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By using Pythagorean theorem, we find that the shortest distance from Krista's home to her work is approximately 1.19 miles.

To find the shortest distance from Krista's home to her work, we can use the Pythagorean theorem. Let's convert the distances to a common unit, such as miles

Distance from grocery store to work = 500 m = 0.31 miles (since 1 mile = 1609.34 meters)

Total distance from home to work = 2 km = 1.24 miles (since 1 mile = 1.609 km)

Let's call the distance from Krista's home to the grocery store "x". Then, we can set up the following equation

x^2 + 0.31^2 = 1.24^2

Simplifying and solving for x, we get

x^2 = 1.24^2 - 0.31^2 = 1.4223

x = √1.4223 ≈ 1.19 miles

Therefore, the shortest distance is approximately 1.19 miles.

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--The given question is incomplete, the complete question is given

" Krista needs to stop at the grocery store on the way home from her work. What is the shortest distance, in miles, from Krista's home to her work? the distance from grocery store to work is 500m, and the total distance from home to work is 2km"--

Answer:

A

Step-by-step explanation:

Equation of a line is:    y = mx + b    where  m = slope    b = y axis intercept

      To find the slope between any two of the given points :

  say   18, 100   and     27, 85

    m = slope =  (y1-y2) / (x1-x2) = (85-100) / ( 27-18)  = -15/12 = -5/3  

so now you have

   y = - 5/3 x   + b       we still need to find the value of b

                                        use any point to calculate b

                              say    15, 106

     106 = - 5/3 (15) + b    

          b = ~ 131

the equation is then     y = - 5/3 x + 131     closest  to answer 'A'

The actual distance between the two towns is 337.5 miles.

What is distance?

Distance is the measure of how far apart two objects or locations are from each other. It is usually measured in units such as meters, kilometers, miles, or feet. Distance is a scalar quantity, meaning it has only magnitude and no direction.

If 1/2 inch on the map represents 75 miles in reality, then 1 inch on the map would represent 150 miles (twice the distance of 1/2 inch).

So, to find the actual distance between the two towns, we need to multiply the distance on the map (2 1/4 inches) by the conversion factor (150 miles per inch):

2 1/4 inches * 150 miles per inch = (9/4) inches * 150 miles per inch

Simplifying:

(9/4) inches * 150 miles per inch = 337.5 miles

Therefore, the actual distance between the two towns is 337.5 miles.

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There are 73,701 different 6-card hands (from a standard deck) with at least 3 kings.

To calculate the number of 6-card hands with at least 3 K's, the problem can be divided into:

Case 1:

Exactly 3 Kings

There are 4 ways to choose 3 kings to put in the hand, then there are 48 cards left to choose the remaining 3 cards (because we used 3 cards in a 52-card deck). Therefore, the number of 6-card hands with exactly 3 kings is:

4 * (48 choose 3) = 4 * 17,296 = 69,184

Case 2:

Exactly 4 Kings

There are 4 ways to choose 4 kings to put in the hand, then there are 48 cards left to choose the remaining 2 cards. Therefore, the number of 6-card hands with exactly 4 kings is:

4 * (48 choose 2) = 4 * 1.128 = 4.512

Case 3:

Exactly 5 kings

There are 4 ways to choose the 5 kings in the hand, then there is only one card left to choose from (because we used 5 of the 52 cards in the deck of cards). Therefore, the number of 6-card hands with exactly 5 kings is:

4*1=4

Case 4:

6 cards are king

There is only one way to choose all 6 cards as king.

Therefore, the total number of 6-card hands with at least 3 kings is:

69,184 + 4,512 + 4 + 1 = 73.701

So there are 73,701 different 6-card hands with at least 3 kings.  

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Answer:

[tex]f(x) = 500( {.89}^{x} )[/tex]

a) The probability that the third hole drilled is the first to yield a productive well is given by the following sequence of events: the first two holes must be unproductive, followed by a productive third hole. The probability of each of these events happening is:

- Probability of an unproductive hole: 0.8

- Probability of two unproductive holes in a row: 0.8

Answer:

Vertex = (-3, -4)

Step-by-step explanation:

The given graph is a parabola that opens upwards.

