A T-shirt stand on the boardwalk recently sold 6 purple shirts and 9 shirts in other colors. What is the experimental probability that the next shirt sold will be purple?
Write your answer as a fraction or whole number.

Answer:

The correct answer is:

a. There were 77% of the entries with a score less than 68.

Step-by-step explanation:

The 77th percentile of the distribution of all the scores means that 77% of the entries had a score lower than 68, and 23% had a score equal to or greater than 68.

So option a is the best description of the 77th percentile. Option b is incorrect because it describes the complement of the 77th percentile (i.e., the percentage of entries with a score greater than 68). Option c is incorrect because it describes a single score,

whereas the percentile refers to a percentage of the distribution. Option d is incorrect because it provides a specific number of entries with a score less than 68, which may or may not be true,

but it doesn't address the percentile of the distribution.

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Answer:

The mass of the car rounded to the nearest kilogram is 1990 kg, which has an error interval of 1989.5 kg ≤ car mass < 1990.5 kg.

The mass of the person rounded to 1 decimal place is 58.7 kg, which has an error interval of 58.65 kg ≤ person mass < 58.75 kg.

To find the error interval for the combined mass, we need to add the lower and upper bounds of the two intervals:

1989.5 kg + 58.65 kg = 2048.15 kg

1990.5 kg + 58.75 kg = 2049.25 kg

Therefore, the error interval for the combined mass, m, of the car and the person is: 2048.15 kg ≤ m < 2049.25 kg

Answer:

To find the error interval for the combined mass of the car and the person, we need to consider the possible maximum and minimum values for the masses.

For the car, since it is rounded to the nearest kilogram, the actual mass could be anywhere between 1989.5 kg and 1990.5 kg.

For the person, since it is rounded to 1 decimal place, the actual mass could be anywhere between 58.65 kg and 58.75 kg.

To find the maximum and minimum combined masses, we add the maximum possible mass of the car (1990.5 kg) to the maximum possible mass of the person (58.75 kg) and we add the minimum possible mass of the car (1989.5 kg) to the minimum possible mass of the person (58.65 kg):

Maximum combined mass = 1990.5 kg + 58.75 kg = 2049.25 kg

Minimum combined mass = 1989.5 kg + 58.65 kg = 2048.15 kg

Therefore, the error interval for the combined mass, m, of the car and the person is:

2048.15 kg ≤ m < 2049.25 kg

The maximum height of the toy plane is approximately 6.5 meters. Option A is correct.

The maximum height of the toy plane can be determined using the laws of motion and basic kinematics.

The equation for the height of the toy plane as a function of time, assuming no air resistance, can be represented by a quadratic equation in the form of;

h(t) = [tex]h_{0}[/tex] + [tex]V_{0}[/tex]t - (1/2)[tex]gt^{2}[/tex]

where; h(t) is the height of the plane at time t,

[tex]h_{0}[/tex] is the initial height (given as 4 meters),

[tex]V_{0}[/tex] is the initial velocity (given as 7 meters per second),

g is the acceleration due to gravity (which is approximately 9.8 m/s² on Earth), and

t is the time.

To find the maximum height of the plane, we need to determine the time at which the plane reaches its highest point. At this point, the vertical velocity of the plane becomes zero, before it starts to fall back to the ground.

The vertical velocity of the plane can be represented as;

[tex]V_{(t)}[/tex] = [tex]V_{0}[/tex]  -  [tex]g_{t}[/tex]

Setting v(t) to zero and solving for t, we get:

0 =[tex]V_{0}[/tex]  - [tex]g_{t}[/tex]

[tex]g_{t}[/tex] = [tex]V_{0}[/tex]

t = [tex]V_{0}[/tex]  / g

Substituting the given values for [tex]V_{0}[/tex]  and g into the equation;

t = 7 m/s / 9.8 m/s²

t ≈ 0.714 seconds

So, the time taken for the toy plane to reach its highest point is approximately 0.714 seconds.

Now, we can substitute this value of t into the equation for h(t) to find the maximum height of the plane;

[tex]h_{(t)}[/tex]  =  [tex]h_{0}[/tex] + [tex]V_{0}[/tex] t - (1/2)[tex]gt^{2}[/tex]

[tex]h_{(t)}[/tex] = 4 m + 7 m/s × 0.714 s - (1/2) × 9.8 m/s² × (0.714 s)²

Calculating the above expression, we get:

[tex]h_{(t)}[/tex]  ≈ 6.46 meters

Therefore, the maximum height of the toy plane is near by 6.5 meters.

