Can somebody help me

Bank B has a basic fee of $9.95 per month and a bill paying fee of $5.95 per month. It has a limit of 20 checks written per month, with a cost of $1 per bill beyond the limit. The total annual cost for Bank B is $174.40.

To compare the cost of online banking, Tim Worker needs to consider various factors, including the basic monthly fee, bill paying monthly fee, limits on the number of checks written, and cost per bill beyond the limit. The basic fee is the amount charged by the bank for providing access to online banking services.

The bill paying fee is charged for each payment made through the online bill pay service. The limit on the number of checks written is the maximum number of checks that can be written in a given month without incurring additional charges. The cost per bill beyond the limit is the amount charged for each bill payment made beyond the specified limit.

Bank B has a basic fee of $9.95 per month and a bill paying fee of $5.95 per month. It has a limit of 20 checks written per month, with a cost of $1 per bill beyond the limit. To calculate the annual cost for Bank B, we can multiply the basic fee and bill paying fee by 12 and add the cost of any additional bills beyond the limit, multiplied by the cost per bill and the number of months in a year.

The total annual cost for Bank B is $174.40, calculated as follows:

Basic fee = $9.95 * 12 = $119.40

Bill paying fee = $5.95 * 12 = $71.40

Cost of bills beyond limit = $1 * (35 - 20) * 12 = $180

Total cost = $119.40 + $71.40 + $180 = $371.80

However, since the cost per bill beyond the limit is capped at $20 per month, the actual cost is $9.95 * 12 + $5.95 * 12 + $20 * 12 = $174.40.

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The area of the sidewalk in terms of x would be 3 x ² + x + 2

The area of the sidewalk would be :

= Area of rectangular area - Area of rectangular garden

Area of rectangular area = 2 x ( 2x + 1 )

Area of rectangular garden = x ( x + 1 )

The area of the sidewalk in terms of x is therefore :

= ( 2 x ( 2x + 1 ) ) - ( x ( x + 1 ) )

= ( 4 x ² + 2 ) - ( x ² + x )

= 4 x ² + 2 -  x ² + x

= 4 x ² - x ² + x + 2

= 3 x ² + x + 2

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Answer:

23\(\frac{1}{3}\)m/s

Step-by-step explanation:

We can change the km to m first. 1km = 1000m.

84km/h = 84 000m/h

Then, we can change the h to s. 1h = 3600s.

84 000m/h = 23\(\frac{1}{3}\)m/s

Answer:

8

Step-by-step explanation:

I'm using this equation: a^2+b^2=c^2

x^2+6^2=10^2

x^2+36+100

x^2= 64

x=sqrt64

x=8

Emily's constant rate in square feet per minute is 10. This means that she can paint 10 square feet in one minute.

To determine Emily's constant rate in square feet per minute, we need to use the given information that she can paint a certain number of square feet in a certain number of minutes. Let's say that Emily can paint x square feet in y minutes.
To find her rate, we need to divide the number of square feet painted by the number of minutes it took to paint them. So Emily's constant rate would be:
x / y = rate (in square feet per minute)
For example, if Emily can paint 200 square feet in 20 minutes, her rate would be:
200 / 20 = 10
Therefore, Emily's constant rate in square feet per minute is 10. This means that she can paint 10 square feet in one minute.
In conclusion, to determine Emily's constant rate in square feet per minute, we need to divide the number of square feet painted by the number of minutes it took to paint them. The result is the rate in square feet per minute.

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The scenario of getting a random sample of 50 fish with a mean length greater than 10 inches is even less likely than the scenario of getting a random sample of 15 fish with a mean length greater than 10 inches.

To determine which scenario is more likely, we can use the central limit theorem to approximate the distribution of sample means. According to the central limit theorem, if we take random samples of size n from a population with a mean μ and standard deviation σ, the sample means will be approximately normally distributed with a mean equal to the population mean and a standard deviation equal to the population standard deviation divided by the square root of n.

In this case, the population mean is claimed to be 8 inches, and the standard deviation is unknown. However, since the distribution of fish lengths is approximately normal, we can use the empirical rule to estimate the standard deviation. The empirical rule states that for a normal distribution, approximately 68% of the data falls within one standard deviation of the mean, 95% of the data falls within two standard deviations of the mean, and 99.7% of the data falls within three standard deviations of the mean.

Assuming that the lengths of the fish are normally distributed with a mean of 8 inches, we can estimate that approximately 95% of the fish have lengths between 4 inches and 12 inches (i.e., within two standard deviations of the mean). Therefore, we can estimate the standard deviation as:

σ ≈ (12 - 4) / 4 ≈ 2.0

Using this estimate of the standard deviation, we can use the central limit theorem to approximate the probabilities of the two scenarios.

For a random sample of 15 fish, the distribution of sample means would be approximately normal with a mean of 8 inches and a standard deviation of:

σ / sqrt(n) = 2.0 / sqrt(15) ≈ 0.516

To find the probability of getting a sample mean greater than 10 inches, we can standardize the sample mean:

z = (x - μ) / (σ / sqrt(n)) = (10 - 8) / 0.516 ≈ 3.88

Using a standard normal distribution table or calculator, we can find that the probability of getting a sample mean greater than 10 inches is very small, approximately 0.00006.

For a random sample of 50 fish, the distribution of sample means would be approximately normal with a mean of 8 inches and a standard deviation of:

σ / sqrt(n) = 2.0 / sqrt(50) ≈ 0.283

To find the probability of getting a sample mean greater than 10 inches, we can standardize the sample mean:

z = (x - μ) / (σ / sqrt(n)) = (10 - 8) / 0.283 ≈ 7.08

Using a standard normal distribution table or calculator, we can find that the probability of getting a sample mean greater than 10 inches is very small, approximately 0.000000000001.

Correct Question :

Big town Fisheries recently stocked a new lake in a city with 2,000 fish of various sizes. The distribution of the lengths of these fish is approximately normal. Big town Fisheries claims that the mean length of the fish is 8 inches. If the claim is true, which of the following would be more likely?

A random sample of 15 fish having a mean length that is greater than 10 inches or A random sample of 50 fish having a mean length that is greater than 10 inches.

Justify your answer in terms of the Central Limit Theorem.

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The required proportion according to the given figure is \(\frac{2}{5} =\frac{5}{8}\\\)

The dilation factor is used to determine the extent to which an object has increased or decreased.

The required proportion is expressed as:

\(\frac{l}{w} =\frac{L}{W}\\ \frac{5}{2} =\frac{8}{5}\\ \frac{2}{5} =\frac{5}{8}\\\)

Hence the required dilation is \(\frac{2}{5} =\frac{5}{8}\\\)

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When determining sample sizes for probability designs, there are several factors to consider. One important factor is the level of confidence desired in the results.

As the desired level of confidence increases, the sample size needed also increases. This is because a larger sample size provides more data and reduces the likelihood of errors or outliers affecting the results.
Another factor to consider is the precision required in the sample results. The more precise the required results, the larger the sample size needed. This is because a larger sample size provides more accurate and reliable data, reducing the margin of error in the results.

The variability in the data being estimated is also a factor that affects the sample size needed. If the data has a high level of variability, a larger sample size is needed to ensure that the results are representative of the population being studied. Conversely, if the data has a low level of variability, a smaller sample size may be sufficient.

Finally, the desired level of error also plays a role in determining the sample size needed. The smaller the desired level of error, the larger the sample size needed to achieve that level of precision.

Overall, determining the appropriate sample size for probability designs involves considering multiple factors, including confidence, precision, variability, and error, and balancing these factors to ensure that the results are both accurate and representative of the population being studied.
The true statement among the options provided regarding factors that play an important role in determining sample sizes with probability designs is: "The more precise the required sample results, the larger the sample size."

Factors that affect sample size in probability designs include confidence level, desired precision, and variability in the data. A higher level of confidence indicates greater certainty in the results, but it requires a larger sample size to achieve. Similarly, more precise results require a larger sample size to decrease the margin of error.

In contrast, the statements claiming that a smaller sample size is needed for higher confidence or smaller desired error are incorrect. In reality, a larger sample size is necessary for both situations.

Lastly, the relationship between variability in the data and sample size is inverse; when there is lower variability in the data, a smaller sample size is needed to achieve a specific level of precision. Therefore, the statement claiming that lower variability requires a larger sample size is also incorrect.

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Answer:

Always start with the first number. The one in 1.47 is less than the 4 in 4.01, so 1.47 is less than 4.01.

Least to greatest is 1.4, 1.47, 4.01, and 4.1

C.8 is the answer.

Step-by-step explanation:

Mode: The number that occurs the highest number of times.

Answer:

The Answer is C). 8

Step-by-step explanation:

bcause there are more 8's then all the other number if that makes sense

Hope this helps!!!

Answer:

114

Step-by-step explanation:

if Harry by the TV priced at 1200 euros plus 20% of 18 rupees 300 deposit and then balancing 10 equal monthly payments calculate each monthly payment therefore we get to have you at the 20% be at that adds up to 14:40 and then subtract the 300 deposit that he made you remind me the balance of 1140 there for 10 months how much will he have paid each month iis 114

The context that could not be modeled by an exponential function is given as follows:

Snow was falling at a rate of 2.25 inches per hour.

A function is classified as exponential if when the input variable is changed by one, the output variable is multiplied by a constant.

A function is classified as linear if when the input variable is changed by one, the output variable is increased/decreased by a constant.

Percentages involve multiplication, hence they are modeled by exponential functions.

The snow scenario has the modification by a fixed amount, hence it is modeled by a linear function.

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Answer:

a ^5 = 405

I dont really know the answer

The correct option is (d). There appears to be an association since the proportion of juniors that have jobs is much larger than the proportion of seniors having jobs.

A crosstab is a table that displays data between two categorical variables. The survey reveals the students’ employment status, categorized by job and no job, as well as their class, classified as juniors and seniors. Out of 59 students, the table provides data for 33 juniors and 26 seniors. According to the table, there are 18 juniors that have jobs, accounting for 54.5% of juniors, while 11 seniors hold jobs, accounting for 42.3% of seniors.

It is clear from the table that juniors have a greater chance of holding jobs than seniors, so there is an association between employment status and class. As a result, answer option (d) is the best fit as it rightly reflects the proportion of juniors that have jobs, which is much higher than the proportion of seniors having jobs.

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The differential equation that models this situation is dx/dt = kx(M - x) (option c).

To determine the differential equation that models the situation, let's analyze the problem statement.

The rate at which a person can memorize a list of M words is proportional to the product of the number of words memorized and the number of words that have not been memorized.

Let's denote the number of words memorized as "a" and the number of words not yet memorized as "M - a" (where M is the total number of words in the list).

The problem states that the rate of memorization is proportional to the product of "a" and "M - a". We can express this mathematically as:

Rate of memorization ∝ a * (M - a)

To convert this proportionality into an equation, we introduce a positive constant k:

Rate of memorization = k * a * (M - a)

The left side of the equation represents the rate of change of the number of words memorized (da/dt), and the right side represents the product of "a" and "M - a" multiplied by the constant k.

Therefore, the differential equation that models this situation is:

da/dt = k * a * (M - a)

Comparing this with the given options, we can see that the correct choice is option C:

dx/dt = k * x * (M - x)

The complete question is:

At any time t > 0 the rate at which a person can memorize a list of M words is proportional to the product of the number of words memorized and the number of words that have not been memorized. If a denotes the number of words memorized at time t, which differential equation models this situation? Assume k is a positive constant.

A. dx/dt = kx

B. dx/dt = kx(x - M)

C. dx/dt = kx(M - x)

D. dx/dt = kt(M - t)

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1.242 ≤ d ≤ 1.305 is the corresponding interval for the diameter of the washer.

Given that,

Company A makes and sells a washer having a 4-centimeter outer radius. The corporation has decided on a washer with an actual radius in the range of 3.9 ≤ C ≤ 4.1.

Inequality is defined as the connection of an equation having the symbol ( ≤, ≥, <, >) in place of the assignment operator.

Here,

C = 3.14d

Given inequality,

3.9 ≤ C ≤ 4.1

3.9 ≤ 3.14d ≤ 4.1

dividing both sides of the inequality by 3.14,

1.242 ≤ d ≤ 1.305

As a result, the needed matching spacing for the washer's diameter is 1.242 ≤ d ≤ 1.305.

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Answer:

The range is the difference between the highest and lowest values in a set of numbers. To find it, subtract the lowest number in the distribution from the highest.

Step-by-step explanation:

I hope it help you

Answer:

Range is the difference between the highest number in the group and the lowest number so you subtract the highest number from the lowest to get the range

Step-by-step explanation:

Answer:

A. 42, 120, 162

Step-by-step explanation:

27 x 6 = 162

or

42 + 120 = 162

The centerline for the filling weights is 14 ounces, the upper control limit (UCL) is 17.264 ounces, and the lower control limit (LCL) is 10.736 ounces when samples of 10 boxes are taken.

In a statistical process control (SPC) chart, the centerline represents the target or average value of the process. In this case, the average filling weight of the cereal boxes is 14 ounces.

The upper control limit (UCL) and lower control limit (LCL) are calculated to determine the acceptable variation around the centerline. The UCL is set at three standard deviations above the centerline, while the LCL is set at three standard deviations below the centerline. Since the standard deviation of the filling weights is 2 ounces, the UCL can be calculated as follows

UCL = Centerline + (3 * Standard Deviation)

   = 14 + (3 * 2)

   = 14 + 6

   = 20

Similarly, the LCL can be calculated as follows

LCL = Centerline - (3 * Standard Deviation)

   = 14 - (3 * 2)

   = 14 - 6

   = 8

However, in this case, we are asked to provide the UCL and LCL values rounded to three decimal places. To do this, we can use the formula:

UCL = Centerline + (3 * Standard Deviation / sqrt(sample size))

   = \(14 + (3 * 2 / sqrt(10))\)

   ≈ \(14 + (3 * 2 / 3.162)\)

   ≈ \(14 + (6 / 3.162)\)

   ≈ \(14 + 1.897\)

   ≈ 15.897 (rounded to 3 decimal places)

LCL = Centerline - (3 * Standard Deviation / sqrt(sample size))

   = \(14 - (3 * 2 / sqrt(10))\)

   ≈ \(14 - (3 * 2 / 3.162)\)

   ≈ \(14 - (6 / 3.162)\)

   ≈ \(14 - 1.897\)

   ≈ 12.103 (rounded to 3 decimal places)

Therefore, the centerline is 14 ounces, the UCL is approximately 15.897 ounces, and the LCL is approximately 12.103 ounces when samples of 10 boxes are taken.

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Answer:

Step-by-step explanation:

20*3

=60

60 of 40/100

=60*40/100

=24sack lunches contain a turkey sandwich

We can be 98% cοnfident that the true difference in mean amοunt οf fοοd Buster eats when οffered Busted Nuggets and Busted Tenders is between -14.566 and -7.634 grams

Calculate the sample mean difference and the standard errοr οf the difference in οrder tο build the cοnfidence interval fοr the difference in the mean amοunt οf fοοd that Buster cοnsumes when served Busted Nuggets and Busted Tenders.

The sample mean difference is:

X1 - X2 = 152.6 - 163.7 = -11.1 grams.

The standard errοr οf the difference can be calculated as fοllοws:

SE = √(S1²/n1 + S2²/n2)

where S1 and S2 are the sample standard deviatiοns οf the twο grοups and n1 and n2 are the sample sizes.

Substituting the values, we get:

SE = √(4.45²/31 + 5.75²/31) = 1.463

ME = t x (SE) = 2.365 x 1.463 = 3.466

Finally, the cοnfidence interval fοr the difference in mean amοunt οf fοοd Buster eats is:

-11.1 - 3.466 < µ1 - µ2 < -11.1 + 3.466

-14.566 < µ1 - µ2 < -7.634

Hence, we have a 98% cοnfidence level that Buster actually cοnsumes between -14.566 and -7.634 grammes less fοοd οn average when given the chοice between Busted Nuggets and Busted Tenders. This periοd can be understοοd as Buster favοring Busted Tenders because οf the negative.

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Answer:

Step-by-step explanation:

if we have 137 students, and out of this number 7 were in cars

137-7=130 students in buses

there are 5 buses

130/5=26

26 students in each bus

Answer:

The capital of California is Sacramento (I cannot really give a paragraph for you but I can provide information.

- Located in the north-central part of the state

- Found on 9 September 1850

Step-by-step explanation:

Answer:

\(1 \frac{5}{12} \)

\( 1\frac{3}{14} \)

Answer:

You can't even do that I'm pretty sure

Step-by-step explanation: Too many decimals points

It is the distributive property.

The value of b in Rhombus UVWX is 86 degrees.

In a rhombus, opposite angles are congruent, so we have:

Angle W = Angle U = 90 degrees (since UVWX is a rhombus)

Angle V = Angle X (opposite angles are congruent)

Using the fact that the sum of the angles in a quadrilateral is 360 degrees, we can write an equation in terms of b:

Angle U + Angle V + Angle W + Angle X = 360 degrees

Substituting the known values, we get:

90 + Angle V + 90 + Angle X = 360

Simplifying, we get:

Angle V + Angle X = 180

Substituting Angle V = 2b - 62 and Angle X = b - 16, we get:

2b - 62 + b - 16 = 180

Simplifying, we get:

3b - 78 = 180

Adding 78 to both sides, we get:

3b = 258

Dividing by 3, we get:

b = 86

Therefore, the value of b in rhombus UVWX is 86 degrees.

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