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Digiron [165]
3 years ago
8

A salesman bought 2 dozen television sets at $300 each. He sold two-thirds of them at

Mathematics
2 answers:
Kipish [7]3 years ago
8 0
Well, the first 16 were about 16*75=$1200 extra. The last 8 were $720 lost. Thus, the total profit is $480. He bought them with $7200, which means the profit is around 6.67%.
Alja [10]3 years ago
3 0

Answer: A salesman bought 2 dozen television sets at $300 each. He sold two-thirds of them at a 25% profit but was forced to take a 30% loss on the rest. what was his total profit(or loss) on the television sets?

----

Original cost 24*300 = 7200

----

Profit: 0.25*(2/3)24*300 = 1200

---

Loss: 0.3*(1/3)24*300 = 720

----

Total profit = 1200-720 = $480

Step-by-step explanation:

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Solve each equation for θ, where 0° < θ < 90°. Answer correct to the nearest minute.
Assoli18 [71]

Answer:

Below in bold.

Step-by-step explanation:

sin θ = 4 cos θ

Note that tan θ = sin θ / cos θ so we

Divide both sides by cosθ:

tan θ = 4

θ = 75.96

= 75 degrees 58 minutes.

5 0
2 years ago
The set S contains some real numbers, according to the following three rules. (i) 1 1 is in S. (ii) If a b is in S, where a b is
pogonyaev

Answer:

The solution is given in the pictures below

Step-by-step explanation:

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2 years ago
Hey can anyone tell me how to do slope
netineya [11]
The main thing is rise/run. y=mx+b that is the formula for slope
7 0
2 years ago
Read 2 more answers
The values of a sample statistic for different random samples of the same size from the same population will be the same.
Rus_ich [418]

Answer:

In general, sample statistics will tend to be different. With continuous random variables, this should always be the case (until rounding, which brings us back to "actually that's just theoretically continuous") and with discrete random variables this will often be the case with some statistics and perhaps more often not with others (how often it depends on the distribution pattern, sample size, and the particular statistics you are viewing).

Step-by-step explanation:

You can response your particular query by straight experiment, in simple cases.

For example, consider rolling a particular six-sided die (a well-made one that's very close to fair). You could withdraw two samples of some wanted size (n1 = 20

and n2 = 20 say) and calculate your sample statistics. I suggest you try it!

Actually, not being one to ask you to try something I wouldn't do myself, here are my attempts, first with one die (two samples each of size 20) and then a repeat with a different die:

Result of die A: 1 2 3 4 5 6

Sample 1 (Counts) 2 3 3 2 4 6

Sample 2 6 2 3 4 3 2

Result of die B: 1 2 3 4 5 6

Sample 1 (Counts) 3 7 3 0 3 4

Sample 2 1 4 1 5 4 5

And here are some summary statistics:

Die A Range median mean sd

Sample 1 5 4.5 4.05 1,791

Sample 2 5 3 3.10 1,774

Die B Median Mean Range SD

Sample 1 5 2.5 3.25 1,860

Sample 2 5  4  4.10 1,619

If you do, you will probably get the same maximum and minimum both times (I would expect both 1 and 6 to show in a sample of 20 about 95% of the time), but the means and standard deviations would be different.

The medians could be the same (about a 25% chance of that, with the usual definition of sample median even for n

), but easily not.

There is some chance of obtaining the same mean for two of these (because we are sampling a discrete distribution with only a few results), but there is a low probability of seeing it (around 3.7%);

You can also get the same standard deviation, but the chance is much less ... about 2/3 of a percentage.

At larger or smaller sample sizes, those possibilities change; and they change again if you extract from other distributions other than that of a (roughly) fair die.

That all those statistics I mentioned would be the same would be highly unlikely.

3 0
3 years ago
Jennifer wants to choose three books to bring along on vacation from the twelve books on her shelf. How many ways can she choose
Neko [114]

Answer:

i think its 4

Step-by-step explanation:

12 divided by 4 is 3 like 3 x 4 is 12

4 0
3 years ago
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