Hence, A. is the correct option.

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An expression that represents the length of one side of the square is √(12x/35).

In Mathematics and Geometry, the area of a square can be calculated by using this mathematical equation (formula);

A = x²

Where:

By substituting the given parameters into the formula for the area of a square, we have the following;

-12x + 36x² = x²

36x² - x² = 12x

35x² = 12x

x = √(12x/35)

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Answer:

44 degrees

Step-by-step explanation:

To solve this problem you can subtract 70 by 26. You can do this because those two angles add to the more significant angle. Therefore, to solvr this all you have to do is subtract 70-26. Doing so gives you your answer of 44 degrees

One-way ANOVA is applied to independent samples taken from three normally distributed populations with equal variances. The null hypothesis for this procedure is:

H0: μ1 = μ2 = μ3

This means that there are no significant differences between the means of the three normally distributed populations.

One-way ANOVA: One-way ANOVA is a statistical test used to compare the means of three or more independent groups.

Null hypothesis: The null hypothesis for one-way ANOVA is that the means of all the groups are equal.

Alternative hypothesis: The alternative hypothesis, which is accepted if the null hypothesis is rejected, is that at least one of the population means is different from the others.

In this case, the alternative hypothesis is: Ha: At least one of the means is different Test statistic: The test statistic used in one-way ANOVA is the F-statistic.

A small p-value (usually less than 0.05) indicates strong evidence against the null hypothesis.

Decision: If the p-value is less than the significance level (usually 0.05), we reject the null hypothesis and conclude that at least one of the population means is different from the others.

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To find the rate of depreciation after 2 years, we need to find the derivative of this function at t = 2.
V(t) = 23,351(0.783)^t
V'(t) = 23,351(0.783)^t * ln(0.783)  [Using the chain rule]

V'(2) = 23,351(0.783)^2 * ln(0.783) ≈ -2,346.29

Since we are interested in the absolute value of the rate of depreciation, we can ignore the negative sign. Therefore, the car is depreciating at $2,346.29 per year (rounded to the nearest cent).

Note that this is the instantaneous rate of depreciation at t = 2. The average rate of depreciation over the first two years would be the difference in resale value divided by the number of years, which would be:

[(23,351(0.783)^2) - 23,351] / 2 ≈ $2,336.67 per year
Hi! To find the rate of depreciation after 2 years, we need to first determine the resale value of the car after 2 years and then find the difference in value per year. Here's a step-by-step explanation:

1. Plug in the given years (t=2) into the formula for the estimated resale value: V(t) = 23,351(0.783^t)
2. Calculate the resale value after 2 years: V(2) = 23,351(0.783^2) ≈ 14,342.76 (rounded to the nearest cent)
3. Find the depreciation value by subtracting the resale value from the initial value: Depreciation = Initial Value - Resale Value = 23,351 - 14,342.76 ≈ 9,008.24
4. Calculate the rate of depreciation per year: Rate of Depreciation = Depreciation / Years = 9,008.24 / 2 ≈ 4,504.12

The car is depreciating at approximately $4,504.12 per year after 2 years, rounded to the nearest cent.

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The y-coordinate of the point that partitions segment AC into a 1:2 ratio is given as follows:

y = 5.

The y-coordinate of the point that partitions segment AC into a 1:2 ratio is obtained applying the proportions in the context of the problem.

The segment AC is partitioned into a 1:2 ratio, hence the equation for the coordinates of P are given as follows:

P - A = 1/3(C - A).

The coordinates of A and C are given as follows:

A(1,3) and C(6,9).

Hence the y-coordinate of B is obtained as follows:

y - 3 = 1/3(9 - 3)

y - 3 = 2

y = 5.

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Stephen's net income is $287.78.

Stephen earns $11 per hour at his job and worked for 32 hours. The gross income (income before deduction) is:

gross income = 11 * 32 = $352

Stephen's net income is the money left afer deducting federal income tax, Social Security, and Medicare.

Net income = $352 -  $37.30 -  $21.82 -  $5.10

Net income = $287.78

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Amaya made a mistake because 4 is not equal to 5. She incorrectly wrote 4=5 in the final step of solving the equation 8x+4=9+4(2x-1). So, the correct answer is A).

In step 1, Amaya sets up the equation 8x+4=9+4(2x-1).

In step 2, she simplifies the right side of the equation to 9+8x-4=5+8x.

In step 3, she subtracts 8x from both sides of the equation to get 4=5.

In step 4, she simplifies the equation to 4=9-4.

In step 5, she mistakenly writes that 4=5, which is incorrect.

Therefore, the correct choice is that Amaya made a mistake because 4 is not equal to 5. So, the correct option is A).

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The stereo system installer needs 170 ft of speaker wire.

In this case, the two diagonals of the rectangular room are the longest sides of two right triangles. The length of one diagonal can be found by:

d1 = √(40² + 75²)

d1 = √(1600 + 5625)

d1 = √7225

d1 = 85 ft

Similarly, the length of the other diagonal is also 85 ft.

Total speaker wire = 2 × 85 ft = 170 ft

So, the stereo system installer needs 170 ft of speaker wire.

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The margin of error is approximately 3.281 Hz, which means that if we were to repeat this study many times, we would expect the sample mean to be within 3.281 Hz of the true population mean in 99% of the studies.

a) The 99% confidence interval can be calculated as:

lower bound = x - t(α/2, n-1) * s/√n

upper bound = x + t(α/2, n-1) * s/√n

where x is the sample mean, s is the sample standard deviation, n is the sample size, and t(α/2, n-1) is the t-score for the given confidence level and degrees of freedom.

Substituting the given values, we get:

lower bound = 6.857 - t(0.005, 13) * 3.367/√14 ≈ 3.576

upper bound = 6.857 + t(0.005, 13) * 3.367/√14 ≈ 10.138

Therefore, the 99% confidence interval for the average brain wave activity is (3.576, 10.138).

b) The margin of error is given by the formula:

margin of error = t(α/2, n-1) * s/√n

Substituting the given values, we get:

margin of error = t(0.005, 13) * 3.367/√14 ≈ 3.281

Therefore, the margin of error for this interval is approximately 3.281.

c) We can interpret this interval as follows: we are 99% confident that the true average brain wave activity of the population of students who did not consume any wine is between 3.576 Hz and 10.138 Hz. The margin of error is approximately 3.281 Hz, which means that if we were to repeat this study many times, we would expect the sample mean to be within 3.281 Hz of the true population mean in 99% of the studies.

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The area of each of the semicircle is approximately:

a. 9.82 in.²       b. 16.08 in.²

A semicircle is half of a full circle. Therefore, the formula to find the area of a semicircle would be:

Area = 1/2(πr²), where r is the radius of the semicircle.

a. The parameters given are:

Diameter = 5 in.

Radius (r) = 5/2 = 2.5 in.

Area of the semicircle = 1/2(π * 2.5²) ≈ 9.82 in.²

b. The parameters given are:

Diameter = 6.4 in.

Radius (r) = 6.4/2 = 3.2 in.

Area of the semicircle = 1/2(π * 3.2²) ≈ 16.08 in.²

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The correct answer is D. 0.1251.

To determine the p-value, we need to perform a hypothesis test.

Step 1: State the null and alternative hypotheses.

The null hypothesis is that the proportion of the population in favor of Candidate A is 75%.

H0: p = 0.75

The alternative hypothesis is that the proportion of the population in favor of Candidate A is significantly more than 75%.

Ha: p > 0.75

Step 2: Determine the level of significance (alpha).

We are not given a level of significance in the problem statement, so we will assume a level of significance of 0.05.

Step 3: Calculate the test statistic.

We will use the sample proportion, P, to calculate the test statistic:

P = 80/100 = 0.8

The sample size is n = 100, so the standard error of the sample proportion is:

SE = sqrt[p(1-p)/n]

SE = sqrt[0.75(1-0.75)/100]

SE = 0.0433

The test statistic is:

z = (P - p) / SE

z = (0.8 - 0.75) / 0.0433

z = 1.15

Step 4: Calculate the p-value.

We will use the standard normal distribution to calculate the p-value:

p-value = P(Z > 1.15)

p-value = 0.1251

Step 5: Make a decision and interpret the results.

Since the p-value (0.1251) is greater than the level of significance (0.05), we fail to reject the null hypothesis. This means that we do not have sufficient evidence to conclude that the proportion of the population in favor of Candidate A is significantly more than 75%.

Therefore, the correct answer is D. 0.1251.

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Your answer: (c) If the procedure were repeated many times, 95% of the resulting confidence intervals would contain the population mean systolic blood pressure.

