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Kitty [74]
3 years ago
12

A rhombus with side length s is shown below. The perimeter, P, of a rhombus is proportional to the length of each side, s. Which

equation represents this relationship?
Mathematics
2 answers:
Neporo4naja [7]3 years ago
7 0
Oh nevermind, the best display for the proportions of the rhombus is P=4s.
This is because a rhombus has 4 equal sides, like a square. So, in order to find the perimeter, we multiply one side by 4!
Alternatively, s=P/4
Hope this helps
Art [367]3 years ago
5 0

Answer:

Step-by-step explanation:

We multiply  one side 4 alternatively, s =p/4

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34kurt

Answer: Its A

Step-by-step explanation:

Its the most reasonable answer the others seem off

8 0
3 years ago
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Put the numbers in order from smallest to largest to find the the five-number summary. 14, 18,28,29,32,44,48,50,65
dem82 [27]

Answer:

smallest number :14,18,28 29,32

largest number :65,50,48,44,32

4 0
3 years ago
Solve 1 over 36 = 6x−3.<br><br> x = −5<br> x = negative 3 over 2<br> x = 7 over 2<br> x = 1
vlabodo [156]
6*(-5)-3 = -33
6*(-3/2)-3 = -12
6*(7/2)-3 = 18
6*(1)-3=3
3 0
3 years ago
Read 2 more answers
In a one-way ANOVA, what is the difference between the among-groups variance MSA and the within-groups variance MSW?
LuckyWell [14K]

Answer:

MSR=MSA=\frac{SSR}{k-1}

And MSE=MSW=\frac{SSE}{N-k}

The difference is that MSA takes incount the variation between the groups and the grand mean, and the MSW takes in count the variation within groups respect to the mean of each group .

Step-by-step explanation:

Analysis of variance (ANOVA) "is used to analyze the differences among group means in a sample".  

The sum of squares "is the sum of the square of variation, where variation is defined as the spread between each individual value and the grand mean"  

If we assume that we have j groups and on each group from j=1,\dots,j we have n_j individuals on each group we can define the following formulas of variation:  

SS_{total}=\sum_{j=1}^p \sum_{i=1}^{n_j} (x_{ij}-\bar x)^2  

SS_{between=Treatment}=SS_{model}=\sum_{j=1}^p n_j (\bar x_{j}-\bar x)^2  

SS_{within}=SS_{error}=\sum_{j=1}^p \sum_{i=1}^{n_j} (x_{ij}-\bar x_j)^2  

And we have this property  

SST=SS_{between}+SS_{within}=6750+8000=14750  

The degrees of freedom for the numerator on this case is given by df_{num}=k-1 where k  represent the number of groups.  

The degrees of freedom for the denominator on this case is given by df_{den}=df_{between}=N-k.  

And the total degrees of freedom would be df=N-1  

We can find the MSR=MSA=\frac{SSR}{k-1}

And MSE=MSW=\frac{SSE}{N-k}

The difference is that MSA takes incount the variation between the groups and the grand mean, and the MSW takes in count the variation within groups respect to the mean of each group .

And the we can find the F statistic F=\frac{MSR}{MSE}=

8 0
3 years ago
Amy has 12 pairs of white socks, 2 pairs of gray socks, and 6 pairs of black socks in her drawer. if she takes two pairs without
KIM [24]
HI!
First of all, there are total 12 + 2 + 6 = 20 pairs of socks.
Probability of getting a pair of white socks the first time is 12/20.
Probability of getting a pair of gray socks without replacement, if first one was white, is 2/19
Therefore the probability t<span>hat she will take a white pair and gray pair</span> without replacement is 6/95 (I multiplied the two probabilities)
Let me know if there are any other questions!
4 0
3 years ago
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