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Bad White [126]
2 years ago
8

H(x)=x2+0.5 (the 2 is square)

Mathematics
1 answer:
Nesterboy [21]2 years ago
3 0

Answer:

Step-by-step explanation:

h(x)=x^2+0.5

What do you want to do with the function, as there is no question included?

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A
KATRIN_1 [288]

Answer:

D. Zacpszcap. is probably the answer

7 0
3 years ago
What is the rounded amount 3.56- to the nearest dollar
Semenov [28]

Answer: $4.00

Step-by-step explanation: 56 ronded to to the nearest hundredths equal to 100. 1+3=4

8 0
3 years ago
Simplify and Explain Sum:<br> -7 + 9 - 3 * 6 -(5 + 9) ÷ 7
tiny-mole [99]

Answer:

-18

Step-by-step explanation:

solution....BODMAS

brackets. 5+9

-7+9-3*6-14×7

division 14÷7

multiplication. 3x6

-7+9-18-2

9-27

ans is -18

5 0
3 years ago
Ian and his brother are driving from city A to city B. The two cities are 282 miles apart. Ian drives at 47 miles per hour. How
leva [86]
I got 6 hours for this one.
6 0
3 years ago
A given population proportion is .25. What is the probability of getting each of the following sample proportions
anyanavicka [17]

This question is incomplete, the complete question is;

A given population proportion is .25. What is the probability of getting each of the following sample proportions

a) n = 110 and = p^ ≤ 0.21, prob = ?

b) n = 33 and p^ > 0.24, prob = ?

Round all z values to 2 decimal places. Round all intermediate calculation and answers to 4 decimal places.)

Answer:

a) the probability of getting the sample proportion is 0.1660

b) the probability of getting the sample proportion is 0.5517

Step-by-step explanation:

Given the data in the questions

a)

population proportion = 0.25

q = 1 - p = 1 - 0.25 = 0.75

sample size n = 110

mean = μ = 0.25

S.D = √( p( 1 - p) / n ) = √(0.25( 1 - 0.25) / 110 ) √( 0.1875 / 110 ) = 0.0413

Now, P( p^ ≤ 0.21 )

= P[ (( p^ - μ ) /S.D) < (( 0.21 - μ ) / S.D)

= P[ Z < ( 0.21 - 0.25 ) / 0.0413)

= P[ Z < -0.04 / 0.0413]

= P[ Z < -0.97 ]

from z-score table

P( X ≤ 0.21 ) = 0.1660

Therefore, the probability of getting the sample proportion is 0.1660

b)

population proportion = 0.25

q = 1 - p = 1 - 0.25 = 0.75

sample size n = 33

mean = μ = 0.25

S.D = √( p( 1 - p) / n ) = √(0.25( 1 - 0.25) / 33 ) = √( 0.1875 / 33 ) = 0.0754

Now, P( p^ > 0.24 )  

= P[ (( p^ - μ ) /S.D) > (( 0.24 - μ ) / S.D)

= P[ Z > ( 0.24 - 0.25 ) / 0.0754 )

= P[ Z > -0.01 / 0.0754  ]

= P[ Z > -0.13 ]

= 1 - P[ Z < -0.13 ]

from z-score table

{P[ Z < -0.13 ] = 0.4483}

1 - 0.4483

P( p^ > 0.24 )  = 0.5517

Therefore, the probability of getting the sample proportion is 0.5517

6 0
3 years ago
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