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sammy [17]
2 years ago
10

Hellppppp plzzz I’m bad at math-

Mathematics
2 answers:
LUCKY_DIMON [66]2 years ago
5 0
I can’t really see the graph
Oliga [24]2 years ago
4 0
I can’t see the slope on the graph
You might be interested in
Braden biked 10 8/9 miles on Monday. On Tuesday, he biked 3/ 4 as far as Monday. How many total miles did he bike over the two d
torisob [31]

Answer:

19 1/18 miles.

Step-by-step explanation:

For Tuesday's ride we need to multiply 10 8/9 by 3/4.

10 8/9 = (9*10+8) / 9 =  98/9 miles.

98 / 9  * 3/4

= 98/3 * 1/4

49/6

= 8 1/6 miles.

Total miles over 2 days = 10 8/9 + 8 1/6

= 18 + 8/9 + 1/6

= 18 +  48/54 + 9/54

= 18 57/54

= 19 3/54

= 19 1/18 miles.

5 0
3 years ago
Tara and Edith share a sum of money in the ratio 13 : 12
svlad2 [7]

Answer:

She receives 108.33% ( or $108.33)

Step-by-step explanation:

Tara receives $108.33 because 13/12 into a percentage =108 times 100

which = 108.33.That's all there is to it! Hope you have a great day.

5 0
2 years ago
Please help. right answer will be brainliest.
jek_recluse [69]

Answer:

24 square units

Step-by-step explanation:

6×4=24

3 0
3 years ago
Can some one help me plz
tigry1 [53]
B but the last one in the b row
5 0
3 years ago
Read 2 more answers
We are interested in finding out the proportion of adults in the United State who cannot cover a $400 unexpected expense without
serious [3.7K]

Answer:

Step-by-step explanation:

given that we are interested in finding out the proportion of adults in the United State who cannot cover a $400 unexpected expense without borrowing money or going into debt.

Sample size = 765

Favour = 322

a) The population is the adults in the United State who cannot cover a $400 unexpected expense without borrowing money or going into debt

b) The parameter being estimated is the population proportion P of adults in the United State who cannot cover a $400 unexpected expense without borrowing money or going into debt.

c) point estimate for proportion = sample proporiton = \frac{322}{765} \\=0.4209

d) We can use test statistic here as for proportions we have population std deviation known.

d) Std error = 0.01785(\sqrt{\frac{pq}{n} }

Test statistic Z = p difference / std error

f) when estimated p is 0.50 we get Z = -4.43

g) Is true population value was 40% then

Z = 1.17 (because proportion difference changes here)

7 0
3 years ago
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