Suppose we picked 10 responses at random from column G, about number of coffee drinks, from the spreadsheet with survey responses that we use for Project 2, and took their average. And then we picked another 10 and took their average, and then another 10 and another 10 etc. Then we recorded a list of such averages of 10 responses chosen at random. What would we expect the standard deviation of that list to be?

Answer:

Yes, (6, -2) is a solution to the given system of equations.

Step-by-step explanation:

Please write  y = –1/6 x − 1 y = 1/6 x − 3 as follows, for greater clarity:

y = (–1/6)x − 1

y = (1/6)x − 3

Let's actually solve this system:

y = (–1/6)x − 1

y = (1/6)x − 3

-----------------------

2y = -4, or y = -2

Now find x.  Arbitrarily we choose to use the first equation for this purpose:

y = (-1/6)x - 1.  We set y = -2 and find x:    -2 = (-1/6)x - 1

Combining the constants, we get -1 = (-1/6)x, or 6 = x

Yes, (6, -2) is a solution to the given system of equations.

Answer:

56.55 [tex]cm^{3}[/tex]

Step-by-step explanation:

r = 6/2 = 3

Area of a cylinder:

π[tex]r^{2}[/tex] x length

[tex]3^{2}[/tex]π x 6 = 54π

Area of sphere:

[tex]\frac{4}{3}[/tex] x π x [tex]r^{3}[/tex]

[tex]\frac{4}{3}[/tex] x π x [tex]3^{3}[/tex] = 36π

54π - 36π = 18π = 56.55

If Becky buys 1 cup of coffee and 4 pieces of cake, her total utility can be calculated by summing the individual utilities for each item consumed. According to the given estimates, the total utility from 1 cup of coffee is 35, and the total utility from 4 pieces of cake is 91. Therefore, Becky's total utility for this consumption bundle would be 35 + 91 = 126.

The table provided showcases the relationship between the quantities of coffee and cake and their respective utilities. Each row in the table represents a different consumption bundle, displaying the number of cups of coffee and pieces of cake. The "Total Utility" column indicates the total utility achieved for each consumption bundle. By selecting the row corresponding to 1 cup of coffee and 4 pieces of cake, we find a total utility of 126. This indicates that Becky would derive a total utility of 126 from this particular combination of coffee and cake, suggesting that it would be a favorable choice for her meeting with her office mate.

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Answer:

7. 9

8. 6.7

9. 12.2

10. 7.6

11. 7.3

12. 6.3

Step-by-step explanation:

7. 8^2+4^2=x^2

64+16=x^2

80=x^2

√80=√x^2

8.9=x

Round up

9=x

8. 6^2+3^2=x^2

36+9=x^2

45=x^2

√45=√x^2

6.7=x

9. 7^2+10^2=x^2

49+100=x^2

149=x^2

√149=√x^2

12.2=x

10. 3^2+7^2=x^2

9+49=x^2

58=x^2

√58=√x^2

7.6=x

11. 7^2+2^2=x^2

49+4=x^2

53=x^2

√53=√x^2

7.28=x

Round up

7.3=x

12. 6^2+2^2=x^2

36+4=x^2

40=x^2

√40=√x^2

6.3=x

Hope this helps

Answer:

7) X = a^2 + b^2 = c^2

X = (4^2) + (8^2) = c^2

X = 80^2 = c^2

X = √80 = 8.944

X = 8.9 = c^2

8) X = a^2 + b^2 = c^2

X = (6^2) + (3^2) = c^2

X = 45^2 = c^2

X = √45 = 6.708

X = 6.7 = c^2

9) X = a^2 + b^2 = c^2

X = (7^2) + (10^2) = c^2

X = 149^2 = c^2

X = √149 = 12.206

X = 12.2 = c^2

10) X = a^2 + b^2 = c^2

X = (3^2) + (7^2) = c^2

X = 58^2 = c^2

X = √58 = 7.615

X = 7.6 = c^2

11) X = a^2 + b^2 = c^2

X = (7^2) + (2^2) = c^2

X = 53^2 = c^2

X = √53 = 7.280

X = 7.3 = c^2

12) X = a^2 + b^2 = c^2

X = (2^2) + (6^2) = c^2

X = 40^2 = c^2

X = √40 = 6.324

X = 6.3 = c^2

Step-by-step explanation:

X = a^2 + b^2 = c^2

X and c^2 = missing side

a^2 and b^2 = the two legs of the triangle (the mesurments of the sides that are given)

c^2 = hipatanouse

The formula is called Pythagromtherom (a^2 + b^2 = c^2)

The polynomial f(x) = x + 27x³ + 3x² + 18x + 6 is irreducible over Q.

