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Serhud [2]
3 years ago
7

The rectangular prism below has a length of 18 inches, a width of 24 inches, and a height of 12 inches. what is the surface area

of the 8 sided figure
Mathematics
2 answers:
MAVERICK [17]3 years ago
7 0
The rectangular prism should be 1,872 inches
sammy [17]3 years ago
3 0
The surface area should be 1,872 Inches
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A track team has 64 members. There are 18 more boys than girls on the team. How many girls are on the track team?
AlekseyPX

Answer:

23

Step-by-step explanation:

64 divided by 2 = 32

(32 - 9)=23

(32+9)= 41

3 0
3 years ago
Write an explicit equation for the arithmetic sequence<br> 3,7,11,15,19
Serggg [28]

Answer:

Arithmetic Sequence:  

d=4

Step-by-step explanation:

This is an arithmetic sequence since there is a common difference between each term. In this case, adding  4 o the previous term in the sequence gives the next term. In other words, aₙ=a₁+d(n-1)

6 0
3 years ago
PLEASE HELP!<br><br> Reduce to simplest form.<br> 5/8 - (- 7/2)
Daniel [21]

Answer:

\huge\boxed{\sf 4\frac{1}{8} }

Step-by-step explanation:

\sf =\frac{5}{8} - (-\frac{7}{2} )\\\\Rule : ( - *- = +)\\\\\=\frac{5}{8} +\frac{7}{2} \\\\LCM = 8\\\\\=\frac{5+28}{8} \\\\\=\frac{33}{8} \\\\=4\frac{1}{8}

\sf =\frac{5}{8}+ \frac{7}{2}  \\\\=\frac{5+28}{8}

\sf =\frac{33}{8} \\\\=4\frac{1}{8}

Hope this helped!

<h2>~AnonymousHelper1807</h2>
7 0
3 years ago
the average person takes about 30,000 breaths per day. express this number as a single digit integer times a power of 10
NNADVOKAT [17]

Answer:

3 * 10^4

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
The number of events is 29​, the number of trials is 298​, the claimed population proportion is​ 0.10, and the significance leve
Nina [5.8K]

Answer:

z=\frac{0.0973 -0.1}{\sqrt{\frac{0.1(1-0.1)}{298}}}=-0.155  

p_v =2*P(Z  

And we can use excel to find the p value like this: "=2*NORM.DIST(-0.155;0;1;TRUE)"

So the p value obtained was a very high value and using the significance level given \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion of interest is not significantly different from 0.1 .  

Step-by-step explanation:

1) Data given and notation

n=298 represent the random sample taken

X=29 represent the events claimed

\hat p=\frac{29}{298}=0.0973 estimated proportion

p_o=0.1 is the value that we want to test

\alpha=0.05 represent the significance level

Confidence=95% or 0.95

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the proportion is 0.1 or no.:  

Null hypothesis:p=0.1  

Alternative hypothesis:p \neq 0.1  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

3) Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.0973 -0.1}{\sqrt{\frac{0.1(1-0.1)}{298}}}=-0.155  

4) Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The next step would be calculate the p value for this test.  

Since is a bilateral test the p value would be:  

p_v =2*P(Z  

And we can use excel to find the p value like this: "=2*NORM.DIST(-0.155;0;1;TRUE)"

So the p value obtained was a very high value and using the significance level given \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion of interest is not significantly different from 0.1 .  

We can do the test also in R with the following code:

> prop.test(29,298,p=0.1,alternative = c("two.sided"),conf.level = 1-0.05,correct = FALSE)

7 0
3 years ago
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