Why does no one answer my questions in Brainly? If you're good at math, please look at my recent questions and answer them if you know it. Now, below is one of the questions that I am struggling with. Please help!

Answer:

21

Step-by-step explanation:

Richard's gross pay for the month was $ 4,512.5.

It is required to find the gross pay for the month.

Arithmetic is the branch of mathematics that deals with the study of numbers using various operations on them. Basic operations of math are addition, subtraction, multiplication and division. These operations are denoted by the given symbols.

Given:

commission rate: 3.00% for oil changes, 5.00% for tune ups and 6.25% on auto part sales.

salary = $2,450.00 per month

Last month salary= $2,500.00 in oil changes,

tune ups=$4,500.00  

sold =$28,200.00 in parts.

According to given question we have,

2,450 + (2,500 x 0.03) + (4,500 x 0.05) + (28,200 x 0.0625) = X

2,450 + 75 + 225 + 1,762.5 = X

2,450 + 2,062.5 = X

4,512.5 = X

Therefore, Richard's gross pay for the month was $ 4,512.5.

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The correct answer is D. setne 23 47. Based on the provided information, I understand that you have a comparison function in C code and its corresponding assembly code. You are asked to fill in the blanks by selecting the appropriate instructions based on the given values of a and b and the status flags SF, OF, ZF, and CF. Let's go through the options:

A. setg 47 23: This option is incorrect because setg is used to set a byte to 1 if the Greater flag (ZF=0 and SF=OF) is set, but the given values of a and b are 47 and 23, respectively, so it does not satisfy the condition for setg to be set.

B. setl 23 47: This option is incorrect because setl is used to set a byte to 1 if the Less flag (SF≠OF) is set, but the given values of a and b are 23 and 47, respectively, so it does not satisfy the condition for setl to be set.

C. sete 23 23: This option is incorrect because sete is used to set a byte to 1 if the Zero flag (ZF=1) is set, but the given values of a and b are 23 and 23, respectively, so it does not satisfy the condition for sete to be set.

D. setne 23 47: This option is correct. setne is used to set a byte to 1 if the Zero flag (ZF=0) is not set, which means the values of a and b are not equal. In this case, the given values of a and b are 23 and 47, respectively, so they are not equal, and setne should be used.

Therefore, the correct answer is D. setne 23 47

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Answer:

9 is the answer

Step-by-step explanation:

Multiply

Then calculate the sum hope this helps! :)

Answer:

2nd option

Step-by-step explanation:

If AB  is a tangent to the circle then ∠ B is right angle

Using the converse of Pythagoras' identity.

If the square of the longest side is equal to the sum of the squares on the other 2 sides, then the triangle is right

longest side = 52 and 52² = 2704

48² + (10 + 10)² = 48² + 20² = 2304 + 400 = 2704

Then AB  is a tangent to the circle since ∠ B is a right angle

Answer:

b = \(\frac{S-2la}{h+l}\)

Step-by-step explanation:

S = bh + lb + 2la ( reversing the equation )

bh + lb + 2la = S ( subtract 2la from both sides )

bh + lb = S - 2la ← factor out b from each term on the left side

b(h + l) = S - 2la ← divide both sides by (h + l)

b = \(\frac{S-2la}{h+l}\)

Answer: $164

Step-by-step explanation:

25*7=175

175+12.5

226.50-187.50

5*25=125+39

Jones family payed $164

Answer:

0.040 "<" 0.207

Step-by-step explanation:

0.040

0.207

We can see that there is a 2 in 0.207 in the tenths spot, which automatically makes it larger than 0.040.

Write an inequality using the "<" sign:

0.040 < 0.207.

Hope this helps!

Answer:

21.11

Step-by-step explanation:

Answer:

Step-by-step explanation:

=5

Answer:

22

Step-by-step explanation:

FGH - FGS = SGH

108 - 86 = 22

Answer:

∠ SGH = 22°

Step-by-step explanation:

∠ FGS + ∠ SGH = ∠ FGH , that is

86° + ∠ SGH = 108° ( subtract 86° from both sides )

∠ SGH = 22°

Answer:

idek

Step-by-step explanation:

Answer:

0.87%

Step-by-step explanation:

→ Divide 0.87 by 10

0.87 ÷ 100 = 0.0087

→ Multiply answer by 100

0.0087 × 100 = 0.87

A p-value less than 0.05 is considered significant because it indicates strong evidence against the null hypothesis.

A p-value is a measure of the strength of evidence against a null hypothesis. It tells you the probability of getting a test statistic as extreme as the one you observed, assuming the null hypothesis is true.

Now, to answer your question, if a p-value is less than an alpha set at 0.05, it is considered significant. This means that there is less than a 5% chance that the observed effect is due to random chance or error.

In other words, the evidence is strong enough to reject the null hypothesis and support the alternative hypothesis.

To better understand this concept, let's consider an example. Suppose we want to test whether a new drug is effective in treating a certain condition.

The null hypothesis is that the drug has no effect, while the alternative hypothesis is that it does have an effect. We conduct a clinical trial with a sample size of 100 patients and find that 60 of them show improvement after taking the drug.

We calculate a p-value of 0.02, which is less than our alpha of 0.05. This means that there is strong evidence to reject the null hypothesis and conclude that the drug is indeed effective.

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The quantity of substance remains after 850 years is 8.98g if the half life of radioactive radium is 1,599 years.

The time taken by substance to reduce to its half of its initial concentration is called half life period.

We will use the half- life equation N(t)

N e^{(-0.693t) /t½}

Where,

N is the initial sample

t½ is the half life time period of the substance

t2 is the time in years.

N(t) is the reminder quantity after t years .

Given

N = 13g

t = 350 years

t½ = 1599 years

By substituting all the value, we get

N(t) = 13e^(0.693 × 50) / (1599)

= 13e^(- 0.368386)

= 13 × 0.691

= 8.98

Thus, we calculated that the quantity of substance remains after 850 years is 8.98g if the half life of radioactive radium is 1,599 years.

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Answer:

x = -3/2 or x = 1

Step-by-step explanation:

Answer: Greater than the actual product

Step-by-step explanation: Trust

Answer:

y-6 = -1/2 * (x-1)

Step-by-step explanation:

Point slope form is y - y1 = m(x - x1), where (x1, y1) is the point and m is the slope. Plug in (1,6) for (x1, y1) and -1/2 for m.

Answer:

linear

tetrahedral

bent

trigonal-bipyramidal

Step-by-step explanation:

Molecular geometry, also known as the molecular structure, is the three-dimensional structure or arrangement of atoms in a molecule.

a) A molecule with two atoms and no lone pairs around the central atom has a shape -Linear.

b) A molecule with four atoms and no lone pairs around the central atom has a shape- Tetrahedral

c) A molecule that has two atoms and two lone pairs around the central atom has a shape - Bent.

d) A molecule that has five atoms and no lone pairs around the central atom has a shape- Trigonal-bipyramidal.

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Answer:

let x =the original price

then 116x/100=$39.32

116x=100×39.32

116x=3932

divide both sides by 116

116x/116=3932/116

x=33.89655

(2dp)

x=33.90

Predictive data analytics can be used by the oil exploration company to address their problem by (a) building predictive models to identify high-potential drilling sites based on historical data and (b) using machine learning algorithms to analyze various data sources and identify patterns that lead to successful oil well locations. These approaches will help the company save costs by focusing their exploratory drilling efforts on sites with higher chances of success.

1. Building predictive models: The company can gather historical data on drilling sites, including factors such as geological features, soil characteristics, and measurements from gravitational and seismic instruments. By using this data, they can develop predictive models using machine learning algorithms.

These models will analyze the data patterns and identify the characteristics that correlate with successful oil well locations. The predictive models will provide a probability score or ranking for each potential drilling site, indicating the likelihood of finding viable oil wells.

2. Analyzing various data sources: Another approach is to utilize predictive analytics to analyze multiple data sources simultaneously. The company can integrate data from ordinance survey maps, aerial photographs, rock and soil samples, and other relevant sources.

Machine learning algorithms can be applied to identify patterns and relationships between the collected data and successful oil well locations. This analysis will help the company prioritize drilling sites based on the probability of success, reducing the need for extensive exploratory drilling.

For both proposed approaches, the data required would include historical data on drilling sites, geological features, soil characteristics, measurements from gravitational and seismic instruments, ordinance survey maps, aerial photographs, and other relevant data sources.

To utilize the insights provided by the predictive analytics solutions, the company would need the capacity to store and process large volumes of data. They would also require data analysis tools and infrastructure to run the predictive models and generate actionable insights in a timely manner.

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Answer:

6 + 10x < -23

Step-by-step explanation:

6 increased by (+) 10x (the product of a number and 10) < (is less than) -23

If \(y=x^m\) is a solution to the ODE

\(x^2 y'' - 7xy' + 15y = 0\)

then substituting \(y\) and its derivatives

\(y' = mx^{m-1} \text{ and } y'' = m(m-1)x^{m-2}\)

gives

\(m(m-1)x^2x^{m-2} - 7mxx^{m-1} + 15x^m = 0\)

\(m(m-1)x^{m} - 7mx^{m} + 15x^m = 0\)

\((m(m-1) - 7m + 15)x^{m} = 0\)

We ignore the trivial case of \(y=x^m=0\). Solve for \(m\).

\(m(m-1) - 7m + 15 = 0\)

\(m^2 - 8m + 15 = 0\)

\((m - 3) (m - 5) = 0\)

\(\implies \boxed{m=3} \text{ or } \boxed{m=5}\)

To identify a sample representing the unhoused populations in Toronto, a researcher should use a stratified random sampling strategy.

Stratified random sampling involves dividing the population into subgroups or strata based on relevant characteristics, and then selecting a random sample from each stratum. In the case of studying the health needs of the unhoused populations in Toronto, stratified random sampling would be appropriate for several reasons: Heterogeneity: The unhoused populations in Toronto may have diverse characteristics, such as age, gender, ethnicity, or specific locations within the city. By using stratified sampling, the researcher can ensure representation from different subgroups within the population, capturing the heterogeneity and reducing the risk of biased results.

Targeted analysis: Stratified sampling allows the researcher to analyze and compare the health needs of specific subgroups within the unhoused population. For example, the researcher could compare the health needs of older adults experiencing homelessness versus younger individuals or examine variations between different ethnic or cultural groups.

Precision: Stratified sampling increases the precision and accuracy of the study findings by ensuring that each subgroup is adequately represented in the sample. This allows for more reliable conclusions and generalizability of the results to the larger unhoused population in Toronto.

Overall, stratified random sampling provides a systematic and effective approach to capture the diversity within the unhoused populations in Toronto, allowing for more nuanced analysis of their health needs.

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