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Molodets [167]
3 years ago
9

How do I determine the range. ​

Mathematics
1 answer:
Nikitich [7]3 years ago
5 0

Answer:

y: (5, -5)

Step-by-step explanation:

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please help me with this question! i will give 40 points and brainliest! please help with answer and explanation. thanks you so
riadik2000 [5.3K]

Answer:

to find the sale price, you need to find what 34% of 82 is.

82 x 0.34 = 27.88

subtract that from the original price

82 - 27.88 = $54.12

you could also multiply 82 by (1 - .34) to get the same answer

82 x (.66) = $54.12

sale price is $54.12

hope this helps:)

Step-by-step explanation:

3 0
3 years ago
The mass of a grain of sand is about 10^-3 gram. About how many grains of sand are in the bag of sand?
nika2105 [10]

there are 10 million grains in that bag of sand this is because one grain equals to 10 power -3 what about 10 kg you change it into grams then you cross multiply and get the answer

8 0
3 years ago
Evaluate 7!.<br> Ο 120<br> Ο 5,040<br> Ο 40,320
timurjin [86]

Answer:

5040 is the answer of it

6 0
3 years ago
Two friends, Alejandro and Mia, agreed to split the check at a restaurant. Alejandro ordered $12 worth of food and Mia ordered $
kvasek [131]

Cost of Alejandro's food = $12

Tip paid by Alejandro = 20% of his bill = 20% of 12 = 2.4

Cost of Mia's food = $18

Tip paid by Mia = 15% of his bill = 15% of 18 = 2.7

Total Tip Paid = 2.4+2.7 = 5.1

Total Check Amount = 12 + 18 = 30

Total tip paid by Alejandro and Mia is r% of the total check amount.

So, we need to determine what % of 30 is equal to 5.1%

⇒ r% × 30 = 5.1

⇒ r% = 5.1 / 30

⇒ r% = 17%

Hence, r is 17%

8 0
3 years ago
Rachel recorded the number of calls she made at work during the week:
Dmitry [639]

The chi-squared test statistic will be 3.11. The test statistic is contrasted with a predicted value based on the Chi-square distribution.

<h3>What is the chi-squared test statistic?</h3>

Finding the squared difference between the actual and anticipated data values, then dividing that difference by the expected data values, constitutes the test statistic.

The formula for the chi-squared test statistic is;

\sum \frac{(O_i-E_i)^2}{E_i } \\\\

Where,

\rm O_i is the observed value

\rm E_i is the expected value

The chi-square test statics is;

\rm( \frac{18-18}{18} )^2 +( \frac{14-18}{18} )^2 + (\frac{24-18}{18} )^2+( \frac{16-18}{18} )^2 \\\\ 0+ \frac{16}{18}+ \frac{36}{18} +\frac{4}{18}\\\\ \frac{56}{18} \\\\ 3.11

Hence, the chi-squared test statistic will be 3.11.

To learn more about the chi-squared test statistic refer;

brainly.com/question/14082240

#SPJ1

5 0
2 years ago
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