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melomori [17]
4 years ago
12

PLEASE ANSWER ASAP!

Mathematics
1 answer:
lutik1710 [3]4 years ago
6 0

Answer:

None of the options are true.

Step-by-step explanation:

We are given with the following parts;

A. 100 x 1,000 = 107

B. 10 x 1,000 = 105

C. 0.01 x 103 = 100

D. 0.001 x 105 = 100

The first statement that 100 x 1,000 = 107  is false because the multiplication of the numbers 100 and 1,000 gives the result of 100,000 but in question; it is written as 107, So, this is false.

The second statement that 10 x 1,000 = 105  is false because the multiplication of the numbers 10 and 1,000 gives the result of 10,000 but in question; it is written as 105, So, this is false.

The third statement that 0.01 x 103 = 100  is false because the multiplication of the numbers 0.01 and 103 gives the result of 1.03 but in question; it is written as 100, So, this is false.

The fourth statement that 0.001 x 105 = 100  is false because the multiplication of the numbers 0.001 and 105 gives the result of 0.105 but in question; it is written as 100, So, this is false.

Hence, all the statements are false.

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In May, a national park had 50,498 visitors. In June, the same park had 82,062 visitors. How many more visitors did the park hav
lord [1]

Answer:

31,564

Step-by-step explanation:

82,062 - 50,498 = 31,564

7 0
3 years ago
You may need to use the appropriate technology to answer this question. In a completely randomized design, 11 experimental units
Sliva [168]

Answer:

Step-by-step explanation:

Hello!

You have the information of an analysis of variance of 1 factor with 3 treatments.

Treatment 1 has 11 experimental units.

Treatment 2 has 14 experimental units.

Treatment 3 has 20 experimental units.

The whole experiment has a total sze of n= 11+14+20= 45 experimental units.

Unfortunatelly only with the sample size you cannot calculate all values of the ANOVA table, you need at least the information of either two Sum of Squares (SS) or one Sum of Squares and one Means Square (MS).

Tha first attachments shows how to construct the table by hand.

I'll use as example the following data:

SSTr= 1200

SSTotal= 1800

The Total SS is obtained by adding the SS of Treatmets + SS of error, so the SSerror is:

SSerror= SSTotal - SSTr= 1800 - 1200= 600

To calculate each Mean Square you have to divide the SS by the Degrees of Freedom, so next step is to calculate the Degrees of Freedom:

DFTr= k-1

Where k represents the number of Treatmets of the experiment.

DFTr= 3-1= 2

DFerror= n-k

DFerror= 45-3= 42

DFTotal= n-1= 45-1= 44

Now you can calculate the MS

MSTr= SSTr/DFTr= 1200/2= 600

MSerror= SSerror/DFerror= 600/42= 14,2857≅ 14.29

And the next step is to calculate the value of the test:

F= MSTr/MSerror= 600/14.29= 41,99

Finally the p-value.

The hypothesis test of ANOVA is one-tailed to the right under the Stedecors-F distribution with degrees of fredom (DFTr;DFerror)

F_{DFTr;DFerror}= F_{2;42}

The P-value is

P(F_{2;42}≥41.99)= 1 - P(F_{2;42}<41.99)= 1 - 0.9999= 0,0001‬

I hope it helps!

7 0
4 years ago
Find the scale factor of the figures below from left to right given the volume of each .
Fudgin [204]
<h3>Answer is choice D)  5:3</h3>

Explanation:

The volumes are in the ratio 3625:783 which reduces fully to 125:27 after dividing both parts by the GCF 29.

Both 125 and 27 are perfect cubes because 125 = 5^3 and 27 = 3^3

Therefore, the volume ratio 125:27 turns to the linear scale factor ratio 5:3

If you were to cube both sides of the linear ratio 5:3, you would get the volume ratio 125:27. Cube rooting both sides will have you go in reverse.

6 0
3 years ago
Can someone help me with these problems ???
pantera1 [17]
I recommend you use google because these are very easy
4 0
3 years ago
Triangle ABC is similar to triangle WYZ.
11Alexandr11 [23.1K]
I think true I am not sure
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