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Allushta [10]
3 years ago
7

Estimate the quotient of 394.6 divided by 9

Mathematics
1 answer:
N76 [4]3 years ago
8 0
The answer rounded to the tenths place is 43.8, to the hundredths place is 43.84
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In Zachs class 3/5 of the 25 students are boys. How many boys are in Zachs class?
LUCKY_DIMON [66]

Answer:

15

Step-by-step explanation:

(3/5)*25=15

4 0
3 years ago
Find the 78th term of the arithmetic sequence<br> -12,-13,-14,
creativ13 [48]

Answer:

  -89

Step-by-step explanation:

The first term of the sequence is a1 = -12.

The common difference between terms is ...

  d = -13 -(-12) = -1

The generic term is given by ...

  an = a1 +d(n -1)

Then the 78th term is ...

  a78 = -12 +(-1)(78 -1) = -12 -77

  a78 = -89

8 0
2 years ago
Multiply: 85 x 4 = 340
Ghella [55]

Answer:

Yes

Step-by-step explanation:

85 x 4 is equal to 340.

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3 years ago
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The distribution of the test statistic for analysis of variance is the F-distribution. true or false
lubasha [3.4K]

Answer:

True. See explanation below

Step-by-step explanation:

Previous concepts

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 k groups and on each group from j=1,\dots,k we have k 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}  

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

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

8 0
3 years ago
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