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professor190 [17]
3 years ago
15

Could someone please help me and fast?

Mathematics
1 answer:
grandymaker [24]3 years ago
5 0

Answer:

141

Step-by-step explanation:

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Can someone help me solve this?
Virty [35]

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Her brothers pulse rate is 76.

Step-by-step explanation:

95% of 80 is 76. That only means that her brother's pulse rate must be 76 beats per minute.

8 0
2 years ago
Which is an irrational number
Rufina [12.5K]

Answer:

An irrational number is any number than cannot be written in the form p/q, where q is 0 Ex. pi, non-perfect squares

Step-by-step explanation:

In this case D. isn't rational but is irrational

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3 years ago
HURRY PLEASE! Which expression is equivalent to ^4sqrt6/^3sqrt2?<br><br> (options in the image)
melamori03 [73]

Answer:

According to the given problems the one that gets closer is the first option. ^12sqrt27/2

Step-by-step explanation:

<em>Simplify the radical by breaking the radicand up into a product of known factors.</em>

The answer for the first question is 12 √ 27 / 2


6 0
3 years ago
Read 2 more answers
A car travels 88 miles in 2 hours (with a constant speed). How much time will it take traveling 360 miles?
n200080 [17]

Answer:

5hat is so easy

Step-by-step explanation:

that is so esy

8 0
3 years ago
The following probability distributions of job satisfaction scores for a sample of information systems (IS) senior executives an
Mashcka [7]

Answer:

Step-by-step explanation:

To calculate ;

1) the expected value of the job satisfaction score for senior executives ;

expected value = Summation (Px)

= 1 x 0.05 + 2 x 0.09 + 3 x 0.03 + 4 x 0.42 + 5 x 0.41

= 4.05

2) the expected value of the job satisfaction score for middle managers;

= 1 x 0.04 + 2 x 0.10 + 3 x 0.12 + 4 x 0.46 + 5 x 0.28

= 3.84

c) the variance of job satisfaction scores for executives and middle managers (to 2 decimals).

Executives ; Variance = Summation(PX^2 - Summation(PX)^2

i) For Executive Managers = 1 x 0.05 + 2^2 x 0.09 + 3^2 x 0.03 + 4^2 x 0.42 + 5^2 x 0.41 - 4.05^2 = 1.246 = 1.25

ii) for middle managers ; 1 x 0.04 + 2^2 x 0.10 + 3^2 x 0.12 + 4^2 x 0.46 + 5^2 x 0.28 - 3.84^2 = 1.134 = 1.13

d) the standard deviation of job satisfaction scores for both probability distributions (to 2 decimals). Executives, Middle managers;

For Executives = square root [ 1 x 0.05 + 2^2 x 0.09 + 3^2 x 0.03 + 4^2 x 0.42 + 5^2 x 0.41 - 4.05^2] = 1.12

For Middle Managers ; Square root [1 x 0.04 + 2^2 x 0.10 + 3^2 x 0.12 + 4^2 x 0.46 + 5^2 x 0.28 - 3.84^2 ] = 1.06

e) from the values gotten for the variance of both executive and middle managers, the variance of the former is more than that of the latter as such higher satisfaction with the executive managers.

5 0
3 years ago
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