The correct interpretation of the given confidence interval is (b) 95% of the population of employees have systolic blood pressure between 122-138. This means that if we take multiple samples of the same size from the population, 95% of the confidence intervals we construct from those samples will contain the true population mean systolic blood pressure.

Option (a) is incorrect as it only talks about the sample employees, not the population.

Option (c) is also incorrect as it talks about repeating the procedure of constructing confidence intervals, not the actual population mean systolic blood pressure.

Option (d) is incorrect as it talks about the probability of the population mean, which is not a valid interpretation of a confidence interval.

Option (e) is also incorrect as it talks about the sample means, not the population mean.

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The experimental probability that the next time Audra rolls the number cube, she will roll a 2 is 3/22.

Experimental probability is the ratio of the number of times an event occurs to the total number of trials conducted. In this case, we want to find the experimental probability of rolling a 2.

Looking at the data provided, we can see that Audra rolled a 2 three times out of the total 22 rolls. So, the experimental probability of rolling a 2 can be calculated as:

Experimental probability = number of times the event occurred / total number of trials

Experimental probability of rolling a 2 = 3 / 22

Therefore, the correct option is (B) 3/22. This means that based on Audra's experiment, the probability of rolling a 2 is approximately 0.136 or 13.6%. It is important to note that this is the experimental probability based on a small sample size, and the actual probability of rolling a 2 in a large number of rolls may differ.

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28°49€  arc unit into time is approximately 1.867 hours.

We'll convert the given angles from degrees, minutes, and seconds (or cents and euros as placeholders) to degrees in decimal form. Then, we'll convert the angle from arc units to time units.

a) 39°50¢
To convert 50¢ to degrees, divide by 60 (since 1 degree = 60 minutes):
50¢ / 60 = 0.8333 (rounded to four decimal places)

So, 39°50¢ in decimal form is:
39 + 0.8333 = 39.8333°

b) 42°35¢
To convert 35¢ to degrees:
35¢ / 60 = 0.5833 (rounded to four decimal places)

So, 42°35¢ in decimal form is:
42 + 0.5833 = 42.5833°

c) 15°20€
To convert 20€ to degrees (1 degree = 3600 seconds):
20€ / 3600 = 0.0056 (rounded to four decimal places)

So, 15°20€ in decimal form is:
15 + 0.0056 = 15.0056°

d) 1°59€
To convert 59€ to degrees:
59€ / 3600 = 0.0164 (rounded to four decimal places)

So, 1°59€ in decimal form is:
1 + 0.0164 = 1.0164°

Now, we'll convert 28°49€ from arc units to time units:
28°49€ = 28 + (49 / 3600) = 28.0136° (in decimal form)

To convert degrees to time units, multiply by 24 (since there are 24 hours in a day) and divide by 360 (since there are 360 degrees in a circle):

28.0136° * (24 / 360) = 1.867 (rounded to three decimal places)

So, 28°49€ in time units is approximately 1.867 hours.

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In a PivotTable, you can group data by date or number field types. To do this, follow these steps:

1. Select your PivotTable by clicking on any cell within it.
2. Choose the date or number field you want to group.
3. Right-click the selected field and click "Group" from the context menu.
4. In the Grouping dialog box, specify the grouping options based on your preferences (e.g., grouping by months, years, or specific intervals).
5. Click "OK" to apply the grouping.

Please note that grouping data by calculated, filtered, logical parameters, text, incremental, or value field types is not directly supported in a PivotTable.

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The required value of x in the given equation is -0.00047.

Let's first simplify the expression inside the parentheses:

-33x+1 = 1-33x

Now, we can substitute this back into the original equation and use order of operations (PEMDAS) to simplify:

4.76 - (23 x 51)-1(-33x+1) = 4.76 - (23/51)(1-33x)

= 4.76 - (23/51) + (23/17)x

Now, we want to solve for x. We'll start by isolating the term with x on one side of the equation:

(23/17)x = 4.76 - (23/51)

x =-0.00047

Therefore, the value of x in the given equation is -0.00047.

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The minimum sample size required by the economist, if he wants to restrict the margin of error to $480, is 37.

To determine the minimum sample size required to estimate the 99% confidence interval for the average real estate taxes collected by a small town in California with a margin of error of $480, we can use the formula:

[tex]n = \frac{[(z-value)^2 (standard deviation)^2] }{(margin of error)^2}[/tex]

The z-value for a 99% confidence interval is 2.576 (using the z table), and the standard deviation of real estate taxes is $1,330.

