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natita [175]
3 years ago
7

Which is bigger 40% of 90 or 1/2 of 80

Mathematics
2 answers:
Nastasia [14]3 years ago
4 0


40 percent of 90 is smaller than 1/2 of 80

40% of 90= 40*90/ 100= 36

1/2 of 80= 80/2= 40

So 1/2 of 80 is bigger

Mazyrski [523]3 years ago
3 0
40%of  90 is 36  and 1/2 of 80 is 40 so  1/2 of 80 is bigger then 40% of 90
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At a local preschool, there is a ratio of 3 boys to every 4 girls. If there are 245 total preschoolers enrolled, then how many a
Reika [66]

Set up the equation by writing the number of students in the ratio as a fraction:

3/4= (245-x)/x Cross multiply:

3x= 4(245-x) Multiply on right:

3x= 980-4x Add 4x on both sides:

7x= 980 Divide both sides by 7:

x= 140 this is how many girls there are. And:

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5 0
2 years ago
Read 2 more answers
What are the measures of < 1 and < 2. Show your work or explain your answer.
VashaNatasha [74]

Answer:

m<1 = 105°

m<2 = 75°

Step-by-step explanation:

Since lines c and d are parallel to each other, therefore:

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Substitute

m<1 + 75° = 180°

Subtract 75 from both sides

m<1 = 180° - 75°

m<1 = 105°

4 0
3 years ago
Which equation has a slope of –3/2 and a y-intercept of 5?
Natasha_Volkova [10]
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M is always the slope
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7 0
3 years ago
If a time series plot exhibits a horizontal pattern, then
gogolik [260]

Answer: C. there is still not enough evidence to conclude that the time series is stationary.

Step-by-step explanation: First thing to note for a time series plot is that it is required to select a suitable forecast method for the data set being considered.

A stationary time series means that the process generating the data set has a constant mean and the variations are constant over time. This means all evidence is present leading to the conclusion that the entire time series is stationary. A stationary time series thus exhibits an horizontal pattern which enables an appropriate forecast method to be selected for this type of pattern.

A horizontal pattern of a time series plot indicates that a data set fluctuates around a constant mean for a period of time. This period of time may however not be the entire time of the time series or take the entire data set into consideration and might just be a reflection of a portion of the time series hence why it can not be explicitly considered to be stationary. This means that a horizontal pattern can change into a seasonal or trending pattern if more variables/data are added over time.

For instance, a manufacturer sells a certain amount of products over a 10 week period and the resulting pattern of a time series plot is horizontal, then from the 11th week to the 15th week he gets a sharp and continuous increase in sales. This change in level will therefore change the time series plot from horizontal to trending making it more difficult to select a suitable forecast method.

6 0
3 years ago
Write the equation in slope-intercept form using y=mx+b​
cricket20 [7]
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