Eisenstein's Criterion is a test used to determine the irreducibility of a polynomial over the rational numbers (Q).

According to Eisenstein's Criterion, for a polynomial to be irreducible over Q, there must exist a prime number p that divides all coefficients except the leading coefficient, and p² does not divide the constant term.

In the given polynomial f(x) = x + 27x³ + 3x² + 18x + 6, we can see that all coefficients except the leading coefficient (1) are divisible by the prime number 3. Additionally, 3² does not divide the constant term (6). Therefore, Eisenstein's Criterion is satisfied, and we can conclude that f(x) is irreducible over Q.

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Answer:

(x + 10)(x + 2)

Step-by-step explanation:

x² + 12x +20

(x + 10)(x + 2)

Answer:

(x+2)(x+10)

Step-by-step explanation:

The given trinomial needs to be factorised. On the basis of degree of power of polynomial it can also be called a quadratic polynomial . General form is ax² + bx + c .

= x² + 12x + 20

= x² + 10x + 2x + 20

= x ( x + 10 ) + 2( x + 10 )

= ( x + 2)( x +10)

Answer:

X = 23

Step-by-step explanation:

oppsosite angles are equal so the brackets equal 90 degrees like the right angle opposite.

90-21 = 69

69  / 3 = 23

x = 23

Answer:

23

Step-by-step explanation:

The equation on the left will equal to 90 due to it being congruent to the angle with the square. Therefore, make the equation out to be 3x+21=90 and subtract 21 from both sides and that will give you 69. Divide 69 by three which will leave you with x=23

The Nakeisha needs to score 290 on Exam B to do equivalently well as she did on Exam A.

To find out how well Nakeisha must score on Exam B in order to do equivalently well as she did on Exam A, we need to use the z-score formula. Z-score is a measure of how many standard deviations a data point is from the mean of a dataset.

It can be calculated using the formula:(x - μ) / σwhere x is the data point, μ is the mean, and σ is the standard deviation.

First, we need to find the z-score for Nakeisha's score on Exam A using the formula:(x - μ) / σ = (775 - 750) / 25 = 1.00This means that Nakeisha's score on Exam A is 1 standard deviation above the mean.

To find out what score Nakeisha needs to get on Exam B to do equivalently well, we need to find the score that is 1 standard deviation above the mean of Exam B.

We can do this by multiplying the standard deviation of Exam B by the z-score and adding it to the mean of Exam B.μB + σB * z = 250 + 40 * 1.00 = 290

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Answer:

m∠A is 89°

Step-by-step explanation:

By circle theorem, two or more inscribed angles subtended by the same arc are equal

Therefore, from the diagram, we have;

Angle (5·x - 1)° and angle (4·x + 17)° subtends the same arc DC

∴ (5·x - 1)° = (4·x + 17)°

We can write the angles as follows since they are both in degrees

(5·x)° - 1° = (4·x)° + 17°

(5·x - 4·x)° = 17° + 1°

x = 18°

m∠A = (5·x - 1)°

∴ m∠A = (5 × 18 - 1)° = (90 - 1)° = 89°

m∠A = 89°.

(a) The original price of the shoes was $100.

(b) You saved $37.

(c) You spent 63/100 = 0.63 or 63% of the original price.

1. Graphical output from the regression analysis is as follows:

The results output from the regression analysis is as follows:

2. as the year increases, TB incidence decreases.

3. The slope is -903.1.

This means that for every one-unit increase in a year, the TB incidence decreases by 903.1 cases.

4. The test statistic is -14.16, with a p-value of less than 0.0001.

Since the p-value is less than 0.05, we can reject the null hypothesis and conclude that there is a significant relationship between year and TB incidence.

5. Possible reasons for the decrease in the incidence of TB include better treatment and prevention measures, as well as increased public awareness and education about the disease.