The vertex of a parabola that opens upwards is its lowest point (minimum value).

From inspection of the given graph, the lowest point is (-3, -4).

Therefore, the vertex of the parabola is (-3, -4).

The next time the walking and bus tours will start at the same time is 11:45 a.m.

What is the lcm?

The LCM is multiple which is useful if fractions need to be expressed in the same name, when the other number is multiple, LCM will have the larger number:

To find out when the walking and bus tours will start at the same time, we need to find the least common multiple (LCM) of 25 and 45, which is the smallest time interval that is a multiple of both 25 minutes and 45 minutes.

The prime factorization of 25 is 5 * 5, and the prime factorization of 45 is 3 * 3 * 5. To find the LCM, we take the highest power of each prime factor that appears in either factorization, so:

LCM = 3 * 3 * 5 * 5 = 225

Therefore, the walking and bus tours will start at the same time every 225 minutes, or 3 hours and 45 minutes. To find the next time they will start at the same time, we need to add 225 minutes to the starting time of 8:00 a.m.

8:00 a.m. + 3 hours and 45 minutes = 11:45 a.m.

Hence, the next time the walking and bus tours will start at the same time is 11:45 a.m.

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The decimal that represents the fraction of the $30.00 Maggie spent is 0.6.

Now, let's talk about decimals. Decimals are a way of expressing parts of a whole number in a fraction of 10. For example, 0.5 is the same as 1/2. In your situation, Maggie spent $18.00 out of $30.00. To figure out what decimal represents the fraction of the $30.00 Maggie spent, we need to divide the amount she spent by the total amount she had.

So, we can write this as a fraction:

$18.00 / $30.00

To turn this fraction into a decimal, we divide the numerator (top number) by the denominator (bottom number) using long division or a calculator.

$18.00 / $30.00 = 0.6

Another way to say this is that Maggie spent 60% of the money she had in her wallet.

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Based on the given information, we can set up the following hypotheses for the hypothesis test:

Null Hypothesis (H0): The actual proportion of people taking the cruise within 1 year is equal to the believed proportion of 5%.

Alternative Hypothesis (H1): The actual proportion of people taking the cruise within 1 year is not equal to the believed proportion of 5%.

Let p be the proportion of people taking the cruise within 1 year. We can use the sample proportion, denoted as p-hat, which is calculated as the ratio of the number of people who took the cruise within 1 year (3 in this case) to the total number of people who requested the brochures (100 in this case).

Given that the significance level is 0.05, we can use a z-test to compare the sample proportion with the believed proportion of 5%. The z-test statistic is calculated as:

z = (p-hat - p) / sqrt(p * (1 - p) / n)

where n is the sample size, which is 100 in this case.

Now we can calculate the z-test statistic and compare it with the critical value for a two-tailed test at a significance level of 0.05. If the calculated z-test statistic falls outside the critical value, we would reject the null hypothesis; otherwise, we would fail to reject the null hypothesis.

Since the sample proportion p-hat is 3/100 = 0.03, and the believed proportion p is 0.05, we can substitute these values into the z-test formula:

z = (0.03 - 0.05) / sqrt(0.05 * (1 - 0.05) / 100)

Calculating the above expression, we get the value of z. We can then compare this value with the critical value for a two-tailed test at a significance level of 0.05 from a standard normal distribution table or using a statistical calculator.

If the calculated z-test statistic falls outside the critical value, we would reject the null hypothesis and conclude that the actual proportion of people taking the cruise within 1 year is different from the believed proportion of 5%. If the calculated z-test statistic falls within the critical value, we would fail to reject the null hypothesis and not conclude that the actual proportion is different from the believed proportion.

Without the actual values of the calculated z-test statistic and the critical value, we cannot provide a specific decision for this hypothesis test. Please note that hypothesis testing requires careful consideration of the sample size, significance level, and other relevant factors, and should be conducted with caution and in consultation with a qualified statistician or expert in statistical analysis.

The simplified expression is 4(x - 3y).

logarithm, the exponent or power to which a base must be raised to yield a given number. Expressed mathematically, x is the logarithm of n to the base b if bx = n, in which case one writes x = logb n. For example, 23 = 8; therefore, 3 is the logarithm of 8 to base 2, or 3 = log2 8.

