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Naddik [55]
4 years ago
11

**50 POINTS!!! WILL GIVE BRAINLIEST!!!**

Mathematics
1 answer:
lorasvet [3.4K]4 years ago
5 0
<h3>Given</h3>

The values of two houses (in thousands of dollars)

\left[\begin{array}{c|cccc}\text{year}&0&1&2&3\\\text{value 1}&286&294.58&303.4174&312.51992\\\text{value 2}&286&295&304&313\end{array}\right]

<h3>Find</h3>

A) the nature of the function, linear or exponential, that can be used to model the value after x years

B) the actual function f(x) that can be used in each case

C) f(25) for each house. Is there a significant difference?

<h3>Solution</h3>

A) The oddball numbers give you a clue immediately that the value of house 1 will be best modeled by an exponential function.

The value of house 2 is increasing steadily at 9,000 per year, so is modeled by a linear function.

B) The ratio of values from a given year to the year before for house 1 is

... 294.58/286 = 1.03

A check for other years reveals the same ratio, so the exponential function can be written for house 1 as

... f(x) = 286·1.03^x . . . . . value of house 1

In part A we determined the year-to-year difference in value for house 2 is 9,000. That is the slope of the linear function. Then (in thousands), that function is

... f(x) = 286 +9x . . . . . value of house 2

C) After 25 years, the house values are (in thousands of dollars)

f_1(25)=286\cdot 1.03^{25}\approx 598.82049\\\\f_2(25)=286+9\cdot 25=511.00000

The value of house 1 has more than doubled in the same time that the value of house 2 has increased by about 79%. This is a significant difference.

___

An exponential function will always outperform a linear function over a long enough time period.

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mamaluj [8]
The probability that a normally distributed dataset with a mean, μ, and statndard deviation, σ, exceeds a value x, is given by

P(X\ \textgreater \ x)=1-P(X\ \textless \ x)=1-P\left(z\ \textless \  \frac{x-\mu}{\frac{\sigma}{\sqrt{n}}} \right)

Given that t<span>he weight of corn chips dispensed into a 14-ounce bag by the dispensing machine is a normal distribution with a mean of 14.5 ounces and a standard deviation of 0.2 ounce.

</span>If <span>100 bags of chips are randomly selected the probability that the mean weight of these 100 bags exceeds 14.6 ounces is given by

P(X\ \textgreater \ 14.6)=1-P\left(z\ \textless \  \frac{14.6-14.5}{\frac{0.2}{\sqrt{100}}} \right) \\  \\ =1-P\left(z\ \textless \  \frac{0.1}{\frac{0.2}{10}} \right)=1-P\left(z\ \textless \  \frac{0.1}{0.02} \right) \\  \\ =1-P(z\ \textless \ 5)=1-1=0

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7 0
3 years ago
Your client has asked you to evaluate customers attending the games for a professional football team. The stadium is interested
ZanzabumX [31]

Answer:

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This data would show if spectators only come to the stadium and stay until the end of the game when their favorite teams are playing

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This data will help the stadium know the current trend ( either increasing of decreasing ) number of the spectators who visit the stadium

<u />

  • The data can be collected via the exit time entries at the exit gate of the stadium
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<u />

we have to conduct a hypothesis test assuming that a spectator watches a match for more than 180 minutes with an assumed standard deviation

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Step-by-step explanation:

Aim : The Aim of the stadium is Increasing revenue generated in the stadium and some of the ways to achieve such is by taking specific data as regards the customers/spectators who visit the stadium

<u>The type of data that could be collected from the fans to be used in multiple regression model:</u>

  • Number of spectators who leave the stadium before 180 minutes

This data would show if spectators only come to the stadium and stay until the end of the game when their favorite teams are playing

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This data will help the stadium know the current trend ( either increasing of decreasing ) number of the spectators who visit the stadium

<u>How can the data be collected </u>

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<u>how to apply the data</u>

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4 0
3 years ago
Yea someone just help me again.
Tema [17]
Answer: x= 83

Why? It’s on a straight line which is 180 degrees so take 97 and subtract it from 180
180-97=x
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Hope this helps
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The appropriate formula applying to this situation includes a "t" term which is not present in yours.  Start with this:

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Here are the answers and how i solved them

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