Plugging in these values, we get:

[tex]n = \frac{[(2.576)^2 (1,330)^2] }{(480)^2}[/tex]
n = 36.54

Rounding up to the nearest whole number, the minimum sample size required is 37.

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Answer:

Step-by-step explanation:

a = b - 7000

0.05a + 0.07b = 1690

Since we have a "value" for a, we can substitute that "value" in place of a.

0.05(b - 7000) + 0.07b = 1690

0.05b - 350 + 0.07b = 1690

0.12b = 2040

b = $17,000

Answer:

87

Step-by-step explanation:

first you need to know the median is the middle of the data set.

so 81, 83, 91, 94 the middle is 83 and 91 but you match inbetween both of those so the answer would be 87.

Hope this helps!! good luck

a) The table of probability is given below.

b) The expected number of suits in a 5-card hand dealt from a standard 52-card deck is 2.345.

We have to choose from four suits, so there are 4 ways to choose which suit we will get. After we have chosen a suit, we need to select 5 cards from that suit.  We can choose any combination of 5 cards from 13 cards as there are 13 cards in each suit. We can calculate this by formula for combinations: C(13,5) = 1287.

We can choose any 5 cards from the 52 cards. This can also be calculated by the formula for combinations: C(52,5) = 2598960.

The probability of getting exactly one suit in a 5-card hand will be

= 4 * C(13,5) / C(52,5) = 0.198.

We can fill the table for all possible values of X using similar calculations

value of X     probability

1    |               0.198

2    |             0.422

3    |             0.308

4    |             0.071

We need to multiply each possible value of X by its probability and then add up the results to compute the expected number of suits in a 5-card hand.

E(X) = Σ (X * P(X))

Here Σ denotes the sum over all possible values of X, and P(X) is the probability of getting X suits. When we apply this formula to the table above, we get:

E(X) = 1 * 0.198 + 2 * 0.422 + 3 * 0.308 + 4 * 0.071

= 2.345

This means that if we were to draw many 5-card hands from the deck, we would expect the average number of suits to be around 2.345.

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The function graphed is defined as follows:

y = -2(x - 2)² + 3.

The equation of a parabola of vertex (h,k) is given by the equation presented as follows:

y = a(x - h)² + k.

In which a is the leading coefficient.

The coordinates of the vertex in this problem are given as follows:

(2,3).

Hence the parameters are h = 2 and k = 3, thus:

y = a(x - 2)² + 3

When x = 0, y = -5, hence the leading coefficient a is obtained as follows:

-5 = 4a + 3

4a = -8

a = -2.

Thus the equation is:

y = -2(x - 2)² + 3.

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The rate of increase in water pressure in  atmospheres 0.000992 atm/km.

To find the rate of increase in water pressure in atm/km, we need to convert the given rate of increase from atm/m to atm/km.

[tex]1 km = 1000 m[/tex]

So, we can convert the given rate of increase as follows:

[tex]0.992 atm/m = (0.992 atm/m)[/tex] × [tex](1000 m/km)[/tex]

[tex]= 992 atm/km[/tex]

Therefore, the rate of increase in water pressure in atm/km is 992 atm/km.

We must convert the stated rate of increase in water pressure from atm/m to atm/km in order to determine the rate of increase in atm/km.

We are aware that 1000 metres make up 1 kilometre. As a result, we can translate the supplied water pressure rise rate from atm/m to atm/km as follows:

[tex]0.000992 atm/km = 0.992 atm/m[/tex] × [tex](1 km/1000 m)[/tex]

0.000992 atm/km is the rate of rise in water pressure as a result.

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Complete Question:

The water pressure on Mustafa as he dives is increasing at a rate of

0. 992, atmospheres left parenthesis, start text, a, t, m, end text, right parenthesis per meter left parenthesis, start text, m, end text, right parenthesis. What is the rate of increase in water pressure in  atmospheres?

To prove that 12 | n^2 - 1 for all values where n = 6k + 1, we can use modular arithmetic.

First, let's simplify n^2 - 1:

n^2 - 1 = (6k + 1)^2 - 1
= 36k^2 + 12k
= 12(3k^2 + k)

So we need to show that 12 divides (3k^2 + k) for all values of k.

