Pls help, it due ASAP.....pls show workings

Mathematics

1 answer:

Liono4ka [1.6K]2 years ago

3 0

Answer:

12 going across from point A to B and A to c is 14 so... 12+14=26

hope this helps!!! :)

Step-by-step explanation:

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.In the coordinate x,y the point x is calledorigin abscissa line y-axis

Dmitry [639]

Answer:

The x coordinate is known as abscissa (B)

Step-by-step Explanation:

In a Cartesian plane, we learn many such terms which represent a point, or a line, or cooridnates of some points etc $.$

Such terms are:

Origin (Intersection of x axis and y-axis.)
x - axis (Horizontal line)
y - axis (Vertical line)
abscisaa (x -coordinate)
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5 0

2 years ago

The red blood cell counts (in millions of cells per microliter) for a population of adult males can be approximated by a norma

skad [1K]

Answer:

(a) Minimum red blood cells 5.744 million cells per micro liter

(b) Maximum red blood cells 5.068 million cells per micro liter.

Step-by-step explanation:

Z-score formula is = $\frac{x-u}{Standard deviation}$

Z-score = $\frac{x-5.5}{0.4}$

The value of z-score is 0.61 so then x will be;

x = 5.744

The minimum red blood cells count that can in top is 27% of count which is 5.744 million cells per micro liter.

Z-score = $\frac{x-5.5}{0.4}$

The value of z-score is 0.14 so then x will be;

x = 5.068

The maximum red blood cells count that can be in top is 14% of count which is 5.068 million cells per micro liter.

6 0

3 years ago

Please help me with 5

Fantom [35]

Bluegill
3/5 × 1100
660

catfish
70% × (1100-660)
70% × 440
308

so not catfish or blue gill
1100 - (660 + 308) = 132

6 0

2 years ago

The time that a randomly selected individual waits for an elevator in an office building has a uniform distribution over the int

rewona [7]

Answer:

The mean of the sampling distribution of x is 0.5 and the standard deviation is 0.083.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .