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Setler [38]
3 years ago
9

Roberto has $71 to buy baseballs for his little league team. Each baseball

Mathematics
2 answers:
Daniel [21]3 years ago
8 0

Answer:

10

Step-by-step explanation:

he can buy 10 because 7×10=70

Semenov [28]3 years ago
5 0

Answer:

10

Step-by-step explanation:

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Find the unit rate: <br><br> Carmen received a paycheck of $350 for 49 hours of work.
Nata [24]

Answer:

Carmen received $7.14 for each hour she worked.

Step-by-step explanation:

$350 for 49 hours of work

Write an equation, with hours as the variable

$350 = 49h

Divide both sides of the equation by 49 to find the unit rate

h = $7.14

Carmen received $7.14 for each hour she worked.

Hope this helps :)

5 0
3 years ago
What is x in this equation 2-3/4x=11
vladimir2022 [97]

Answer:

x=-12

Step-by-step explanation:

2-3/4x=11

3/4x=2-11

3/4x=-9

x=-9/(3/4)

x=(-9/1)(4/3)

x=-36/3

x=-12

3 0
3 years ago
Wade wants to buy sweaters. he has $175 and each sweater coast $12.00. write and solve an inequality to find how many sweaters h
Wittaler [7]
X = number of sweaters
175 - 55 > 12X
120 > 12X
10 > X
the most amount of sweaters he can buy is 10
5 0
3 years ago
Find the measure of angle 1
NARA [144]

Answer:28

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
The average daily volume of a computer stock in 2011 was million​ shares, according to a reliable source. A stock analyst believ
igomit [66]

Complete question :

The average daily volume of a computer stock in 2011 was p = 35.1 million shares, according to a reliable source. A stock analyst believes that the stock volume in 2014 is different from the 2011 level. Based on a random sample of 40 trading days in 2014, he finds the sample mean to be 30.9 million shares, with a standard deviation of s = 11.8 million shares. Test the hypotheses by constructing a 95% confidence interval. Complete parts (a) through (c) below. State the hypotheses for the test. Construct a 95% confidence interval about the sample mean of stocks traded in 2014.

Answer:

H0 : μ = 35.1 ;

H1 : μ < 35.1 ;

(26.488 ; 35.312)

Step-by-step explanation:

The hypothesis :

H0 : μ = 35.1

H1 : μ < 35.1

The confidence interval :

Xbar ± Margin of error

Xbar = 30.9

Margin of Error = Zcritical * s/sqrt(n)

Zcritical at 95% = 1.96

Margin of Error = 1.96 * (11.8/sqrt(40))

Margin of Error = 4.412

Lower boundary :

30.9 - 4.412 = 26.488

Upper boundary :

30.9 + 4.412 = 35.312

Confidence interval = (26.488 ; 35.312)

Since the population mean value exists within the interval, the we fail to reject the Null.

5 0
3 years ago
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