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nignag [31]
3 years ago
10

Multiply and simplify: b3 • b • b4 • b2

Mathematics
2 answers:
NeTakaya3 years ago
6 0
Just add 3, 1, 4, and 2 which will give you b^10 :)
Luden [163]3 years ago
5 0
Are those supposed to be exponents? When multiplying exponents you add them together

b^3 * b^1 * b^4 * b^2  
3 + 1 + 4 + 2 = 10

Answer: b^10
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HELP ASAP!!! For the cube, x represents a positive whole number. Find the value of x such that the volume of the cube and 6 time
jonny [76]
Volume = wlh=x^3
surface area= 6x^2
x^3=6x^2
Divide by ^2 on both sides
x=6

7 0
3 years ago
There are 19 boxes of cherries. This is 5 less than twice the number of boxes of kiwis. How many boxes of kiwis are there?
sasho [114]
All you have to do is 19+5 because it is 5 less. 19 is 5 less than the kiwis. so 19+5= 24.  


There is 24 boxes of kiwis
8 0
3 years ago
Read 2 more answers
A population of insects increases at a rate of 1.5% per day. About how long will it take the population to double?
never [62]

The <em><u>correct answer</u></em> is:

46.6 days

Explanation:

The general form for exponential growth is

A=p(1+r)^t, where A is the total amount, p is the initial amount, r is the percent of growth, and t is the amount of time (in this case, days).

We do not know the initial amount, the total amount, or the amount of time.  We do know that r, the percent of growth, is 1.5%; 1.5% = 1.5/100 = 0.015:

A=p(1+0.015)^t

We also know we want the total amount, A, to be twice that of the initial amount, p:

2p = p(1+0.015)^t&#10;\\&#10;2p=p(1.015)^t

Divide both sides by p:

\frac{2p}{p}=\frac{p(1.015)^t}{p}&#10;\\&#10;\\ 2=1.015^t

Using logarithms to solve this,

\log_{1.015}(2)=t&#10;\\&#10;\\46.6=t

8 0
3 years ago
Read 2 more answers
HELP PLS GUYS ANYONE PLSSSSSS-h
7nadin3 [17]

Answer:

1 5/24

Step-by-step explanation:

5/6 + 3/8

LCM of 6&8=24

(5/6)*4 =20/24

(3/8)*3=9/24

20+9/24= 29/24

QRD(Quotuient,Reminder,Divisor)

= 1 5/24

B.

6 0
2 years ago
Read 2 more answers
A TV station claims that 38% of the 6:00 - 7:00 pm viewing audience watches its evening news program. A consumer group believes
Elena L [17]

Answer:

z=\frac{0.340 -0.38}{\sqrt{\frac{0.38(1-0.38)}{830}}}=-2.374  

p_v =P(Z  

So the p value obtained was a very low value and using the significance level given \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of people that regularly watch the TV station’s news program is significantly less than 0.38 .  

Step-by-step explanation:

1) Data given and notation

n=830 represent the random sample taken

X=282 represent the people that regularly watch the TV station’s news program

\hat p=\frac{282}{830}=0.340 estimated proportion of people that regularly watch the TV station’s news program

p_o=0.38 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 less than 0.38:  

Null hypothesis:p\geq 0.38  

Alternative hypothesis:p < 0.38  

When we conduct a proportion test we need to use the z statisitc, 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{0.340 -0.38}{\sqrt{\frac{0.38(1-0.38)}{830}}}=-2.374  

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 significance level provided \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a left tailed test the p value would be:  

p_v =P(Z  

So the p value obtained was a very low value and using the significance level given \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of people that regularly watch the TV station’s news program is significantly less than 0.38 .  

3 0
3 years ago
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