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Natalka [10]
3 years ago
13

A car dealership has three locations, all about the same size, within the city. The graph shows last month’s sales figures for o

ne of the locations. Which statement is best supported by the information in the graph? on ttm!
Mathematics
1 answer:
postnew [5]3 years ago
6 0

Answer:

Truck sales across all stores were likely 60

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Which are similar to AJKL? Label each Yes or No.<br> L<br> м<br> ALKM<br> AJLM<br> ΔKML
Studentka2010 [4]

Answer:

ΔLKM   yes

ΔJLM    yes

ΔKML   no

7 0
3 years ago
Which of the following segments is a diameter of 0?​
NNADVOKAT [17]

Answer:

ZX

Step-by-step explanation:

4 0
3 years ago
Solve the following logarithm equation<br> log5(10 + x) = log5(3 + 4x)
devlian [24]
That equation tells us that (10 + x) = (3 + 4x). Can you handle it from there ?
6 0
3 years ago
Last season there were 26 students on the Springfield High
aivan3 [116]

Answer:

Step-by-step explanation:

What percent of the  team are seniors?

= 18/26 *100 = 69.23%

How many players are juniors?

= 19/100 * 26 = 5 Players

Freshman and sophomores together make up what percent  of the team?

= (26-(18+5))/26 *100 = 3/26 *100 = 11.54%

8 0
3 years ago
Assume that all (525)poker hands are equally likely. What is the probability that you will be dealt:
AlekseyPX

Answer:

There is 1.98% of probability of being dealt a flush in 5-card Poker

Step-by-step explanation:

To know the probability of a flush being dealt, we can calculate the number of cases when that happens and divide it by the total number of cases of poker hands that exist, naming A the event of a flush.

We will use combinations (nCr button on a calculator) to count the number of cases, because we don't care about the order (it is the same to be dealt a 2, 4, 6, 7 and 8 of hearts than the opposite order), being a flush the event when we take 5 cards out of 13 of the same suit, times 1 out of 4 possible suits and the total number of cases is taking 5 random cards out of 52.

P_{A} =\frac{Cases   Of Flush}{Hands} =\frac{\left(\begin{array}{ccc}13\\5\end{array}\right)*\left(\begin{array}{ccc}4\\1\end{array}\right)}{\left(\begin{array}{ccc}52\\5\end{array}\right)} =\frac{5148}{2598960}=0,00198\\

That means there is about a 2% of probability of being dealt a flush.

In other words, of every 16660 plays, 33 will be, on average, a flush

6 0
3 years ago
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