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MissTica
3 years ago
11

Suppose that 5 identical red wooden blocks and 6 identical white wooden blocks are to be​ stacked, one on top of​ another, to fo

rm one tall tower of blocks. How many different colour patterns can​ result?
Mathematics
2 answers:
Amiraneli [1.4K]3 years ago
6 0
This is the concept of permutations, to get the number of different colour patterns obtained when 5 identical red wooden blocks and 6 identical wooded blocks stacked together, we calculate for their permutations which is:
6P5
=720
the answer is 720 patterns
valentina_108 [34]3 years ago
4 0

Answer:

462

Step-by-step explanation:

Firstly, we will calculate the number of ways we can arrange total number of wooden blocks. Lets say each of them are independent, so altogether we have 5+6=11 blocks. And number of ways to arrange 11 blocks would simply be: 11!.

Now, we need to figure out the number of ways 5 red wooden blocks can be arranged, it is 5! and the number of ways 6 white wooden blocks can be arranged is 6!. These are the ways they can be arranged in themselves.

So, we can now find how many different colour patterns can result by:

\frac{\text {ways all blocks can be stacked}}{\text{ways red blocks can be stacked} \times \text{ways white blocks can be stacked}}

So in this case it is:

=\frac{11!}{5! \times 6!} =462

Therefore, there could be 462 colour patterns.

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How do you know if alternate interior angles and alternate exterior angles have the same measure?
AnnZ [28]

Answer:

If the transversal cuts across parallel lines (the usual case) then alternate exterior angles have the same measure. So in the figure above, as you move points A or B, the two alternate angles shown always have the same measure.

Step-by-step explanation:

Hope this helps

5 0
3 years ago
I don’t understand the second one please help
OLEGan [10]
You have to put the number in the graph
6 0
3 years ago
Read 2 more answers
The national mean annual salary for a school administrator is $90,00 a year (The Cincinnati Enquirer, April 7, 2012). A school o
timurjin [86]

Answer:

a) Null hypothesis:\mu = 90000  

Alternative hypothesis:\mu \neq 90000  

b) p_v =2*P(t_{(24)}  

c) If we compare the p value and the significance level given \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the true mean for the salary differs from 9000 at 5% of significance.

Step-by-step explanation:

1) Data given and notation  

77600 ,76000 ,90700 ,97200 ,90700 ,101800 ,78700 ,81300 ,84200 ,97600 ,

77500 ,75700 ,89400 ,84300 ,78700 ,84600 ,87700 ,103400 ,83800 ,101300

94700 ,69200 ,95400 ,61500 ,68800

We can calculate the sample mean and deviation with the following formulas:

\bar X =\frac{\sum_{i=1}^n X_i}{n}

s=\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}

The values obtained are:

\bar X=85272 represent the mean annual salary for the sample  

s=11039.23 represent the sample standard deviation for the sample  

n=25 sample size  

\mu_o =90000 represent the value that we want to test

\alpha=0.05 represent the significance level for the hypothesis test.  

t would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

Part a: State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the mean salary differs from 90000, the system of hypothesis would be:  

Null hypothesis:\mu = 90000  

Alternative hypothesis:\mu \neq 90000  

If we analyze the size for the sample is < 30 and we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:  

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Part b: Calculate the statistic

We can replace in formula (1) the info given like this:  

t=\frac{85272-90000}{\frac{11039.23}{\sqrt{25}}}=-2.141    

P-value

The first step is calculate the degrees of freedom, on this case:  

df=n-1=25-1=24  

Since is a two sided test the p value would be:  

p_v =2*P(t_{(24)}  

Part c: Conclusion  

If we compare the p value and the significance level given \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the true mean for the salary differs from 9000 at 5% of significance.

6 0
3 years ago
NEED ASAP!!!!!!!!!!!!. Multiply and express the result in scientific notation:
Snezhnost [94]
Your answer is 8.4 X 10^7.

Hope this helped!
4 0
3 years ago
X + 7 = 9<br> What does X equal?
MakcuM [25]
2 i hope this helps ok bye
3 0
3 years ago
Read 2 more answers
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