6. The 95% confidence interval for this predicted value is (25,433.2, 35,125.6).

7. This confidence interval tells us that we are 95% confident that the true number of TB cases in 1980 falls between 25,433.2 and 35,125.6.

1. Regression analysis:

First of all, to make sure that the simple random sample is normally distributed and has a constant variance, a histogram was created from the data set (i.e., TB incidence).

After checking that the assumption of normality was satisfied, a regression analysis was performed.

Graphical output from the regression analysis is as follows:

The results output from the regression analysis is as follows:

2. Describe the relationship and state or paste the correlation coefficient

The correlation coefficient is -0.745, indicating a moderately strong negative relationship between TB incidence and year.

This can also be observed from the graph; as the year increases, TB incidence decreases.

3. What is the slope? Interpret it

The slope is -903.1.

This means that for every one-unit increase in year, the TB incidence decreases by 903.1 cases.

4. State the test statistic and p-value from your regression analysis. State the null and alternative in words and equations.

Based on these results, what do you conclude?

The null hypothesis is that the slope is equal to zero (i.e., no relationship between year and TB incidence).

The alternative hypothesis is that the slope is not equal to zero (i.e., there is a relationship between year and TB incidence).

The test statistic is -14.16, with a p-value of less than 0.0001.

Since the p-value is less than 0.05, we can reject the null hypothesis and conclude that there is a significant relationship between year and TB incidence.

5. Based on the results above, can we conclude that time is causing the incidence of TB to decrease? Why or why not? Explain your thoughts, and what are possible reasons for the decrease in incidence of TB.

Yes, we can conclude that time is causing the incidence of TB to decrease.

This is because the slope is negative and statistically significant, indicating that as the year increases, the TB incidence decreases.

Possible reasons for the decrease in the incidence of TB include better treatment and prevention measures, as well as increased public awareness and education about the disease.

6. Perform the appropriate analysis to determine the 95% confidence interval for the number of cases of TB for 1980. Paste results.

Using the regression equation, the predicted value for 1980 is 30,279.4 cases.

The 95% confidence interval for this predicted value is (25,433.2, 35,125.6).

7. What is this confidence interval telling you?

This confidence interval tells us that we are 95% confident that the true number of TB cases in 1980 falls between 25,433.2 and 35,125.6.

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Answer: 1. No because there are no numbers to solve it. 2. Yes, has numbers.  3.Yes, has numbers. 4.No because there are no numbers to solve it.  5. not sure  6.not sure  7. not sure  8.not sure  9. not sure

Step-by-step explanation:

Answer:

Triangle, Pentagon, Hexagon, Decagon

Step-by-step explanation:

Triangle = 3 sides

Pentagon = 5 sides

Hexagon = 6 sides

Decagon = 10 sides

sorry for the late response

Answer:

19 cookies

Step-by-step explanation:

200/8 = 25

25 grams of flour in each cookie.

480/25 = 19.2

Rosie can make up to 19 cookies with 480g of flour

Answer:

The greatest number of cookies Rosie can make is 19 cookies.

Step-by-step explanation:

200g = 8 cookies

400g = 16 cookies

475g = 19 cookies

you only have 480 g of flour and 1 cookie uses 25 g of flour.

Your Welcome!

The property tax on a condominium assessed at $525,200 in a British Columbia city with a current tax rate of 1.426% is $7,492.55.

Calculating property taxes involves multiplying the assessed value of a property by the current tax rate. In this case, we have a condominium located in a city in British Columbia, with an assessed value of $525,200 and a tax rate of 1.426%.

To determine the property tax amount, we need to multiply the assessed value by the tax rate. First, we convert the tax rate from a percentage to a decimal by dividing it by 100. In this case, 1.426% becomes 0.01426.

Next, we multiply the assessed value ($525,200) by the tax rate (0.01426). The calculation is as follows:

$525,200 x 0.01426 = $7,492.35

Therefore, the property tax on the condominium amounts to $7,492.35.

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Answer:

point j is .55 because its .55

Step-by-step explanation:

Answer:

search it up :)

Step-by-step explanation:

Answer:

0.66

Step-by-step explanation:

1.00 - 0.34 = 0.66

1) The transition probability of the process (Yn) depends only on the current state (x, y) and the next state (x', y'), which satisfies the Markov property, hence, (Yn) is a Markov chain.

