2. Yogurt manufacturers, food scientists; and government

The ___________ was the center of many Middle Age European towns, often dwarfing the village or town itself. Question 4 options:

Galina-37 [17]

Answer:

theater

Explanation:

5 0

3 years ago

Liturgical worship is important

Natasha2012 [34]

Answer:

Yes

Explanation:

8 0

3 years ago

Read 2 more answers

What can you say about the series an in each of the following cases?

Likurg_2 [28]

The exercise is related to the Ratio Test for Convergence. The rules for this kind of test are given below.

<h3>What are the rules for Ratio Test for Convergence?</h3>

The rules are:

If the limit is less than 1 when conducting the ratio test, your series is definitely convergent.
The test is inconclusive if the limit is equal to 1.
The series is divergent if the limit is greater than 1.

Using this knowledge, we are able to state that

A is not conclusive.
C's convergence is absolute.
There is divergence with D and E.
B and F appear to be employing the nth-term test. The nth-term involves determining the sequence's limit as it approaches infinity.

The nth-term test determines whether a series is divergent if the limit is bigger than 0, thus, both B and F are divergent series.

Please see the attached for the full question and the link below for more about Ratio Test for Convergence:

brainly.com/question/16618162

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7 0

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

Read more about standard errors at:

brainly.com/question/6851971

5 0

2 years ago

A ratio estimates the risk associated with investing in a firm.

Bogdan [553]

A ratio which estimates the risk associated with investing in a business firm is called: solvency ratio.

Solvency ratio can be defined as a key metric that is typically used to measure the ability of a business firm to meet its long-term debt obligations.

Basically, a solvency ratio measures the financial position of a business firm and the extent to which its assets cover long-term debt obligations (commitments), especially for future payments and the liabilities.

In conclusion, a ratio which estimates the risk associated with investing in a business firm is called solvency ratio.

5 0

3 years ago