At Norris Middle School 11 out of 22 students bike to school. At Lewis and Clark Middle School 14 out of 28
students bike to school. Determine whether the ratios are equivalent and explain your reasoning in the
workspace provided.​

Answer:

No they did not pay the same rate, Bill paid more than Genevieve.

Step-by-step explanation:

Genevieve : 15 ÷ 4 =3.75

Genevieve paid 3.75 per ticket

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Bill : 75 ÷ 16 = 4.6875

Bill paid 4.6875 per ticket

********************************************

Answer:

f(-2) = -8

Step-by-step explanation:

f(x) = 2x - 4

=> f(-2) = 2(-2) - 4

=> f(-2) = -4 - 4

=> f(-2) = -8

Answer: y = (n - 7)/x.

Step-by-step explanation: xy + 7 = n  The rule is you can do any valid operation on both sides of an equation and it will still be equal. Subtract 7.

xy = n - 7  Divide by x.

y = n/x - 7/x = (n - 7)/x

The minimum possible probability that chip A is defective, given that (a, b) and (a,c) are tested defective, can be calculated as 1/3.

Let's consider the three chips: a,b, and c . According to the given conditions, a pair of chips is considered defective if at least one of the two chips is defective. Based on this, there are four possible outcomes for the pair tests: (a,b), (a,c), (b,c), and (c,b). We are given that both  (a, b) and (a,c) are tested defective.

To calculate the minimum possible probability that chip A is defective, we need to consider all possible combinations of defective and non-defective chips. Out of the four possible outcomes, (a, b) and (a,c) are tested defective. This means that either chip b or chip c (or both) must be defective.

Since each chip can either be defective or non-defective, there are eight equally likely possibilities for the states of the three chips: DDD, DND, NDD, NDN, DNN, NND, NNN, where D represents a defective chip and N represents a non-defective chip.

Out of these eight possibilities, four of them satisfy the condition that either chip b or chip c (or both) is defective: DDD, DND, NDD, and NND. In all of these cases, chip a is defective.

Therefore, out of the four favorable outcomes, only one outcome (DDD) has chip A as defective, while the other three have chip 'a' as non-defective. Hence, the minimum possible probability that chip 'a' is defective is 1 out of the 3 favorable outcomes, which can be expressed as 1/3.

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The height of the box is 2 inches.

Given: A package of gift cards has a length of 8 inches, a width of 4 inches, and a volume of 64 inches cubed.

To Find: The height of the box.

Solution: We can use the volume of a rectangular prism formula to compute the height of the box.

V = l x w x h.

Where V denotes volume,

l denotes length,

w denotes width,

and h denotes height.

It is given that the volume is 64 inches cubed and the length and breadth of the box are 8 and 4 inches, respectively.

Now, the formula becomes h = Volume / (length x width)height

Here, we get,

64 / (8 x 4)h

Now, after solving the above equation with the given formula we get the height of the box = 2 inches.  As a result, the box's height is 2 inches.

Thus, the height of the box is 2 inches.

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Answer: 8  x 2 = 4

1 x 4 = 4

9 x 3 = 27

2 x 4 = 8

Step-by-step explanation:

Answer:

27.7% larger

Step-by-step explanation:

6 x 113% = 6.78

9 x 113% = 10.17

Old Area = 9 x 6 = 54 sq in

New Area = 6.78 x 10.17 = 68.95

(New - Old) ÷ Old = .277 = 27.7%

Answer:

x=7

m<2=33

Step-by-step explanation:

4x+5=5x-2

5+2=5x-4x

7=x

m<2=4x+5

m<2=4×7+5

m<2=28+5=33

Answer:

180°

Step-by-step explanation:

Answer:

G is the correct answer

.

.

Answer:

B

Step-by-step explanation:

point slope uses the form y - y1 = m(x - x1)

m stand for slope. in this case it is -3

x1 is -1 and y1 is 6

when you plug it in, you get

y - 6 = -3(x - [-1])

which simplifies to your final answer: y - 6 = -3(x + 1)

Answer:

Step-by-step explanation:

This is proportional relationship, so one pair of coordinates is enough for our calculation, point (20, 50):

Use one pair of points from the table to calculate (15, 78.75):

Comparing, we see Andy's mileage is largest.

Andy will travel farther than the other drivers.

Energy consumption is the amount of power used over time, measured in watt-hours (Wh) or kilowatt-hours (kWh). It is calculated by multiplying the power (measured in watts) by the time for which it is used.

To calculate energy consumption, you will need to know the amount of power being used and the time over which it is being used. Power is typically measured in watts (W), and energy is the product of power and time, so energy consumption is the number of watts used multiplied by the number of hours for which they are used.

For example, let's say you want to calculate the energy consumption of a light bulb that uses 60 W of power and is left on for 4 hours. The energy consumption would be:

Energy consumption = 60 W * 4 hours = 240 Wh (watt-hours)

This is the amount of energy that the light bulb used over the 4-hour period.

You can also convert watt-hours to other units of energy, such as kilowatt-hours (kWh). To do this, you would divide the watt-hours by 1,000. In the example above, the energy consumption would be 0.240 kWh.

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Answer:

Simplify the radical expression.

√2a2a

Step-by-step explanation:

The shape isn't showing

but thats the answer

Answer:

domain { 2,3,8}

Step-by-step explanation:

The domain is the input to the relation

domain { 2,3,8}

Answer:

The correct answer is B

Step-by-step explanation:

zzzz

The margin of error for the survey, rounded to the nearest tenth, is approximately 4.0% when expressed as a percentage.

To determine the margin of error for a survey at the 95% confidence level, we need to calculate the standard error. The margin of error represents the range within which the true population proportion is likely to fall.

The formula for calculating the standard error is:

Standard Error = sqrt((p * (1 - p)) / n)

where p is the sample proportion and n is the sample size.

In this case, the sample proportion is 64% (or 0.64) since 64% of the 1350 surveyed residents support the plan.

Plugging in the values:

Standard Error = \(\sqrt{(0.64 * (1 - 0.64)) / 1350)}\)

\(= \sqrt{(0.2304 / 1350)} \\= \sqrt{(0.0001707)}\)

≈ 0.0131

Now, to find the margin of error, we multiply the standard error by the appropriate critical value for a 95% confidence level. The critical value corresponds to the z-score, which is approximately 1.96 for a 95% confidence level.

Margin of Error = z * Standard Error

= 1.96 * 0.0131

≈ 0.0257

Finally, to express the margin of error as a percentage, we divide it by the sample proportion and multiply by 100:

Margin of Error as Percentage = (Margin of Error / Sample Proportion) * 100

= (0.0257 / 0.64) * 100

≈ 4.0%

Therefore, the margin of error for this survey, expressed as a percentage to the nearest tenth, is approximately 4.0%.

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Answer:

5 would be the answer.

Step-by-step explanation:

13 divided by 3(weeks) = 4.3

4.3 x 5 = 21.

= 5.

Marshall is wondering whether he can participate in the LLP again next year. The statement that is true is "He can participate in the LLP again, but only to the extent that his existing LLP balance is less than $20,000.

The Lifelong Learning Plan is a program that helps Canadian residents finance their post-secondary education through their registered retirement savings plans (RRSP). If an individual is attending school full-time, they can withdraw up to $10,000 a year from their RRSP under the program, or up to $20,000 in total. There are certain rules that must be followed by an individual participating in the LLP. For example, withdrawals must be made within four years of enrolling in an eligible educational program, and repayments must begin within the same period.

Here are the statements: Provided he repays his LLP balance in full by the end of this year, Marshall can participate in the LLP again next year.Marshall can only participate in the LLP once over his lifetime. However, his wife can make a LLP withdrawal from her RRSP on his behalf. He can participate in the LLP again, but only to the extent that his existing LLP balance is less than $20,000. He can only participate in the LLP a second time if he repays his LLP balance in full and waits 5 years before he returns to school.The correct statement is: He can participate in the LLP again, but only to the extent that his existing LLP balance is less than $20,000.

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To determine if the different types of employees follow a uniform distribution, a statistical test can be conducted using an alpha (significance level) of 0.5.

The results of the test will determine if the distribution of employee types is uniform or not.

To investigate the relationship between the type of employee and their salary category, a statistical test can be performed using alpha (significance level) of 0.1. The test results will indicate if there is a significant association between employee type and salary category.

A uniform distribution assumes that all categories or types of employees have an equal probability of occurring. To test if this assumption holds, a statistical test, such as the chi-square goodness-of-fit test, can be used. The test compares the observed frequencies of each employee type with the expected frequencies under a uniform distribution. If the p-value associated with the test is less than the chosen significance level (alpha), typically 0.5 in this case, it indicates that the different employee types do not follow a uniform distribution.

