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Lelu [443]
3 years ago
5

Evaluate the expression when c=4,d=6 and e=10

Mathematics
1 answer:
natima [27]3 years ago
6 0
Errrmmm.... Where is the expression?
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How many books were read in all? <br>A. 150 <br>B.156 <br>C. 158 <br>D. 160 <br>E. 162​
Anarel [89]

Answer:

D: 160

Step-by-step explanation:

Fifth graders read 68, which is easy to see.  Fourth graders read between 48 and 52, the bar appears to be directly in the middle of the two lines, so we say they read 50.  Third graders read between 40 and 44, again the bar appears to be directly in the middle so we say they read 42.

42+50+68=160

8 0
3 years ago
Read 2 more answers
bob has 3 bookshelves that hold a total of 27 books. he adds a fourth shelf and now has 36 books. if he adds 2 more shelves ,how
kotykmax [81]
Based on the given information, each shelf can hold 9 books. (27/3 = 9) That means 2 additional shelves will hold 18 books. Add 18 to 36 to find the total, which is 54.
Hope that helped you.
8 0
3 years ago
Please show your work!<br> 25% of 80
spin [16.1K]

Answer:

20

Step-by-step explanation:

25% change to .25

.25 x 80

Just solve 25 x 80 which equals 2000

then move decimal over twice giving you 20.00 or 20

4 0
3 years ago
Read 2 more answers
Find the indicated probability or percentage for the sampling error. The distribution of weekly salaries at a large company is r
Flauer [41]

Answer:

The probability that the sampling error made in estimating the mean weekly salary for all employees of the company by the mean of a random sample of weekly salaries of 80 employees will be at most $75 is 0.9297.

Step-by-step explanation:

According to the Central Limit Theorem if we have a non-normal population with mean <em>μ</em> and standard deviation <em>σ</em> and appropriately huge random samples (<em>n</em> > 30) are selected from the population with replacement, then the distribution of the sample means will be approximately normally distributed.

Then, the mean of the distribution of sample means is given by,

\mu_{\bar x}=\mu

And the standard deviation of the distribution of sample means is given by,

\sigma_{\bar x}=\frac{\sigma}{\sqrt{n}}

The information provided is:

\mu=\$1000\\\sigma=\$370\\n=80

As <em>n</em> = 80 > 30, the central limit theorem can be used to approximate the sampling distribution of sample mean weekly salaries.

Let \bar X represent the sample mean weekly salaries.

The distribution of \bar X is: \bar X\sim N(\$1000,\ \$41.37)

Now we need to compute the probability of the sampling error made in estimating the mean weekly salary to be at most $75.

The sampling error is the the difference between the estimated value of the parameter and the actual value of the parameter, i.e. in this case the sampling error is, |\bar X-\mu|= 75.

Compute the probability as follows:

P(-75

                                     =P(-1.81

Thus, the probability that the sampling error made in estimating the mean weekly salary for all employees of the company by the mean of a random sample of weekly salaries of 80 employees will be at most $75 is 0.9297.

3 0
3 years ago
A man is 32 years older than his daughter and the product of their ages is 320..
gogolik [260]
A) the man is 40 and the daughter is 8
b)in 8 years when the man is 48 and the daughter is 16
8 0
3 years ago
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