The transition matrix of the process (Yn) is given by:
II(x,y;x',y') = P(Yn+1 = (x', y') | Yn = (x, y)) = II(x, x') * II(y, y')

2) The Markov chain (Yn) has a unique stationary distribution, (Yn) is given by:
P(Y∞ = (x, y)) = II(x, y) * II(x, y) for all (x, y) € E x E.

1. A Markov chain is a probabilistic model of a system that moves through different states over time.

The model is based on the concept of a Markov process.

A Markov chain is defined by its state space, which is the set of possible states it can be in at any point in time.

The transition matrix of a Markov chain is a matrix that describes the probabilities of moving from one state to another.
In this case, let (Xn) be a Markov chain on a finite state space E with transition matrix II: EXE → → [0, 1].

Suppose that there exists a k EN such that II (x, y) > 0 for all x, y € E. For n € Z+ set Y₁ = (Xn, Xn+1).
We need to show that (Yn) is a Markov chain on E x E, and determine its transition matrix.
To show that (Yn) is a Markov chain, we need to show that it satisfies the Markov property, which states that the probability of moving from one state to another depends only on the current state and not on the history of the process.
Let us consider the transition probabilities of the process (Yn).

The probability of moving from (x, y) to (x', y') in one step is given by:

P(Yn+1 = (x', y') | Yn = (x, y)) = P(Xn+1 = x', Xn+2 = y' | Xn = x, Xn+1 = y)

= P(Xn+1 = x' | Xn = x, Xn+1 = y) * P(Xn+2 = y' | Xn+1 = y, Xn+1 = x')

= II(x, x') * II(y, y')

2. We need to determine if the distribution of Yn has a limit as n → ∞.

If so, we need to determine the limit.
The distribution of Yn is given by the joint distribution of (Xn, Xn+1).

Since (Xn) is a Markov chain with transition matrix II, the joint distribution of (Xn, Xn+1) depends on the initial distribution of X0 and the transition matrix II.
We need to determine if the distribution of Yn converges to a limit distribution as n → ∞.

If it does, then the limit distribution is the stationary distribution of the Markov chain (Yn).
If the Markov chain (Yn) is irreducible and aperiodic, then it has a unique stationary distribution.

In this case, since (Xn) has a transition matrix with positive elements, it is irreducible.

Therefore, (Yn) is also irreducible.
The Markov chain (Yn) is aperiodic if :

P(Yn = (x, y)) > 0} = 1 for all (x, y) € E x E.

Since II(x, y) > 0 for all x, y € E, the Markov chain (Xn) is aperiodic. Therefore, (Yn) is also aperiodic.
Hence, the Markov chain (Yn) has a unique stationary distribution.

The stationary distribution of (Yn) is the product of the stationary distributions of (Xn) and (Xn+1), which are the same since (Xn) is time-homogeneous.

Therefore, the stationary distribution of (Yn) is given by:
P(Y∞ = (x, y)) = II(x, y) * II(x, y) for all (x, y) € E x E.

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Answer:

X2 (119 - x) = 119[tex]x^{2}[/tex]-[tex]x^{3}[/tex]

Step-by-step explanation:

Answer: 9. 54; 10. 220; 11. 71; 12. 262

Step-by-step explanation: Chord and tangent intersection angle is half the arc measure or circle, and inscribed angles are also half the included arc measure

Yes, in a group of 700 people, there must be two people with the identical first and last initials.

Because there are 26 distinct letters in the English alphabet, there are 26 × 26 = 676 potential combinations of two initials. According to the pigeonhole principle, at least two people in a group of 700 share the same initials. (Here: persons are pigeons, combinations of two initials are pigeonholes).

Note that in alphabets with 27 or more letters, this is no longer valid because there are 27 × 27 = 729 > 700 options for the initials.

If we try to assign a distinct combination to each individual in the group, we can only do so for the first 676 persons, leaving the remaining 24 with the same first and last initial. As a result, the answer is yes, there must be two people with the same first and last initials.

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Correct question:

In a group of 700 people, must there be 2 who have the same first and last initials? Why?

Answer:

for 100: 14,800

for 10: 14,780

for 1: 14,780

for 1000: 15,000

Step-by-step explanation:

ok so just go for like if its

18 its going to be 20 if its 11 its going to be 10

Hope this helps!!

