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Alex73 [517]
1 year ago
14

Solve for q. 22q+73 > 52q + 63

Mathematics
1 answer:
sammy [17]1 year ago
3 0
Hey!

Let's write the problem.
22q+73\ \textgreater \ 52q+63
Subtract 73 from both sides.
22q+73-73\ \textgreater \ 52q+63-73
22q\ \textgreater \ 52q-10
Subtract 52q from both sides.
22q-52q\ \textgreater \ 52q-10-52q
-30q\ \textgreater \ -10
Since we don't want negative, we will multiply both sides by -1.
\left(-30q\right)\left(-1\right)\ \textless \ \left(-10\right)\left(-1\right)
30q\ \textless \ 10
Divide both sides by 30.
\frac{30q}{30}\ \textless \ \frac{10}{30}

Our final answer would be,
q\ \textless \ \frac{1}{3}

Thanks!
-TetraFish 
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The following data represent the length of life in
Natali [406]

Answer:

(a) For the stem-and-leaf plot, we need to organise all data in columns, one column is the stem and a second column is the leaf, but in this case, stems are going to be the digits to the left of the decimal point, and leafs are the digits to the right of the decimal point:

<u>Stem</u>            <u> Leaf </u>

0             2 2 2 3 3 4 5 7

1              0 2 3 5 5 8

2             0 3 5

3             0 3

4             0 5 7

5             0 5 6 9

6             0 0 0 5

(b) Relative frequency distribution.

Remember that, a relative frequency is calculated dividing the absolute frequency by the total data, in this case, we approximated to the hundredth.

Length of life    Absolute Frequency      Relative Frequency     % Relative Freq.

0.2                              3                                        0.1                                10

0.3                              2                                        0.07                              7

0.4                              1                                         0.03                              3

0.5                              1                                         0.03                              3

0.7                              1                                         0.03                              3

1.0                               1                                         0.03                              3

1.2                               1                                         0.03                              3

1.3                               1                                         0.03                              3

1.5                               2                                        0.07                              7

1.8                               1                                         0.03                              3

2.0                              1                                         0.03                              3

2.3                              1                                         0.03                              3

2.5                              1                                         0.03                              3

3.0                              1                                         0.03                              3

3.3                              1                                         0.03                              3

4.0                              1                                         0.03                              3

4.5                              1                                         0.03                              3

4.7                              1                                         0.03                              3

5.0                              1                                         0.03                              3

5.5                              1                                         0.03                              3

5.6                              1                                         0.03                              3

5.9                              1                                         0.03                              3

6.0                              3                                        0.10                               10

6.5                              1                                         0.03                              3

Total                          30                                          

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To calculate the sample mean we need to sum all number, which results: 83.9. Then, we divide this result to the total 30, which result: 2.80.

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The sample standard deviation is calculated trough the following process:

Step 1: Subtract the mean from each number.

Step 2: Square each result.

Step 3: Add the squared deviations.

Step 4: Divide the sum by one less the total.

Step 5: Take the square root, and there you have it.

Doing this steps, the result is 2.22.

This last process is attached:

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