{1, 2, 3,..., 175, 176, 177, 178}
How many numbers in the set above
have 5 as a factor but do not have
6-10 as a factor?
A. 1
B.
3
C. 4
D. 17
E. 18

The team that had the best overall record for the season is Panthers. Therefore the best way to explain the answer B. Panthers; they have a larger mean value of about 14.8 points.

For panthers, we calculate their mean values by totaling all their scores.

14+10+10+10+17+3+28+13+17+32+16+10+14+7+21 = 222

222/15 scores = 14.8

For Saints,  21+12+3+3+10+10+14+3+12+28+40+10+17+20+7 = 210

210/15 score = 14

This shows that Panthers have a larger mean value. Also, Panthers have a larger median value than saints.  We find the median by arranging the scores from small to large and picking the number in between.

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The height of the center of the Ferris wheel 51 m.

The height of capsule M is 51 m and the height of capsule T is 102 m.

Using this information, we can calculate the height of the center of the Ferris wheel, the height of capsule M, and the height of capsule T.

Height of the center of the Ferris wheel:

The center of the Ferris wheel is the midpoint of its diameter. Therefore, the height of the center of the Ferris wheel is half of the height of the top of the wheel above the ground.

Height of center of Ferris wheel = 102 meters / 2 = 51 meters.

Height of capsule M:

Since capsule M is at the same height as the center of the Ferris wheel, the height of capsule M is also 51 meters.

Height of capsule T:

Since capsule T is at the very top of the Ferris wheel, its height above the ground is equal to the height of the top of the Ferris wheel above the ground.

Height of capsule T = 102 meters.

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Answer:

the pressure of the gas at a volume of 16 L would be 28 kPa.

Step-by-step explanation:

Using Boyle's Law:

P1V1 = P2V2

Where:

P1 = 112 kPa (initial pressure)

V1 = 4 L (initial volume)

V2 = 16 L (final volume)

Solving for P2:

P2 = (P1 x V1) / V2

P2 = (112 kPa x 4 L) / 16 L

P2 = 28 kPa

Therefore, the pressure of the gas at a volume of 16 L would be 28 kPa.

After calculating the 90% confident true mean income per month of a person who works from home in sales falls between $2146.47 and $2553.53.

To calculate the 90% confidence interval for the true mean income per month of a person who works from home in sales, we can use the following formula:

[tex]CI = X' ± Z\frac{a}{2}[/tex] * (σ/√n)

here:
X' = sample mean
Zα/2 = z-score that corresponds to the desired level of confidence (in this case, 90%)
σ = population standard deviation
n = sample size

Placing the  values

CI = 2350 ± 1.645 * (175 / √12)
= [2146.47, 2553.53]

After calculating the 90% confident true mean income per month of a person who works from home in sales falls between $2146.47 and $2553.53.
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The percent increase for the dinner is 25%

The first step is to calculate the increase

The price rose from $7 to $8.75

Increase= 8.75-7

= 1.75

Therefore the percent increase can be calculated as follows

1.75/7 × 100

= 0.25 × 100

= 25

Hence the percent increase is 25%

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Trend component is easy to identify by using Moving average, Exponential smoothing, Regression analysis. So, correct options are A, B and C.

The trend component of a time series is a long-term movement in the data that represents a gradual increase or decrease over time. It is an important component of time series analysis because it can provide insights into the overall direction of the data and help forecast future trends.

One of the easiest ways to identify the trend component of a time series is by using a moving average. A moving average is a statistical method that calculates the average of a set of data over a specified period of time. By calculating the moving average, we can smooth out the short-term fluctuations in the data and identify the underlying trend.

Exponential smoothing is another method that can be used to identify the trend component of a time series. It is a forecasting technique that assigns exponentially decreasing weights to older observations, which places greater emphasis on more recent data.

This approach can help identify the trend by smoothing out the data and highlighting the underlying pattern.

Regression analysis can also be used to identify the trend component of a time series. It involves fitting a mathematical model to the data and identifying the relationship between the independent and dependent variables.

If the independent variable represents time and the dependent variable represents the data being analyzed, then regression analysis can help identify the trend component.

The Delphi approach is not typically used to identify the trend component of a time series. It is a forecasting technique that involves gathering expert opinions and using them to make predictions about future events.

In conclusion, the methods that are most commonly used to identify the trend component of a time series are moving average and exponential smoothing. Regression analysis can also be used in certain situations.

So, correct options are A, B and C.

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Answer: brainliest ?

-3 and -7

Step-by-step explanation:

Answer: a)159 boxes of cereal will be sold during the 10th week, b) an = 15n + 9

Step-by-step explanation:

Answer:

the value of x ia 7/2 and y is 5/2

Answer:

  x ∈ {6, 7, 8, 9, 10}

Step-by-step explanation:

You want possible values of whole number x such that ...

  4 ≤ √3 +√x < 5

We can solve this inequality by first subtracting √3 from all sides:

  4 -√3 < √x < 5 -√3

Squaring these positive numbers does not change their order:

  19 -8√3 < x < 28 -10√3

  5.14 < x < 10.67

The value of x may be any whole number in the range 6–10, inclusive.

So, from the given options, the scatter plot that shows a positive linear association is option B.

A scatter plot is a type of graph that displays the relationship between two variables. Each data point in the scatter plot represents a pair of values for the two variables being plotted, with one variable on the x-axis and the other on the y-axis. Scatter plots are used to examine the correlation or relationship between the variables. If the points on the scatter plot form a pattern that slopes upwards as you move from left to right, it indicates a positive linear association between the variables. If the pattern slopes downwards, it indicates a negative linear association. If there is no pattern or trend, it indicates no correlation between the variables.

Here,

A scatter plot that shows a positive linear association is one where the points on the graph form a pattern that goes upward and to the right.

In option A, the data points do not show a clear upward trend, so this scatter plot does not show a positive linear association.

In option B, there is a clear upward trend in the data points as you move from left to right, so this scatter plot does show a positive linear association.

In option C, the data points do not show a clear upward trend, so this scatter plot does not show a positive linear association.

In option D, the data points do not show a clear upward trend, so this scatter plot does not show a positive linear association.

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Answer:vvv

Step-by-step explanation:

Boss's nickname is Boss because they beat Glenna in the 1500m race.

Buzz's nickname is Buzz because they beat Juanita in the high jump.

Cosmo's nickname is Cosmo because they were with Tiger and Andre at the water station.

Tiger's nickname is Tiger because they lost to Juanita in the 400m race and tied with Glenna in the long jump.

Andre's nickname is not given, but we know they ran a leg of the relay race with Bilal.

Bilal's nickname is not given, but we know they ran a leg of the relay race with Andre.

Glenna's nickname is not given, but we know they tied with Tiger in the long jump.

Juanita's nickname is not given, but we know they lost to Buzz in the high jump and beat Tiger in the 400m race, and ran a leg of the relay race with Cosmo.

A. (-1, A)

B. (2, infinite)

C: (-infinite, - 1)

(pls let me know if I'm wrong and if I am I'm very sorry.)

Answer:

Great, based on the provided dimensions for Object 1 (the cereal box), here are the formulas and calculations for:

Area of the entire rectangular prism:

A = lw + lh + wh

A = 128 + 121.75 + 8*1.75

A = 96 + 21 + 14 = 131 square inches

Base area:

The base of a rectangular prism is a rectangle. So the base area formula is:

Base area = Length * Width

= 12 inches * 8 inches = 96 square inches

So the formulas are:

Area (entire prism): A = lw + lh + wh

Base area: Base area = Length * Width

In this case:

Length = 12 inches

Width = 8 inches

Height = 1.75 inches

Step-by-step explanation:

The number of permutations of the letters in the word indistinguishable such that the strings git, tin, and nab do not appear in the permutation is

3,172,973,824,000

Let A be the set of stages that contain the string "git",

B be the set of changes that contain the string "tin", and

C be the set of stages that contain the string "nab".

We need to discover the number of stages that don't contain any of these strings, which is the same as finding the measure of the set (A∪B∪C)'.

Utilizing the guideline of inclusion-exclusion, we have:

|A∪B∪C| = |A| + |B| + |C| - |A∩B| - |A∩C| - |B∩C| + |A∩B∩C|

We need to discover |(A∪B∪C)'|, which is the complement of the set A∪B∪C. In this manner:

|(A∪B∪C)'| = n! - |A∪B∪C|

Now we have to discover the measure of the sets A, B, and C, and their convergences.

For set A, able to settle the string "git" in its put in 3! ways, and after that permute the remaining 14 letters in 14! ways. In this manner, |A| = 3!×14!.

Essentially, we will discover |B| = 3!×14! and |C| = 3!×14!.

For the convergences, we are able to settle the comparing strings in their places and permute the remaining 11 letters in 11! ways. In this manner,

|A∩B| = 2!×11!,

|A∩C| = 2!×11!,

and |B∩C| = 2!×11!.

At long last, we have |A∩B∩C| = 1!×11! since we are able to settle all three strings in their places and permute the remaining 11 letters in 11! ways.

Substituting these values into the inclusion-exclusion equation, we get:

|A∪B∪C| = 3(3!×14!) - 3(2!×11!) + 1!×11!

|A∪B∪C| = 13608000

Subsequently:

|(A∪B∪C)'| = 17! - 13608000

|(A∪B∪C)'| = 3172973824000

So there are 3,172,973,824,000 permutations of the letters within the word "indistinguishable" such that the strings "git", "tin", and "nab" don't show up within the stage. 

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The likelihood that understanding testing positive for HIV with this test is tainted with HIV is almost 0.104 or 10.4%

To illuminate this issue, we will utilize Bayes' hypothesis. Let's characterize the taking after occasions:

A: the persistent is contaminated with HIV

B: the persistent tests positive for HIV

We need to calculate P(A|B), the likelihood that an understanding is contaminated with HIV given that they tried positive for HIV.

By Bayes' hypothesis:

P(A|B) = P(B|A) * P(A) / P(B)

where

1. P(B|A) is the likelihood of testing positive for HIV given that the persistent is tainted with HIV (97%)

2. P(A) is the predominance of HIV within the clinic (8%)

3. P(B) is the likelihood of testing positive for HIV, which can be calculated utilizing the law of adding up to likelihood:

P(B) = P(B|A) * P(A) + P(B|A') * P(A')

where

1. P(B|A') is the likelihood of testing positive for HIV given that the persistent isn't tainted with HIV (4%)

2. P(A') is the complement of A, i.e., the likelihood of a quiet not being tainted with HIV (1 - 8% = 92%)

Substituting the values we have:

P(B) = 0.97 * 0.08 + 0.04 * 0.92 = 0.0736

P(B) =  0.0736

Hence,

P(A|B) = 0.97 * 0.08 / 0.0736 ≈ 0.104

P(A|B) = 0.104

So the likelihood that understanding testing positive for HIV with this test is tainted with HIV is almost 0.104 or 10.4% (adjusted to three decimal places). 

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Answer:

Option (3)

Step-by-step explanation:

Option (3) is not an equation. It is an expression. An equation is a mathematical statement where two expressions are equal to each other connected by an equal sign. In option (1), 3+1 is equal to 4+0 so it is an equation. In option (2), x2-2x is equal to 8, so it is also an equation. In option (4), 1+3 is equal to 6, so it is an equation, though it is not a true statement. However, in option (3), there is no equal sign, so it is not an equation. It is an expression that simplifies to 8x+2.

The horizontal asymptote of the function f(x) = 2ˣ is y = 0.

In Mathematics and Geometry, a horizontal asymptote can be defined as a horizontal line (y = b) where the graph of a function approaches the line as the input values (domain or independent value) approach negative infinity (-∞) to positive infinity (∞).

In this context, the line passing through the ordered pair (0, 1) on the graph of this exponential growth function represents a horizontal asymptote and it has an equation of y = 0, as shown in the image attached above.

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It takes the second marathoner 4 hours and 40 minutes to complete the marathon.

Let's assume the distance of the marathon is "d" miles.

The first marathoner runs at a constant speed for 4 hours, so we can find their speed as:

speed = distance / time = d / 4

The second marathoner starts by running at 4 times the speed of the first marathoner, so their speed is:

speed = 4(d / 4) = d

For the second half of the race, the second marathoner's speed drops to 3/4 of the first marathoner's speed. Let's assume it takes "t" hours for the second marathoner to complete the second half of the race. Then, we can write:

d / 2 = (3/4)(d / 4)(t)

Simplifying this equation, we get:

t = (2/3) hours

So the total time it takes the second marathoner to finish the race is:

4 + (2/3) = 4 2/3 hours = 4 hours and 40 minutes.

