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MrMuchimi
3 years ago
11

Roxanne decides she's going to make cookies. Her recipe requires her to use 1 1/4 cup of sugar for each batch. Roxanne's Mom che

cked and they have 15 cup od sugar in the house. How many batches of cookies can Roxanne make with the sugar they have?​
Mathematics
1 answer:
vesna_86 [32]3 years ago
3 0

Answer:

i was a little unclear about your sugar amount..

Step-by-step explanation:

if the amount was 1 1/4 ( 1 cup and 1/4 cup) them the answer would be 12

12 x 1.25 = 15

if the sugar amount was just 1/4 cup of sugar the answer would be 60

.25 x 15 = 60

You might be interested in
alaina owes her mom $15 and her friend $27. then she babysat and earned $35. how much more money does alaina need to earn in ord
tino4ka555 [31]

35 - 27 = 8

15 - 8 = 7

She just payed off her best friend and has $8 left.

So she needs to earn $7 more to pay off the $15 she owes her mom

4 0
3 years ago
Are the lengths changing in a linear fashion in the listing above? Perry's hot tub​
Anit [1.1K]

Answer:

there isnt anything there but sure yes they are

Step-by-step explanation:

4 0
3 years ago
There are 21 female performers in a dance recital. The ratio of men to women is 4:7. How many men are in the dance recital?
pantera1 [17]

Answer:

12

Step-by-step explanation:

let x be the number of men

4:7 = x:21

4/7 = x/21

7x = 84

x = 12

6 0
3 years ago
) One year, professional sports players salaries averaged $1.5 million with a standard deviation of $0.9 million. Suppose a samp
Nutka1998 [239]

Answer:

Probability that the average salary of the 400 players exceeded $1.1 million is 0.99999.

Step-by-step explanation:

We are given that one year, professional sports players salaries averaged $1.5 million with a standard deviation of $0.9 million.

Suppose a sample of 400 major league players was taken.

<em>Let </em>\bar X<em> = sample average salary</em>

The z-score probability distribution for sample mean is given by;

                 Z = \frac{ \bar X -\mu}{{\frac{\sigma}{\sqrt{n} } }} }  ~ N(0,1)

where, \mu = mean salary = $1.5 million

            \sigma = standard deviation = $0.9 million

             n = sample of players = 400

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the average salary of the 400 players exceeded $1.1 million is given by = P(\bar X > $1.1 million)

    P(\bar X > $1.1 million) = P( \frac{ \bar X -\mu}{{\frac{\sigma}{\sqrt{n} } }} } >  \frac{ 1.1-1.5}{{\frac{0.9}{\sqrt{400} } }} } ) = P(Z > -8.89) = P(Z < 8.89)

<em>Now, in the z table the maximum value of which probability area is given is for critical value of x = 4.40 as 0.99999. So, we can assume that the above probability also has an area of 0.99999 or nearly close to 1.</em>

Therefore, probability that the average salary of the 400 players exceeded $1.1 million is 0.99999.

4 0
3 years ago
What's 5 + (7 x 8) divided by 3
Ganezh [65]

Answer:

23.6666666667

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
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