Strategic Searching-

Look for two words at once by placing OR between them.

Group of answer choices

True

False

Answers

Answer 1

The statement is False.

Explanation:

The term strategic searching is not simply looking for two words at the same time and placing the use of the word Or between them. These are the strategies which are used to find words or the meaning of the concepts which one is looking for.

It does not only mean looking for two words at the same time. It is much more than simply stating that of searching the meaning of the two words with the help of word Or.

Answer 2
This statement is false

Related Questions

Was pop music new in London in 1965?

Answers

Answer I dont live in london

Explanation:

The Beatles and the Rolling Stones were

Which word(s) are associated with the illustration? A) legend B) caption C) definition D) call number

Answers

Answer:

I belive its definition

The answer would be c : Definition

number each material and sort the items in order from lowest (1) to highest (7) Density

- chalk

- copper

- flour

- dry beans

- talcum powder

- wax

- wet sand

Answers

Answer: copper > chalk > flour > talcum powder > dry beans.

Explanation:

Density is the compactness of given object.

Basically, it is mass per volume.

copper has the most density

chalk has lesser density than copper.

flour has lesser density than copper and chalk.

talcum powder has lesser density than copper, chalk and flour.

dry beans have lesser density than copper, chalk, and flour.

So, it becomes,

copper > chalk > flour > talcum powder > dry beans.

Yea I don’t get this but hope you get someone to answer it :)

We intend to estimate the average driving time of a group of commuters. From a previous study, we believe that the average time is 68 minutes with a standard deviation of 12 minutes. We want our 90 percent confidence interval to have a margin of error of no more than plus or minus 1 minutes. What is the smallest sample size that we should consider

Answers

Answer: The smallest sample size would be 392.

Explanation:

Since we have given that

Standard deviation = 12 minutes

Mean = 68 minutes

Margin of error = [tex]\pm 1[/tex]

At 90% confidence interval, z = 1.65

So, the smallest sample size that we should consider would be

[tex]n=(\dfrac{z\times \sigma}{ME})^2\\\\n=(\dfrac{1.65\times 12}{1})^2\\\\n=(19.8)^2\\\\n=392.04\\\\n=392[/tex]

Hence, the smallest sample size would be 392.

Answer:392

Explanation:
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