We can use modular arithmetic to prove this. Let's consider k modulo 3:

If k ≡ 0 (mod 3), then 3k^2 + k ≡ 0 (mod 3).
If k ≡ 1 (mod 3), then 3k^2 + k ≡ 4 (mod 3).
If k ≡ 2 (mod 3), then 3k^2 + k ≡ 2 (mod 3).

So in all cases, 3k^2 + k ≡ 0 (mod 3) or 3k^2 + k is divisible by 3.

Now let's consider k modulo 4:

If k ≡ 0 (mod 4), then 3k^2 + k ≡ 0 (mod 4).
If k ≡ 1 (mod 4), then 3k^2 + k ≡ 0 (mod 4).
If k ≡ 2 (mod 4), then 3k^2 + k ≡ 2 (mod 4).
If k ≡ 3 (mod 4), then 3k^2 + k ≡ 0 (mod 4).

So in all cases, 3k^2 + k is divisible by 4 if k is even, and if k is odd then 3k^2 + k is divisible by 2.

Therefore, 3k^2 + k is always divisible by 12, and so n^2 - 1 = 12(3k^2 + k) is always divisible by 12 when n = 6k + 1.

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To find Keegan's optimal consumption bundle of pita wraps and bubble tea, we need to determine the combination that maximizes his utility while staying within his budget of $30. The price of a pita wrap is $6, and the price of a bubble tea is $3.

Step 1: Calculate the maximum quantity of each item Keegan can buy with his budget.
- Pita wraps: $30 / $6 = 5 wraps
- Bubble teas: $30 / $3 = 10 bubble teas

Step 2: List all possible combinations of pita wraps and bubble teas within the budget.
1. 0 wraps and 10 bubble teas
2. 1 wrap and 8 bubble teas
3. 2 wraps and 6 bubble teas
4. 3 wraps and 4 bubble teas
5. 4 wraps and 2 bubble teas
6. 5 wraps and 0 bubble teas

Step 3: Determine the optimal consumption bundle.
Without information about Keegan's preferences, we cannot definitively determine his optimal consumption bundle. However, these six combinations represent all possible bundles that Keegan can purchase with his $30 budget. Keegan's optimal consumption bundle would depend on his personal preferences for pita wraps and bubble teas.

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S is not continuous at c, and since this is true for any irrational number in (0,1), S is not continuous at any point in (0,1).

To show that S is continuous at 0 and at 1, we need to show that the limit of S(x) as x approaches 0 and 1 exists and is equal to S(0) and S(1), respectively.

First, let's consider the limit as x approaches 0. We have:

lim x→0 S(x) = lim x→0 x² = 0² = 0

Since S(0) = 0, we have lim x→0 S(x) = S(0), and thus S is continuous at 0.

Now let's consider the limit as x approaches 1. We have:

lim x→1 S(x) = lim x→1 x² = 1² = 1

Since S(1) = 1, we have lim x→1 S(x) = S(1), and thus S is continuous at 1.

To show that S is not continuous at any point in (0,1), we need to find a point c in (0,1) such that S is not continuous at c. One way to do this is to show that the limit of S(x) as x approaches c does not exist.

Let c be any irrational number in (0,1), and let {r_n} be a sequence of rational numbers in (0,1) that converges to c. Then we have:

lim n→∞ S(r_n) = lim n→∞ r_n = c

On the other hand, since c is irrational, S(c) = c². Therefore, we have:

lim x→c S(x) = c²

Since lim n→∞ S(r_n) ≠ lim x→c S(x), the limit of S(x) as x approaches c does not exist. Therefore, S is not continuous at c, and since this is true for any irrational number in (0,1), S is not continuous at any point in (0,1).

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To solve this problem, we can use the formula for combinations, which is:

C(n, k) = n! / (k! * (n-k)!)

where C(n,k) represents the number of combinations of n items taken k at a time.

Using this formula, we can write the given information as an equation:

6 * C(n, 3) = C(n, 2)

Substituting the formula for combinations, we get:

6 * (n! / (3! * (n-3)!)) = (n! / (2! * (n-2)!))

Simplifying this equation, we get:

6 * (n * (n-1) * (n-2)) / 6 = n * (n-1) / 2

Multiplying both sides by 2, we get:

2 * n * (n-1) * (n-2) = 6 * n * (n-1)

Simplifying further, we get:

n * (n-1) * (n-2) = 3 * n * (n-1)

Dividing both sides by n * (n-1), we get:

n-2 = 3

n = 5

Therefore, the value of the constant n is 5.

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