question is written below

H0: (p ≤ 0.63)

H1:  (p > 0.63)

The hypothesis for the given scenario can be summarized as follows:

Null Hypothesis (H0): The proportion of computer chips that do not fail in the first 1000 hours of use is 63% or less. (p ≤ 0.63)

Alternative Hypothesis (Ha): The proportion of computer chips that do not fail in the first 1000 hours of use is greater than 63%. (p > 0.63)

The null hypothesis assumes that the company's claim is not supported, suggesting that the proportion of chips not failing within 1000 hours is 63% or lower. T

he alternative hypothesis counters this claim and proposes that the proportion is higher than 63%. The significance level chosen for the test is 0.10, which will be used to evaluate the evidence from the sample data.

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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:

Possible values:

0 and 12

Explanation:

To solve the system of equations, let's set y = x^2 - 4x + 3 and y = x - 1 equal to each other to first solve for x.

x^2 - 4x + 3 = x - 1 (add one to both sides)

x^2 - 4x + 4 = x (subtract x from both sides)

x^2 - 5x + 4 = 0

Next, we simply factor the expression. -1 and -4 add up to -5 and multiply to 4, so the factored expression looks like this:

(x - 1)(x - 4) = 0

x = 1 and x = 4 are both solutions to the factored equation. Now, let's plug the values back in to both equations.

(1)^2 - 4(1) + 3 = 0

(4)^2 - 4(4) + 3 = 3

(1) - 1 = 0

(4) - 1 = 3

When 1 is plugged into either equation, 0 is the value of y. For 4, 3 is the value of y. The possible values of product of x and y are below:

0 * 1 = 0

4 * 3 = 12

Brainliest, please :)

Answer:

Give me a glass of water,?

Answer:

yeng fiend

Explanation:

polisido chi phen roaks

The distribution of x, the speed for a randomly selected car  can be expressed as a normal distribution with a mean of 78 MPH. Thus, we can write it as X ~ N(78, 10 )

The Gaussian distribution, also known as normal distribution, is often employed in statistical analysis due to its symmetrical bell-shaped curve for the continuous probability distribution.

Thus, it is correct to state that the distribution of x, the speed for a randomly selected car  can be expressed as a normal distribution with a mean of 78 MPH and standard deviation 10 MPH , since these are the parameters of the underlying distribution. More formally, we can write:

X ~ N(78, 10)

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Answer:

The sample statistic is 40%.

Explanation: