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Licemer1 [7]
3 years ago
8

A(-2,3) B(2,3) C(2,-3) D(-2,-3) Math question please help

Mathematics
1 answer:
Snowcat [4.5K]3 years ago
3 0
The number on the left is the x, and the number on the right is the y. so if the x is negative, then it would be on the x axis line. and you always use the x line first.
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(1 point) A recent report for a regional airline reported that the mean number of hours of flying time for its pilots is 56 hour
Ray Of Light [21]

Answer:

(53.812 ; 58.188) ; 156

Step-by-step explanation:

Given that :

Sample size (n) = 51

Mean (m) = 56

Standard deviation (σ) = 9.5

α = 90%

Using the relation :

Confidence interval = mean ± Error

Error = Zcritical * (standard deviation / sqrt (n))

Zcritical at 90% = 1.645

Error = 1.645 * (9.5 / sqrt(51))

Error = 1.645 * 1.3302660

Error = 2.1882877

Hence,

Confidence interval :

Lower boundary = 56 - 2.1882877 = 53.8117123

Upper boundary = 56 + 2.1882877 = 58.1882877

Confidence interval = (53.812 ; 58.188)

2.)

Margin of Error (ME) = 1.25

α = 90%

Sample size = ((Zcritical * σ) / ME)^2

Zcritical at 90% = 1.645

Sample size = ((1.645 * 9.5) / 1.25)^2

Sample size = (15.6275 / 1.25)^2

Sample size = 12.502^2 = 156.3000

Sample size = 156

3 0
3 years ago
the figure below shows two half-circles at the ends of a rectangle with the dimensions shown. which is the closet to the area of
Pani-rosa [81]
You get 92.56 <span>You add the area of the rectangle to the area of a circle

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8 0
3 years ago
Marking as brainliest !!!!
stepan [7]

Step-by-step explanation:

The diameter of the circle is 4 inches so its radius r is 2 inches. The area of the circle is

A = \pi r^2 = \pi(2\:\text{in})^2 = 12.57\:\text{in}^2

The circumference C of the circle is

C = 2\pi r = 2\pi(2\:\text{in}) = 12.57\:\text{in}

8 0
3 years ago
How is 8/15 written as a mixed number?​
babymother [125]

Answer:

8/15 is already a proper fraction, therefore it cannot be converted to a mixed number. Hope this helps!

Step-by-step explanation:

7 0
2 years ago
I need help with linear regression ​
frutty [35]

Answer:

<em>In statistics, linear regression is a linear approach to modelling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables). The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression. This term is distinct from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable.</em>

6 0
3 years ago
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