Using the following logarithmic identities:

log a (bc) = log a (b) + log a (c)

log a (b/c) = log a (b) - log a (c)

We can simplify the expression as follows:

2㏒4 x - 6 log4 y = 2(㏒4) x - 6(㏒4) y

= 2(㏒4) x - 2(㏒4)3 y

= 2(㏒4)(x - 3y)

Now, we can simplify further by using the fact that ㏒4 = 2:

2(㏒4)(x - 3y) = 2(2)(x - 3y) = 4(x - 3y)

Therefore, the simplified expression is 4(x - 3y).

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A high correlation is insufficient to establish causation on its own.

The value of m∠1 in the given diagram is 113 (last option)

From the diagram given above, we obtained the following data:

Considering the above, we can easily obtain the value of m∠1 as follow:

m∠1 + 67 = 180 (angle on a straight line)

Collect like terms

m∠1 = 180 - 67

m∠1 = 113

Thus, we can conclude from the above calculation that the value of m∠1 is 113 (last option)

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According to the information, he test statistic for this sample is 5.

To calculate the test statistic for the Wilcoxon signed-rank test, we need to calculate the differences between the "before" and "after" engagement ratings and rank them in order of their absolute values.

Student Before After Difference Absolute Difference Rank

1 30 40 10 10 1

2 20 40 20 20 2

3 32 37 5 5 3

4 43 46 3 3 4

5 48 44 -4 4 5

The sum of the ranks for the positive differences is 1 + 2 + 3 + 4 = 10, and the sum of the ranks for the negative differences is 5.

The smaller of the two sums (in this case, the sum of the ranks for the negative differences) is the test statistic for the Wilcoxon signed-rank test.

Therefore, the test statistic for this sample is 5.

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Answer:

The answer is 3

Step-by-step explanation:

x×108=y

x×2²×3³=y

3×108=324

Answer: The answer is A.

Step-by-step explanation: Because I am smart don't underestimate me.

Answer:

C

Step-by-step explanation: (look at attachment)

3x + 4 = -2x -2

By looking at the y-intercepts, you automatically know the answer is C.

The y-intercept of the pink line is 4 because of 3x + 4.

The y-intercept of the blue line is -2, because of -2x - 2.

To find the inverse of a function, we need to swap the positions of x and y and then solve for y. In other words, we replace f(x) with y and then solve for x.

x = 5y - 6

Next, we'll solve this equation for y:

x + 6 = 5y

y = (x + 6)/5

To reduce the width of a confidence interval, you can use a smaller sample size and decrease the level of confidence, or use a larger sample size and decrease the level of confidence.

What are the factors?

what are factorsIn mathematics, a factor is a number that divides another number without leaving a remainder.

The combination of factors that would definitely cause the confidence interval to become wider is to use a larger sample and increase the level of confidence or to use a smaller sample and increase the level of confidence.

When using a larger sample size, the standard error of the mean decreases, and the interval will become narrower. Conversely, when using a smaller sample size, the standard error of the mean increases, and the interval will become wider. However, increasing the level of confidence will also increase the width of the interval as a wider interval is required to capture the true population parameter with a higher level of confidence.

Therefore, to reduce the width of a confidence interval, you can use a smaller sample size and decrease the level of confidence, or use a larger sample size and decrease the level of confidence.

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Saanvi paid £5329.39 for the boat 13 years ago. This is based on the assumption that the boat depreciated at a constant rate of 2.5% per year. It is important to note that there could be other factors that affect the value of the boat, such as maintenance, repairs, and upgrades, which are not accounted for in this calculation.

How to solve the question?

To find out how much Saanvi paid for the boat, we can use the concept of depreciation. Depreciation is the reduction in value of an asset over time. In this case, the boat has depreciated at a rate of 2.5% per year.

Let the initial value of the boat be 'P'. After one year, the value of the boat would be 97.5% of P. After two years, it would be 95% of P, and so on. We can write this mathematically as:

Value of the boat after n years = P x (0.975)^n

We are given that the value of the boat after 13 years is £3115. Therefore, we can write:

3115 = P x (0.975)^13

Solving this equation for P, we get:

P = 3115 / (0.975)^13

P = 5329.39

Therefore, Saanvi paid £5329.39 for the boat.

