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3 years ago

BRAINLIEST

Mathematics

1 answer:

Dima020 [189]3 years ago

6 0

Answer:

1. 2.9

2. 51 inches

3. (if you can send a picture of the question, I can tell you an answer.

Step-by-step explanation:

for number 1:

You have to add the scores on the left and divide it by the total. What I did was multiply each number on the right with it's pair and added it up. I got 111. Afterwards, I totalled the number of students (I got 38) and divided the scores by the number of students to get 2.9.

for number 2:

You do the same thing as number one but instead of multiplying pairs, you add the heights. I got 255 and then divided it by 5 total heights. I got 51 inches.

for number 3: I didn't get the graph to tell you the answer but I can tell you what everything means.

Symmetric means that both sides of the graph are equal and if you fold the graph in half horizontally, you should get the same shape.

Gaps are where you see blanks in the graph where the data gets cut off and then has stats again.

Cluster is when a huge amount of data is gathered in one area.

Peak is where the data (x-axis) reaches it's highest point (highest y-axis point).

Good luck and please give me Brainliest if you liked my answer!

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Answer:

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Step-by-step explanation:

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

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

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The information provided is:

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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.

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