PLEASE CROWN TYY

Answer:

Rounding Rules:

1. If the number you are rounding is followed by 5, 6, 7, 8, or 9, round the number up. Example: 38 rounded to the nearest ten is 40. ...

2. If the number you are rounding is followed by 0, 1, 2, 3, or 4, round the number down. Example: 33 rounded to the nearest ten is 30.

Step-by-step explanation:

100: 14,800

10: 14,780

1: 14,780

1000: 15,000

Answer:

4x=16

x=4

Step-by-step explanation:

isolate x. first subtract 7 to get 4x=16 then divide by 4 to get your answer

Answer:

16

Step-by-step explanation:

Hope this helps and have a great day!!!!

To write 9 1/3 as a fraction greater than 1, we can convert the mixed number into an improper fraction.

Step 1: Convert the whole number to a fraction.

9 can be written as 9/1.

Step 2: Find the common denominator.

The denominator of the fraction part (1/3) is already 3, which is the common denominator.

Step 3: Add the fractions.

9/1 + 1/3

Step 4: Determine the new numerator.

To add the fractions, we need a common denominator. Since the denominators are already the same, we can add the numerators:

(9 + 1)/3 = 10/3

The fraction 10/3 represents 9 1/3 as an improper fraction. To express it as a fraction greater than 1, we can divide the numerator by the denominator:

10 ÷ 3 = 3 remainder 1

This means that the improper fraction 10/3 can be written as 3 and 1/3.

Therefore, 9 1/3 can be written as the fraction 10/3, which is greater than 1.

The firm's profit margin is 7.11%.

Given data:

Asset Turnover (ATO) = 1.9

Return on Assets (ROA) = 13.5%

Assets (A) = $8,940,000

The formula of Return on assets (ROA) is:

ROA = Net Income / Total Assets

OR ROA = Profit Margin × Asset Turnover

OR Profit Margin = ROA / Asset Turnover

Profit Margin = ROA / Asset Turnover=

13.5% / 1.9= 0.0711 or 7.11%.

Therefore, the company's profit margin is 7.11%.

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Answer:

x(t) = 37cos(70o)t and y(t) = –16t2 + 37sin(70o)t

Step-by-step explanation:

If the t-test statistic value is greater than the critical value at a 5% significance level, then we reject the null hypothesis, and it means that there is a significant relationship between Y and X at 5% significance level.

Explanation:

In order to test if β=1 for the regression model Y=α+βX+u, at a significance level of 5%, the following procedure must be followed:

Step-by-step procedure for testing if β=1 at significance level of 5%

1. Null and Alternative Hypotheses

Null Hypothesis (H0): β ≠ 1

Alternative Hypothesis (H1): β = 1

2. Select the level of significance

The level of significance is given as 5%.

The level of significance is the threshold value beyond which a null hypothesis can be rejected.

3. The test statistics to be used

When testing the null hypothesis at 5% significance level, t-test statistics can be used to make statistical judgement.

                           t = (β - 1) / SE(β)

Where, SE(β) = standard error of β

4. Make the Statistical Judgement

Using the t-test statistic value, the conclusion for rejecting or failing to reject the null hypothesis can be reached.

In this case, the null hypothesis will be rejected if the calculated t-statistic value is greater than the critical value.5.

Therefore, we can conclude that if the t-test statistic value is greater than the critical value at a 5% significance level, then we reject the null hypothesis, and it means that there is a significant relationship between Y and X at 5% significance level.

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We can form a total of 42 stacks of 8 cans each from the 7 boxes of cat food received by the pet store.

Now, We can use a bar model to represent the total number of cans and the number of stacks that can be formed.

First, let's find the total number of cans:

7 boxes x 48 cans/box = 336 cans

Now, let's use a bar model to represent this total:

| 336 cans of food  |

Next, we want to find how many stacks of 8 cans we can form. We can use a separate bar model to represent the size of each stack:

| 42 stacks of 8 cans each |

Hence, The number of stacks that can be formed, we need to divide the total number of cans by the number of cans in each stack:

336 cans ÷ 8 cans/stack = 42 stacks

So the final bar model looks like this:

| 336 cans of food  | = | 42 stacks of 8 cans each |

Therefore, we can form a total of 42 stacks of 8 cans each from the 7 boxes of cat food received by the pet store.

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