In conclusion, Saanvi paid £5329.39 for the boat 13 years ago. This is based on the assumption that the boat depreciated at a constant rate of 2.5% per year. It is important to note that there could be other factors that affect the value of the boat, such as maintenance, repairs, and upgrades, which are not accounted for in this calculation.  

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The probability that a New Yorker who possesses a cat also owns a dog is 0.103. if a new yorker is chosen at random.

New Yorkers own a dog (D) = 30%

New Yorkers own a cat (C) =  25%

New Yorkers own a cat and dog = 15%

This problem can be calculated using Bayes' theorem, which notes that the possibility of an event A given event B is equal to the possibility of event B given A times the probability of A, divided by the probability of event B.

P(D) = 0.30

P(C) = 0.25

P(C|D) = 0.15

Using Bayes' theorem:

P(D|C) = P(C|D) * P(D) / P(C)

P(C) = [tex]P(C|D) * P(D) + P(C|not D) * P(not D)[/tex]

P(C) = [tex]P(C|D) * P(D) + P(C) * P(not D)[/tex]

P(C) =[tex]P(C|D) * P(D) / (1 - P(D) * P(C|not D))[/tex]

Now we can substitute these values into the Bayes' theorem formula:

P(D|C) = P(C|D) * P(D) / P(C)

P(D|C) = [tex]0.15 * 0.3 / (P(C|D) * P(D) + P(C) * P(not D))[/tex]

P(D|C) = [tex]0.15 * 0.3 / (0.15 * 0.3 + P(C) * 0.7)[/tex]

P(C) = [tex]0.15 * 0.3 / (1 - 0.3 * 0.25)[/tex]

P(C) = 0.16

P(D|C) = [tex]0.15 * 0.3 / (0.15 * 0.3 + 0.16 * 0.7)[/tex]

P(D|C) = 0.103

Therefore, we can conclude that the probability that a New Yorker who owns a cat also owns a dog is 0.103.

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The probability of someone randomly selecting a computer that does not have a virus is 0.8.

Total number of computers = 20

Virus affected = 4

Perfect computers = 20 - 4 = 16

The probability of choosing a computer that does not have a virus is equivalent to the number of computers without a virus and divided by the total number of computers in the lab.

The probability of selecting a computer without a virus is:

P(C) = 16/20

Simplifying this fraction, we get:

P(20 - 4 = 16) = 4/5

P(20 - 4 = 16) = 0.8

Therefore we can conclude that the probability of someone randomly selecting a computer that does not have a virus is 0.8.

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The measure of angle A and B is 29° and 61° respectively

Trigonometric Ratios are defined as the values of all the trigonometric functions based on the value of the ratio of sides in a right-angled triangle.

sin(tetha) = opp/hyp

tan(tetha) = opp/adj

cos(tetha) = adj/hyp

The opposite is 6 and the adjascent = 11

Therefore tan (tetha) = 11/6 = 1.833

tetha = tan^-1( 1.833)

= 61°( nearest degree)

The sum of angle in a triangle is 180°

therefore,

angle A = 180-( 61+90)

= 180-151

= 29°

therefore the measure of angle A and B is 29° and 61° respectively.

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The corrected statement should look like this:
```java
int[] hours = {8, 12, 16};
```

It looks like you are trying to create an integer array in Java called "hours" and initialize it with the values 8, 12, and 16. The given statement has incorrect syntax.
Declare the integer array using "int[]" followed by the variable name "hours".

This tells the Java compiler that you want to create an array of integers called "hours".
Use the assignment operator "=" to assign values to the array.
Enclose the values you want to assign to the array within curly braces "{" and "}" and separate each value with a comma.
The corrected statement should look like this:
```java
int[] hours = {8, 12, 16};
```
Now, the "hours" integer array is initialized correctly with the given values.

The syntax for declaring and initializing an integer array in Java is:

```java
data Type[] array

Name = {value1, value2, value3, ...};
```
In this case, "data Type" is "int", "array

Name" is "hours", and the values are 8, 12, and 16.
Remember to keep your code clean and concise to avoid syntax errors and make it easier for others to understand.

