Choose all the ones

Mathematics

2 answers:

ElenaW [278]3 years ago

8 0

Answer:

A, C, D

Step-by-step explanation:

A. $5.60 per class

$196 divided by 35

B. $6.50 per class

$260 divided by 40

C. $5.00 per class

$250 divided by 50

D. $5.50 per class

$55 divided by 10

E. $7.60 per class

$342 divided by 45

ch4aika [34]3 years ago

4 0

Avg price for A = $195/35 = $5.57
avg price for B = $260/40 = $6.50
avg price for C = $250/50 = $5
avg price for D = $55/10 = $5.50
avg price for E = $342/45 = $7.60

answer : A,C,D

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An experience bricklayer can construct a small wall in 3 hours. An apprentice can complete the job in 5 hours. Find how long it

Over [174]

Answer:

Step-by-step explanation:

If the bricklayer can construct the wall in its entirety in 3 hours, then he can get 1/3 of the job done in an hour.

If the apprentice can get the whole job done in 5 hours, then he can get 1/5 of the job done in an hour. If they both work together on said job, the equation is

$\frac{1}{3}+\frac{1}{5}=\frac{1}{x}$ and now we solve for x. Multiply everything by the LCM to get rid of the fractions. That would be 15x:

$15x(\frac{1}{3}+\frac{1}{5}=\frac{1}{x})$ and doing that gives us

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3 years ago

A researcher reports survey results by stating that the standard error of the mean is 25 the population standard deviation is 40

bezimeni [28]

Answer:

a) A sample of 256 was used in this survey.

b) 45.14% probability that the point estimate was within ±15 of the population mean

Step-by-step explanation:

This question is solved using the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value 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. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .