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Advocard [28]
3 years ago
14

472,558 to the nearest hundred thousand

Mathematics
2 answers:
seraphim [82]3 years ago
7 0
500,000 is the correct answer. 
Marrrta [24]3 years ago
4 0
473,000 u round up to the next thousand
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100 EASY POINTS!!! Please include an explanation :)
Nezavi [6.7K]

Answer:

Choice C

Step-by-step explanation:

f: initial value of 200 decreasing at a rate of 4%

g: initial value of 40 increasing at a rate of 8%

f is decreasing so it must go down starting at 200

That eliminates a and d

g is increasing and starts at 40  That eliminates a

We must look at b and c

g is increasing faster than f is decreasing

Choice C

6 0
3 years ago
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A random sample of 18 graduates of a certain secretarial school typed an average of 80.6 words per minute with a standard deviat
insens350 [35]

Answer: ( 77.27 , 83.93)

Therefore at 95% confidence/prediction interval is

= ( 77.27 , 83.93)

Step-by-step explanation:

Confidence interval can be defined as a range of values so defined that there is a specified probability that the value of a parameter lies within it.

The confidence interval of a statistical data can be written as.

x+/-zr/√n

Given that;

Mean x = 80.6 words per minute

Standard deviation r = 7.2

Number of samples n = 18

Confidence interval = 95%

z(at 95% confidence) = 1.96

Substituting the values we have;

80.6+/-1.96(7.2/√18)

80.6+/-1.96(1.697056274847)

80.6 +/- 3.33

= ( 77.27 , 83.93)

Therefore at 95% confidence/prediction interval is

= ( 77.27 , 83.93)

7 0
3 years ago
Simplify the expression-9(-8p+12)-6p
lana [24]

Answer:

219.345115

Step-by-step explanation:

-9(-8p+12)-6p

= 219.345115

6 0
3 years ago
A DVD player with a list price of $100 is marked down 30%. If John gets an employee discount of 20% off the sale price, how much
77julia77 [94]
30% = 0.30
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7 0
3 years ago
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Michael Beasley is shooting free throws. Making or missing free throws doesn't change the probability that he will make his next
Elodia [21]

Answer: C.  0.75^4

Step-by-step explanation:

Let x be the binomial variable that denotes the number of makes.

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So X\sim Bin(n=4 , p=0.75)

Binomial distribution formula: The probability of getting x success in n trials :

P(X=x)=^nC_xp^n(1-p)^{n-x} , where p = probability of getting success in each trial.

Then, the probability of Michael Beasley making all of his next 4 free throw attempts will be :

P(X=4)=^4C_4(0.75)^4(1-0.75)^{0}

=(1)(0.75)^4(1)\ \ [\because\ ^nC_n=1]\\\\=(0.75)^4

Thus, the probability of Michael Beasley making all of his next 4 free throw attempts is =0.75^4

Hence, the correct answer is C.  0.75^4.

4 0
3 years ago
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