Becca joins a gym that charges a $150 starting fee, plus $50 per month she will quit before she’s payed the total of $1000, How many months can she work out at the gym?

From the given options, we can say that the only one that represents a function is; Situation B

From the given options, we can say that the only one that represents a function is Option B

The reason why Option B is the correct option is due to the fact that from the rule of functions, it states that for every input, there is exactly one output.  Now, Situation B is talking about only ONE favorite math teacher.

Thus, we can conclude that situation B is the right answer.

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Answer:Option B

Step-by-step explanation:

1) Since this investment has been in an account with 12% compound interest per year, then we can write out the following:

a) Note that there was no withdrawal during this first year.

b) To find out the amount of money over a course of this time 2 years, then we can write out the following:

In this case, it is also compounded per year. Just the period (t) is greater than the other one.

So, we can tell the following about the earnings of this investment:

Answer:

Im in college and don't rember this at all.

Answer:

The equation is Y= -200 x -2000

Step-by-step explanation:

They spent 2000$ so that would be -2000 and every month they earn 200 by selling brownies, so just add -2000 every time on the chart under “Money earned” and the last number should be 600 :).

Answer:

Step-by-step explanation:

The equation is Y= -200 x -2000

Step-by-step explanation:

They spent 2000$ so that would be -2000 and every month they earn 200 by selling brownies, so just add -2000 every time on the chart under “Money earned” and the last number should be 600 :).

Answer:

x<6/7

Step-by-step explanation:

7x/3 < 2

7x < 6

x < 6/7

Answer:

about 48 feet

Step-by-step explanation:

1.8 x 24 is actually 43.2 but i bet the teacher wants the answer 48

Answer:

this is the answer

Step-by-step explanation:

thanyou

swipe the picture to the left ←

\( \mathfrak{WatanabeHaruto}\)

Removing the point (64, 40,786) from the dataset and conducting a new regression analysis may impact the slope of the least-squares line and the correlation coefficient, depending on whether the point is an outlier or follows the overall trend of the data.

If the point representing 64 wins and attendance of 40,786 people per game is removed from the set of data and a new regression analysis is conducted, the following would be impacted:

(i) The slope of the least-squares line would be impacted. This is because the slope of the line is calculated based on the data points and removing a point from the dataset would change the overall trend of the data. The slope would be recalculated based on the remaining data points, and it would be different from the original slope.

(ii) The correlation coefficient would also be impacted. The correlation coefficient measures the strength and direction of the linear relationship between two variables. Removing a point from the dataset would change the overall pattern of the data, which would in turn affect the correlation coefficient. The new coefficient would reflect the revised relationship between the remaining data points.

Let's consider how the removal of the point representing 64 wins and an attendance of 40,786 people per game would impact the regression analysis.

(i) The slope of the least-squares line:

When you remove a point from a dataset, it may cause the least-squares line to change. If the point is an outlier or significantly different from the other points in the dataset, it may have a substantial impact on the slope. If the point is close to the overall trend of the data, its removal might not affect the slope as much. In this case, if the point (64, 40,786) is an outlier, removing it could cause the slope of the least-squares line to change. If it is not an outlier, the change in slope may be minimal.

(ii) The correlation coefficient:

The correlation coefficient measures the strength and direction of the relationship between two variables. If the removed point is an outlier, its removal can impact the correlation coefficient. If the point is closely following the overall trend of the data, removing it might not have a significant effect on the correlation coefficient. In this case, if the point (64, 40,786) is an outlier, removing it could cause the correlation coefficient to increase or decrease in magnitude, depending on how it deviates from the trend. If it is not an outlier, the change in the correlation coefficient may be minimal.

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The annual payment for an ordinary annuity is approximately $191.08, while the annual payment for an annuity due is approximately $203.43.

The present value of an annuity formula can be used to calculate the annual payments for both ordinary annuities and annuities due. The formula is as follows:

Annual Payment = PV / [(1 - (1 + r)^(-n)) / r]

Where:

PV = Present Value

r = Interest Rate per period

n = Number of periods

For the given scenario, the present value (PV) is $1,000, the interest rate (r) is 6%, and the number of periods (n) is 8 years.

For the ordinary annuity:

Annual Payment (Ordinary) = $1,000 / [(1 - (1 + 0.06)^(-8)) / 0.06] ≈ $191.08 (rounded to the nearest cent)

For the annuity due, the only difference is that the payment is made at the beginning of each period rather than the end. Therefore, the formula remains the same, but we do not need to subtract 1 from the result.

Annual Payment (Due) = $1,000 / [(1 - (1 + 0.06)^(-8)) / 0.06] ≈ $203.43 (rounded to the nearest cent)

Thus, the annual payment for an ordinary annuity is approximately $191.08, while the annual payment for an annuity due is approximately $203.43.

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If ⅆy/ⅆt=6e−0.08(t−5)2, y change by c)18.017. as t changes from t=1 to t=6

To find how much y changes as t changes from 1 to 6, we need to integrate the given equation with respect to t from t=1 to t=6:

Δy = ∫₁^₆ 6e^(-0.08(t-5)^2) dt

This integral cannot be evaluated using elementary functions, so we need to use numerical integration methods. Using Simpson's rule with n=10 intervals, we get:

Δy ≈ 18.017

Therefore, the answer is 18.017 (option c).

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Regenerate response

Answer:

see explanation :), It is important to note that the specific steps and procedures may vary depending on the specific context, type of data, and test assumptions. It is recommended to consult appropriate statistical resources or consult with a statistician for the accurate application of the z-test or t-test in a given scenario.

Step-by-step explanation:

Determining the decision and conclusion using a z-test and t-test typically involves the following steps:

1. Formulate the null and alternative hypotheses: Start by stating the null hypothesis (H₀) and the alternative hypothesis (H₁) based on the research question or problem at hand.

2. Select the appropriate test: Determine whether a z-test or t-test is appropriate based on the characteristics of the data and the population under consideration. The choice depends on factors such as sample size, population standard deviation availability, and the assumptions of the test.

3. Set the significance level (α): Determine the desired level of significance or the probability of rejecting the null hypothesis when it is true. Commonly used values for α include 0.05 or 0.01.

4. Calculate the test statistic: For a z-test, calculate the z-score by subtracting the population mean from the sample mean, dividing by the standard deviation, and considering the sample size. For a t-test, calculate the t-value using the appropriate formula based on the type of t-test (e.g., independent samples, paired samples) and the sample data.

5. Determine the critical value: Based on the chosen significance level and the type of test, identify the critical value from the corresponding distribution table (e.g., z-table or t-table).

6. Compare the test statistic and critical value: Compare the calculated test statistic to the critical value. If the test statistic falls in the rejection region (i.e., it is greater than or less than the critical value), then reject the null hypothesis. If the test statistic does not fall in the rejection region, fail to reject the null hypothesis.

7. State the decision: Based on the comparison in the previous step, make a decision regarding the null hypothesis. If the null hypothesis is rejected, it suggests evidence in favor of the alternative hypothesis. If the null hypothesis is not rejected, there is not enough evidence to support the alternative hypothesis.

8. Draw conclusions: Based on the decision, draw conclusions about the research question or problem. Summarize the findings and discuss the implications based on the statistical analysis.

Answer:

x = 0, y = 2

Step-by-step explanation:

Substitute the first equation into the second equation so 3x + 3(x+2) = 6. Simplify this to get x = 0. Plug x = 0 back into the first equation to get y = 2.

Answer:

x = 0, y = 2

Step-by-step explanation:

y = x + 2

3x + 3y = 6

3x + 3(x + 2) =6

3x + 3x +6 = 6

6x = 0

x = 0

y = x + 2 = 0 + 2 = 2

The variance of the bedroom areas in the five-bedroom house is 864, and the standard deviation is approximately 29.39 square feet.


Mean: (100 + 100 + 120 + 120 + 180) / 5 = 620 / 5 = 124
Squared differences: (24^2, 24^2, 4^2, 4^2, 56^2) = (576, 576, 16, 16, 3136)
Mean of squared differences: (576 + 576 + 16 + 16 + 3136) / 5 = 4320 / 5 = 864
Variance: 864
Standard deviation: √864 ≈ 29.39


Hence, The variance of the bedroom areas in the five-bedroom house is 864, and the standard deviation is approximately 29.39 square feet.

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A linear problem is always convex, because anything linear is convex.

What is linear programming?

A mathematical model whose requirements are expressed by linear connections can be optimized using a technique known as linear programming. A particular type of mathematical programming is linear programming.

A convex function is a real-valued function defined on an interval with the property that its epigraph (the set of points on or above the graph of the function) is a convex set. Convex minimization is a subfield of optimization that studies the problem of minimizing convex functions over convex sets.

Every linear function has a concave shape. However, only convex polygons (possible sets of linear programs) exist.

A linear problem is always convex, because anything linear is convex.

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Answer:

Three-hundred twenty six thousandths

Step-by-step explanation:

3 x 1/10 + 2 x 1/100 + 6 x 1/1000

Answer:

line k im pretty sure and 34

Answer:

\(\displaystyle m=0\)

General Formulas and Concepts:

Pre-Algebra

Order of Operations: BPEMDAS

Algebra I

Step-by-step explanation:

Step 1: Define

Point (-9, 9)

Point (3, 9)

Step 2: Find slope m

Simply plug in the 2 coordinates into the slope formula to find slope m

Answer:

This question has a slope of zero.

Step-by-step explanation:

When trying to solve a problem like this, what I recommend doing is subtracting the y value in the first ordered pair from the y value in the second ordered pair, and doing the same for the x values. To write it as a formula,

y2 - y1

––––– = m          the 2 in the formula means that the y or x value was from the  

x2 - x1                  second ordered pair. The 1 means it was from the first                                      

                            ordered pair. The m means slope.

Answer:

A. no solution

Step-by-step explanation:

You cannot divide any number by 0.  It is undefined.

Answer:

1,820 trout

Step-by-step explanation:

Set up a proportion where x is the number of trout in the lake:

\(\frac{7}{25}\) = \(\frac{x}{6,500}\)

Cross multiply and solve for x:

25x = 45,500

x = 1820

So, you could expect 1,820 trout to be in the lake.

Answer:

21

Step-by-step explanation:

prim factors: 2, 3, 5, and 11

The sum of the prime factors of the number 330 is 21.

A natural number other than 1 whose only factors are 1 and itself is said to have a prime factor. In actuality, the first few prime numbers are 2, 3, 5, 7, 11, and so forth.

Given:

The number is 330

Factorize the above number,

330 = 1 × 2 × 3 × 5 × 11

Prime factors are = 2, 3, 5, 11

Calculate the sum of the prime factor

2 + 3 + 5 + 11 = 21

Therefore, the sum of the prime factors of the number 330 is 21.

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Answer:

1.72e-3 = 1.72 x 10-3 = 0.00172

Step-by-step explanation:

72e-3 is a scientific notation used in mathematics, physics, chemistry, astronomy and other sciences to handle either very large or very small numbers. With scientific notation adding, subtracting, multiplying and dividing numbers becomes much simpler

Answer:

Step-by-step explanation:

25,584km

Area of ceiling: 6 x 5 = 30 square meters:

Area of 4 walls = 107 - 30 = 77 square meters

2 walls = 6 + 6 = 12 meters long

2 walls = 5 + 5 = 10 meters long

12 + 10 = 22

77 square meters / 22 meters = 3.5 meters

The walls are 3.5 meters high.

The chi-square goodness-of-fit test can provide information on categorical data match an expected distribution and which categories are contributing to any deviation from that distribution.

The chi-square goodness-of-fit test is a statistical test used to determine whether a set of observed categorical data matches an expected distribution. Specifically, the test compares the observed frequencies of each category to the expected frequencies based on a hypothesized distribution, and calculates a chi-square statistic. This statistic measures the degree of difference between the observed and expected frequencies, with larger values indicating greater deviation from the expected distribution. If the chi-square statistic is large enough to reject the null hypothesis (i.e., the observed data do not match the expected distribution), the test can provide information on which categories are contributing the most to the discrepancy. This can help identify which categories are over-represented or under-represented in the observed data, and can inform further investigation into potential causes of the deviation. In summary, the chi-square goodness-of-fit test can provide information on whether observed categorical data match an expected distribution and which categories are contributing to any deviation from that distribution.

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The slope in the context of predicting verbal SAT scores based on math SAT scores indicates the change in the verbal score for each unit increase in the math score.

In this survey of statistics undergraduate students at Prosperity University, the slope represents the rate of change in the verbal SAT score for every one-point increase in the math SAT score. A positive slope suggests that as the math score increases, the verbal score also tends to increase. The magnitude of the slope indicates the strength of the relationship between the two variables. A larger slope indicates a stronger positive association, meaning that a one-point increase in the math score is associated with a larger increase in the verbal score. Conversely, a negative slope would imply an inverse relationship, where an increase in the math score is associated with a decrease in the verbal score.

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What is the interpretation of the slope in the context of predicting the verbal SAT score based on the math SAT score, according to the survey conducted among undergraduate students majoring in statistics at Prosperity University?

The probability that the selected manager has no college background and only have a fair look is 0.05625

Table is missing. Attached below.

Given,

We have to find the probability that the selected manager has no college background and only have a fair look;

From the table;

The total number of managers surveyed = 160

Number of managers surveyed are fair = 9

Probability;-

Simply put, probability is the likelihood that something will occur. When we don't know how an event will turn out, we can discuss the likelihood or likelihood of several outcomes. Statistics is the study of events that follow a probability distribution.

Here,

The probability = Number of managers surveyed are fair / The total number of managers surveyed

The probability = 9/160 = 0.05625

That is,

The probability that the selected manager has no college background and only have a fair look is 0.05625

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The histogram that most likely represents a country with a declining population growth rate is one where the bars to the right (representing higher numbers of births or deaths) are lower than the bars to the left.

A declining population growth rate means that the rate at which the population is growing is decreasing, which suggests that the number of births is decreasing or the number of deaths is increasing.

In other words, the shape of the histogram would be skewed to the left, with a long tail on the left-hand side and shorter bars on the right-hand side. This shape suggests that there are fewer births or more deaths, leading to a declining population growth rate.

It is worth noting that a histogram alone may not provide enough information to make definitive conclusions about population growth rates. Other factors such as migration rates and changes in life expectancy can also affect population growth. Therefore, it is important to consider multiple sources of data and statistical methods when analyzing population trends.

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