2730/10,000 in decimal notation is 0.273
Answer:
well, there are 52 weeks in a year, so if you just multiply the pounds of cans by the amount of years, you get 1,300
Step-by-step explanation:
*sigh*
Long way:
2(x-3)(x+3) = 2(x*x + 3*x - 3*x - 3*3)
2(x-3)(x+3) = 2(x^2 - 9)
2(x-3)(x+3) = 2x^2 - 2*9
2(x-3)(x+3) = 2x^2 - 18
Shortcut way:
Using formula (x+a)(x-a) = x^2 - a^2, where a = 3, in the case of (x+3)(x-3), so we have
(x+3)(x-3) = x^2 - 9.
Then, we multiply that by 2, which gives 2x^2 - 18.
Answer:
- 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
- Number of customers/spectators attending the last 100 matches
This data will help the stadium know the current trend ( either increasing of decreasing ) number of the spectators who visit the stadium
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- The data can be collected via the exit time entries at the exit gate of the stadium
- history of ticket sold over the last 100 matches
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we have to conduct a hypothesis test assuming that a spectator watches a match for more than 180 minutes with an assumed standard deviation
we can also use regression analysis and line of best fit to check for the trends
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
- Number of customers/spectators attending the last 100 matches
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>
- The data can be collected via the exit time entries at the exit gate of the stadium
- history of ticket sold over the last 100 matches
<u>how to apply the data</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
we can also use regression analysis and line of best fit to check for the trends
Answer: a) , where 'A' is the value of car after 't' years.
b) $12446.784
Step-by-step explanation:
Given: A new car that sells for $21,000 depreciates (decreases in value) 16% each year.
Then a function that models the value of the car will be
, where 'P' is the selling price of car, 'r' is the rate of depreciation in decimal, 't' is the time in years and 'A' is the value of car after 't' years.
Thus after substituting given value, the function becomes
To find the value after 3 years, substitute t=3 in the above function.
Hence the value of car after 3 years=$12446.784