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For a random sample of 100 students related to aftee school activity. The 98% confidence interval that estimates the proportion of students who are involved in an after school activity is equals to (0.779, 0.941). So, option (c) is right one.

Confidence intervals represents the variation around a statistical estimate. A confidence interval is a range of interval of estimates for an unknown parameter.

[tex]CI = \hat p ± z_ \frac{ \alpha}{2}\sqrt{\frac{ ( 1 - \hat p)\hat p}{n}}[/tex]

where [tex]\hat p[/tex]-->sample proportion

n --> sample size

We have a simple random sample of 8ᵗʰ graders at a large suburban middle school. Sample size, n = 100

Sample proportion for students who involved with some type of school activity, [tex]\hat p[/tex] = 86% = 0.86

We have to calculate the 98% confidence interval that estimates the proportion of students sample.

Level of significance, α = 98%

= 0.98

Using the normal distribution table, value of z-score for 98% of confidence interval is 2.326 . Now, plug all known values in following confidence interval formula,

[tex]CI = \hat p ± z_ \frac{ \alpha}{2}\sqrt{\frac{ ( 1 - \hat p)\hat p}{n}}[/tex]

[tex]= 0.86 ± (2.326) \sqrt{\frac{ ( 1 - 0.86)0.86}{100}}[/tex]

[tex]= 0.86 ± (2.326) \sqrt{\frac{ ( 0.14)0.86}{100}}[/tex]

[tex]= 0.86 ± 0.081 [/tex]

[tex]= (0.86 - 0.081 , 0.86 + 0.081) [/tex]

= (0.779, 0.941)

Hence, required value is (0.779, 0.941).

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The sales tax rate is 6%

If the sales-tax rate is 6%, the tax paid on an $8.50 purchase would be:

Tax = 0.06 x $8.50

Tax = $0.51

Therefore, the total cost of the purchase including sales tax would be:

Total cost = $8.50 + $0.51

Total cost = $9.01

The sales tax rate is 6%.

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Answer:

[tex]c + 15 > 24[/tex]

[tex]c > 9[/tex]

The additional amount will be more than $9.

If the experimental value is 10.1% and the label value is 10%, then the relative difference is 1%, which is equal to 1%. Therefore, you can say that they agree.

To determine if the calculated per cent fat from the experimental data in question 2 agrees with the per cent fat calculated from the label in question 3, follow these steps:

1. Calculate the per cent fat from the experimental data in question 2.
2. Calculate the per cent fat from the label in question 3.
3. Compare the two values.

If the two values are the same or differ by less than 1%, then the answer is yes, they agree. If the two values differ by more than 1%, then the answer is no, they do not agree.

Without the specific data from questions 2 and 3, I cannot provide a definite answer. However, you can use the steps provided above to determine if the calculated per cent fat from the experimental data agrees with the per cent fat calculated from the label.

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The equivalent ratio of dollars to pizza for 4 pizzas is 12 : 1.

A ratio is a comparison of two or more quantities that are related to each other in some way. It is expressed as a fraction or using the "colon" notation.

If Mike pays 12 dollars for one pizza, the ratio of dollars to pizza is:

12 : 1

To find the equivalent ratio for 4 pizzas, we need to keep the ratio of dollars to pizza constant. We can do this by multiplying both the numerator and denominator of the ratio by 4, since we are now dealing with 4 pizzas instead of 1. This gives us:

12 x 4 : 1 x 4

Simplifying this ratio gives us:

48 : 4

We can further simplify this ratio by dividing both the numerator and denominator by 4, which gives us:

12 : 1

Therefore, the equivalent ratio of dollars to pizza for 4 pizzas is 12 : 1.

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Answer: ~$0.99 (0.9875)

Just divide 3.95 by 4

Answer: -12d+(4/(4d+7))

Step-by-step explanation:

To simplify the expression –48d^2 – 132d – 80 ÷ (4d + 7), we can use long division:

           -12d

      ____________

   4d + 7 | -48d^2 - 132d - 80

            48d^2 + 84d

            ___________

                       - 48d - 80

                       + 48d + 84

                       ___________

                                4

Therefore, the simplified expression is -12d + (4/(4d + 7))