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3 years ago

Bess wants to find the favorite sports of students at her school. How can she choose a sample for her survey?

Mathematics

2 answers:

lidiya [134]3 years ago

8 0

She can make a vote around the school

Lana71 [14]3 years ago

7 0

She can make a graph of and ask her peers what their favorite sport is. And graph the results.

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An investigator wants to estimate caffeine consumption in high school students. how many students would be required to estimate

astraxan [27]

We can solve this problem by referring to the standard probability distribution tables for z.

We are required to find for the number of samples given the proportion (P = 5% = 0.05) and confidence level of 95%. This would give a value of z equivalent to:

z = 1.96

Since the problem states that it should be within the true proportion then p = 0.5

Now we can find for the sample size using the formula:

n = (z^2) p q /E^2

where,

p = 0.5

q = 1 – p = 0.5

E = estimate of 5% = 0.05

Substituting:

n = (1.96^2) 0.5 * 0.5 / 0.05^2

n = 384.16

Around 385students are required.

6 0

2 years ago

Need 78 pieces of wood 29 cm long. Boards are 6 m long. How many boards are needed?

Wittaler [7]

I believe the answer is 4 because 6m/29= 20.6897 and so then you do 20.6897 x 3= 62.0691. So 3 is too small so do 20.6897x 4= 82.7588. 82 >78 so the answer is that you need 4 boards.

5 0

3 years ago

If two noncollinear rays join at a common endpoint, then an angle is created. Which geometry term does the statement represent?

Inessa [10]

Answer:

a- defined term

Step-by-step explanation:

The statement is defining an angle.

5 0

2 years ago

Read 2 more answers

Which equation is the inverse of y = x2 – 36?

Sholpan [36]

Its B.y=±√n+36

i hope that helps

3 0

3 years ago

Read 2 more answers

Annual starting salaries in a certain region of the U. S. for college graduates with an engineering major are normally distribut

defon

Answer:

0.8665 = 86.65% probability that the sample mean would be at least $39000

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score 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 p-value, 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 $s = \frac{\sigma}{\sqrt{n}}$ .