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valkas [14]
3 years ago
15

Can some one help me please

Mathematics
1 answer:
Kryger [21]3 years ago
5 0

Answer:

yes with what?

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1) (3.1 x 10^1)(4.3 x 10^-6)​
allsm [11]

Answer:0.0001333

Step-by-step explanations :

8 0
3 years ago
Please im begging you guys please please do it for me please
Tasya [4]

When Jamie has $200 to purchase skateboard equipment, he will have spent more than 50 percent.

<h3>How to calculate the percentage?</h3>

From the information given, the total amount spent will be:

= $100 + $60 + $30 + $20 + $20 + $50 + $115

= $395

Since Jamie has $200 to purchase skateboard equipment, the percentage will be:

= 200/395

= 0.51

= 51%

Learn more about percentages on:

brainly.com/question/24304697

#SPJ1

6 0
2 years ago
Best known for its testing program, ACT, Inc., also compiles data on a variety of issues in education. In 2004 the company repor
GarryVolchara [31]

Answer:

\mu_p -\sigma_p = 0.74-0.0219=0.718

\mu_p +\sigma_p = 0.74+0.0219=0.762

68% of the rates are expected to be betwen 0.718 and 0.762

\mu_p -2*\sigma_p = 0.74-2*0.0219=0.696

\mu_p +2*\sigma_p = 0.74+2*0.0219=0.784

95% of the rates are expected to be betwen 0.696 and 0.784

\mu_p -3*\sigma_p = 0.74-3*0.0219=0.674

\mu_p +3*\sigma_p = 0.74+3*0.0219=0.806

99.7% of the rates are expected to be betwen 0.674 and 0.806

Step-by-step explanation:

Check for conditions

For this case in order to use the normal distribution for this case or the 68-95-99.7% rule we need to satisfy 3 conditions:

a) Independence : we assume that the random sample of 400 students each student is independent from the other.

b) 10% condition: We assume that the sample size on this case 400 is less than 10% of the real population size.

c) np= 400*0.74= 296>10

n(1-p) = 400*(1-0.74)=104>10

So then we have all the conditions satisfied.

Solution to the problem

For this case we know that the distribution for the population proportion is given by:

p \sim N(p, \sqrt{\frac{p(1-p)}{n}})

So then:

\mu_p = 0.74

\sigma_p =\sqrt{\frac{0.74(1-0.74)}{400}}=0.0219

The empirical rule, also referred to as the three-sigma rule or 68-95-99.7 rule, is a statistical rule which states that for a normal distribution, almost all data falls within three standard deviations (denoted by σ) of the mean (denoted by µ). Broken down, the empirical rule shows that 68% falls within the first standard deviation (µ ± σ), 95% within the first two standard deviations (µ ± 2σ), and 99.7% within the first three standard deviations (µ ± 3σ).

\mu_p -\sigma_p = 0.74-0.0219=0.718

\mu_p +\sigma_p = 0.74+0.0219=0.762

68% of the rates are expected to be betwen 0.718 and 0.762

\mu_p -2*\sigma_p = 0.74-2*0.0219=0.696

\mu_p +2*\sigma_p = 0.74+2*0.0219=0.784

95% of the rates are expected to be betwen 0.696 and 0.784

\mu_p -3*\sigma_p = 0.74-3*0.0219=0.674

\mu_p +3*\sigma_p = 0.74+3*0.0219=0.806

99.7% of the rates are expected to be betwen 0.674 and 0.806

5 0
3 years ago
Please I need help, I've been stuck in this for about 30 minutes now
Anna35 [415]

Answer:

look where infinity you have to write 5

Step-by-step explanation:

1, line of infinity 5

2. 7 8

3. 6 2

4. 0 1

5

6

7.7 8, 2 5, 6 3

4 0
2 years ago
Round 171,936 to the nearest ten thousand
hodyreva [135]

Answer:

Rounding = 170,000

3 0
2 years ago
Read 2 more answers
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