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Answer: 24 inches.

Step-by-step explanation:

We can use the formula for the area of a triangle to solve for the length of the base:

A = (1/2)bh

where:

A = the area of the triangle (in this case, 72 square inches)

b = the length of the base (what we're trying to find)

h = the height of the triangle (in this case, 6 inches)

Plugging in the values we know, we get:

72 = (1/2)b(6)

72 = 3b

b = 24

Therefore, the length of the base of the triangle is 24 inches.

Answer:

x = 3.5 pages per minute

Step-by-step explanation:

We make the relationship

21 pages ------ 6 min

x pages -------- 1 min

So x= (21x1)/(6)

x = 3.5 pages per minute

[tex]cos^2(x) = cos^2(x)[/tex].

This equation is true for all values of x, so the solution is:
x ∈ ℝ (x is any real number).

To solve the equation[tex]cos^2(x)[/tex]= (power reducing formula),

we need to replace [tex]cos^2(x)[/tex] with the power reducing formula.

The power reducing formula for [tex]cos^2(x)[/tex] is:
[tex]cos^2(x) = (1 + cos(2x)) / 2[/tex]
Now, let's solve the equation:
[tex](1 + cos(2x)) / 2 = cos^2(x)[/tex]
We want to find x when this equation is true.

Since the left side is the power reducing formula for [tex]cos^2(x)[/tex],

we can simply write:
[tex]cos^2(x) = cos^2(x)[/tex].

The power reducing formula is a trigonometric identity that allows you to express a trigonometric function of a higher power in terms of a trigonometric function of a lower power.

It is most commonly used for reducing the power of the sine and cosine functions.

The power reducing formula for cosine is:

[tex]cos^2(x) = (1 + cos(2x))/2[/tex]

The power reducing formula for sine is:

[tex]sin^2(x) = (1 - cos(2x))/2[/tex]

These formulas can be derived using the Pythagorean identity, which states that [tex]sin^2(x) + cos^2(x) = 1.[/tex]

By solving for either [tex]sin^2(x) or cos^2(x)[/tex] in terms of the other, and then using the double angle formula for cosine [tex](cos(2x) = cos^2(x) - sin^2(x)),[/tex]we can arrive at the power reducing formulas.

The power reducing formulas can be used to simplify trigonometric expressions and make them easier to work with.

For example, if you have an expression such as [tex]sin^4(x)[/tex], you can use the power reducing formula for sine to express [tex]sin^4(x)[/tex] in terms of [tex]sin^2(x),[/tex]and then use the power reducing formula for cosine to express [tex]sin^2(x)[/tex]in terms of cos(2x).

This can make the expression simpler and easier to integrate or differentiate.

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The estimated standard error and measures of effect size such as r2 and Cohen's d larger variance increases the standard error but decreases measures of effect size. B.

Larger variance increases the standard error but decreases measures of effect size.

The standard error is a measure of how much the sample mean is likely to vary from the true population mean.

It is calculated as the standard deviation of the sample divided by the square root of the sample size.

If the sample variance is large, the standard deviation of the sample will also be large, resulting in a larger standard error.

Measures of effect size, such as r2 and Cohen's d, indicate the strength of the relationship between variables or the size of the difference between groups, respectively.

Larger sample variances indicate greater variability in the data, which can make it more difficult to detect significant effects.

This can result in smaller effect sizes, as the magnitude of the effect is reduced relative to the variability in the data.

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Answer:

D) a trapezoid with congruent diagnols

Explanation:

When none of the sides of a trapezoid are congruent, then it is a non isosceles trapezoid or a scalene trapezoid.

Answer:

the table is analysis swap around

Step-by-step explanation:

like if the input is (3,1) the output will be (1,3)

The length of the radius of the cylinder with a volume of 490π cubic inches and a height of 10 inches is 7 inches.

The formula for the volume of a cylinder is V = πr²h,in which r= radius , h= cylinder height. Now we can rearrange formula by equating for r which gives the following formula:

V = πr²h

r² = V/(πh)

r = √(V/(πh))

By putting the values in the formula we can get:

r = √(490π/(π*10))

r = √49

r = 7

Therefore, the length of the radius is 7 inches.

Cylinder's volume can be viewed as the area that it takes up. It is computed by dividing the cylinder's height by the base's area, which is a circle. In this instance, we are informed that the height is 10 inches and the capacity is 490 cubic inches.

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A threat to internal validity occurs only if a potential design confound varies systematically with the independent variable.

In experimental research, an independent variable is a variable that the researcher manipulates or systematically varies in order to study its effect on the dependent variable. It is called "independent" because it is not influenced by any other variables in the experiment, and its effects on the dependent variable can be observed and measured independently of any other factors.

Only when a possible design confound fluctuates systematically with the independent variable does internal validity come under threat. In other words, it might be challenging to distinguish between the effects seen on the dependent variable and the independent variable if there is a component that fluctuates consistently or predictably with changes in the independent variable. Internal validity is less likely to be threatened by random or unplanned variation.

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A threat to internal validity occurs only if a potential design confound varies systematically with the independent variable. This means that if the confound varies randomly or haphazardly, it is less likely to affect the results of the study.

This means that the confound is consistently related to the independent variable, making it difficult to determine if the observed effects are due to the independent variable or the confound. If the confound varies spontaneously or haphazardly, it is less likely to pose a threat to internal validity, as it would not be consistently associated with the independent variable.

However, if the confound is related to the independent variable in a consistent and predictable way, it can introduce bias and undermine the internal validity of the study. It is important for researchers to carefully control for potential confounds and ensure that any observed effects are truly due to the independent variable and not some other factor.

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The polynomial p(x) has option (c) three real zeros because it has a relative maximum at (-2, 4), a relative minimum at (1,1), a relative maximum at (5,7), and a negative leading coefficient.

Since p(x) has a relative maximum at (-2, 4), a relative minimum at (1,1), and a relative maximum at (5,7), it means that the degree of the polynomial must be odd and at least three.

Moreover, we know that p(x) has no other critical points. This means that p(x) does not change sign between these relative extrema, which in turn implies that there are no real zeros between these extrema.

Therefore, the number of real zeros of p(x) is either one or three. To determine the answer, we need to consider the leading coefficient of p(x).

If the leading coefficient is positive, then p(x) must eventually increase on both ends, since the degree is odd. This means that there is exactly one real zero.

If the leading coefficient is negative, then p(x) must eventually decrease on both ends. In this case, since there are three relative extrema, there must be three real zeros.

Thus, we need to find the sign of the leading coefficient of p(x). This can be done by looking at the relative extrema.

Since p(x) has a relative maximum at (-2, 4), we know that the leading coefficient is negative.

Therefore, the correct option is (c) three.

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A polynomial with n turning points has a degree of at least n + 1. Therefore, the polynomial p(x) must have a degree of at least 4. Since a polynomial of degree 4 can have up to 4 real zeros, the answer is d) four real zeros.

A polynomial p(x) has a relative maximum at (-2, 4), a relative minimum at (1, 1), and a relative maximum at (5, 7), with no other critical points. This means there are turning points at these coordinates. Since there are two relative maxima and one relative minimum, the polynomial must have at least 3 turning points.

A polynomial with n turning points has a degree of at least n + 1. Therefore, the polynomial p(x) must have a degree of at least 4. Since a polynomial of degree 4 can have up to 4 real zeros, the answer is d) four real zeros.

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The complete sequence are 2, 3, 5, 8, 12, 17, 23, 30 38, 47, 1024, 512, 256, 128, 64 and 32.

Looking at the pattern, we can find the next two numbers in the sequence. All we need to do is notice that each term in the sequence is obtained by dividing the previous term by 2.

To get term after 128, we cam divide 128 by 2 which will give us:

= 128 / 2

= 64

To get term after 64, we divide 64 by 2 which give us:

= 64 / 2

= 32

Therefore, the last two numbers in the sequence are 64 and 32.

Full question: Find the last 2 numbers after the sequence of "2, 3, 5, 8, 12, 17, 23, 30 38, 47, 1024, 512, 256, 128, __ and ___.

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