To explore the relationship between employee type and salary category, a statistical test called the chi-square test of independence can be employed. This test assesses whether there is a significant association between two categorical variables, in this case, employee type and salary category. The test compares the observed frequencies of each combination of employee type and salary category with the expected frequencies assuming independence. If the resulting p-value is less than the chosen significance level (alpha), typically 0.1 in this case, it suggests a significant relationship between the employee type and salary category, indicating that they are not independent variables.

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Answer:

Y = 0x-2.

Step-by-step explanation:

I don't want the question of my teachers being in my b or I am a good time wi and I am

Using it's concept for the difference between points, the absolute value inequality |x - y| < 10 represents when Erik wins the game, and the inequality |x - y| ≥ 10 represents when Nina wins the game.

Erik and Nita are playing a game with numbers. In the game, they each think of a random number from zero to 20. If the difference between their two numbers is less than 10, then Erik wins. If the difference between their two numbers to greater than 10, then Nita wins. Use what you know about inequalities and absolute values to better understand the game.

The absolute function is defined by:

It measures the distance of a point x to the origin, hence, for example, |-2| = |2| = 0.

For this problem, we have that:

The difference between these two numbers is:

|x - y|.

Erik wins if the difference is less than 10, hence:

|x - y| < 10.

Hence:

Using it's concept for the difference between points, the absolute value inequality |x - y| < 10 represents when Erik wins the game, and the inequality |x - y| ≥ 10 represents when Nina wins the game.

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The ratio of the time taken by Brian and Colin to mark exam papers is 43 minutes to 1 hour. Hence, the simplified ratio of the time taken by Brian and Colin to mark exam papers is 43:60.

To express the times taken by Brian and Colin as a ratio, we need to convert their times to a common unit. Since both Brian and Colin's times are given in minutes and hours respectively, we need to convert Colin's time to minutes.

We know that 1 hour is equal to 60 minutes. Therefore, Colin's time of 1 hour can be expressed as 60 minutes.

Now, the ratio of Brian's time to Colin's time is 43 minutes to 60 minutes. However, we can simplify this ratio by dividing both numbers by their greatest common divisor, which is 1.

Dividing 43 and 60 by 1 gives us the simplified ratio of 43:60. This ratio cannot be further simplified since there is no common factor greater than 1 between 43 and 60.

Hence, the simplified ratio of the time taken by Brian and Colin to mark exam papers is 43:60.

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Answer:

1)

2x = 16

16 ÷ 2 = 8

x = 8

2)

2 + x = 28

28 - 2 = 26

x = 26

3)

3 ÷ 6 = 0.5 (I'm not sure about this one)

4)

27 - 10 = y

27 - 10 = 17

y = 17

5)

1/3 = 400 cal

400 + 400 + 400 = 1, 200

whole pizza = 1,200 calories

6)

$287 - $175 = $112

Answer:

Step-by-step explanation:

red

Answer:

Transfer Schools

Step-by-step explanation:

Answer: I guess just pretend he’s there right next to your side every day and don’t let emotions say he’s gone, let them say he’ll come back soon and remember him.

The sample is based on the first 25 parents dropping off actors during theater rehearsal hence the sampling method is non random and biased.

A non random sample refers to a sampling method that is not based on chance alone. A biased sampling is one in which some members of the population are more likely to be selected thereby excluding the others.

Since the sample is based on the first 25 parents dropping off actors during theater rehearsal, the sampling method is  non random and biased.

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Answer:

its nonrandom and biased

Step-by-step explanation:

so you don't have to read the other guys answer

Answer:

b

Step-by-step explanation:

duxuejdbdhwuskisisiei

The numbers of the jerseys of 5 randomly selected Carolina Panthers would fall under the category of quantitative discrete data.

Quantitative data are numerical measurements or counts that can be added, subtracted, averaged, or otherwise subjected to arithmetic operations. Discrete data, on the other hand, can only take on specific, whole number values, as opposed to continuous data which can take on any value within a range.

Qualitative data, on the other hand, are non-numerical data that cannot be measured or counted numerically. Examples include colors, names, opinions, and preferences. Since the numbers of the jerseys are specific numerical values, they are considered quantitative data.

Since they can only take on specific, whole number values (i.e. the jersey numbers are not continuous values like weights or heights), they are considered discrete data. Therefore, the correct option for the given question is option "quantitative discrete".

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