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sladkih [1.3K]
3 years ago
13

Estimate the temperature at which the rate of chirping is 130 per minute

Mathematics
1 answer:
Andrej [43]3 years ago
8 0

Answer:

Step-by-step explanation:

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Ian's monthly allowance is $21. In January he starts saving for a birthday gift in June. Each month he saves of his allowance. T
Dmitrij [34]

Answer:

<h2>Ian will have enough money to buy the gift</h2>

Step-by-step explanation:

Step one:

given

monthly allowance= $21

from January to June= 6 months

total savings = 21*6= $126

cost of gift = $110

Step two:

Ian will have enough money to buy the gift

since he saved $126 which is greater than the cost of the gift of $110

he would have a balance of $16

4 0
3 years ago
Alisha earned $12.40 mowing the lawn and $6.50 raking the leaves. How much money did she earn in all?
antoniya [11.8K]

Alisha kiếm được tổng cộng là 18.90 đô cho cả hai công việc

6 0
3 years ago
Explain how you can use the distributive property to check the binomial factors when a trinomial has been factored. Include an e
erica [24]
What you can do is split one of the binomials and then apply the distributive property if f(x) = (x + 3)(x -2) split the 1st binomial f(x) = x(x -2) + 3(x -2) now apply the distributive property to get
f(x)=x2−2x+3x−6
which simplifies to
f(x)=x2+x−6
4 0
3 years ago
Read 2 more answers
A. 155<br> B. 163 1/2<br> C. 123<br> D. 122<br> E. 122 1/2<br> F. 130
Lesechka [4]
I think D but don’t take my word for it
5 0
3 years ago
Read 2 more answers
Incomes in a certain town are strongly right-skewed with mean $36,000 and standard deviation $7000. a random sample of 75 househ
Svet_ta [14]
Since the sample is greater than 10, we can approximate this binomial problem with a normal distribution.

First, calculate the z-score:

z = (x - μ) / σ = (37000 - 36000) / 7000 = 0.143

The probability P(x > 37000$) = 1 - P(<span>x < 37000$), 
therefore we need to look up at a normal distribution table in order to find 
P(z < 0.143) = 0.55567 
And 
</span>P(x > 37000$) = 1 - <span>0.55567 = 0.44433

Hence, there is a 44.4% probability that </span><span>the sample mean is greater than $37,000.</span>

4 0
4 years ago
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