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3 years ago

SAT WritingWhy is the answer to this question "C" and what is wrong with my answer "B"?

SAT

1 answer:

Zinaida [17]3 years ago

7 0

Tokyo-Yokohama is the biggest megacity in the world. If there's anything that is "legally classified as a metropolis", this megacity would be first on the list. There's no need to add B.

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Suppose that past history show that 60% of students prefer Brand C cola. A sample of 5 students is selected. What is the probabi

Greeley [361]

standard deviation of 1 minute, find the probability that a randomly selected college

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3 years ago

A few years ago, it came as a surprise when apple's iphone 4 was found to have a problem. Users complained of weak reception, an

VladimirAG [237]

The population being all iPhone 4 users is True

The 2% denote the sample statistic.

<h3>Sample statistic</h3>

This refers to the figures which are computed through the available data for

an item. Examples include:

Mean

Median

Percentile

The population being all iphone 4 user is true because it is the item that has

the data provided and is being talked

Read more about Sample statistic here brainly.com/question/16840464

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2 years ago

To compare the average amount of time that canadians and americans spend commuting, a researcher collects a sample of canadians

yKpoI14uk [10]

The standard error of the difference of sample means is 0.444

From the complete question, we have the following parameters

<u>Canadians</u>

Sample size = 50
Mean = 4.6
Standard deviation = 2.9

<u>Americans</u>

Sample size = 60
Mean = 5.2
Standard deviation = 1.3

The standard error of a sample is the quotient of the standard deviation and the square root of the sample size.

This is represented as:

$SE = \frac{\sigma}{\sqrt n}$

The standard error of the Canadian sample is:

$SE_1 = \frac{2.9}{\sqrt{50}}$

So, we have:

$SE_1 = 0.41$

The standard error of the American sample is:

$SE_2 = \frac{1.3}{\sqrt{60}}$

So, we have:

$SE_2 = 0.17$

The standard error of the difference of sample means is then calculated as:

$SE= \sqrt{SE_1^2 + SE_2^2}$

This gives

$SE= \sqrt{0.41^2 + 0.17^2}$

$SE= \sqrt{0.197}$

Take square roots

$SE= 0.444$

Hence, the standard error of the difference of sample means is 0.444