The cost of advertising in a local paper for one week is:28 cents per word plus 75 cents
a) What is the cost of an advertisement of 15 words for one week?
b) What is the greatest number of words in an advertisement costing up to $8 for one week?
c) If an advertisement is run for two weeks, the cost for the second week is reduced by 30%. Calculate the total cost for an advertisement of 22 words for two weeks.

Answers

Answer 1
Answer:

Answer:

a) 495 cents

b) 25 words

c) 1174.7 cents

Step-by-step explanation:

a) The cost is equal to 28 x 15 + 75 which equals 420 + 75 which equals 495 cents.

b) (800 cents - 75) divided by 28

= 725 / 28

= 25.9

Since you cannot have 0.9 of a word it is rounded down to 25.

c) 22 words in the first week will cost 22 x 28 + 75 = 616 + 75 = 691 cents

In the second week it will cost 30% less which means it will only cost 70% of the ordinary price. Therefore the second week will cost:

0.7 x 691 = 483.7 cents

Total = 483.7 + 691

        = 1174.7 cents

Hope this helps :)


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Statistical techniques are classified into two major categories: descriptive and inferential. Describe the general purpose of each category. A-The purpose of (1)inferential (2)descriptive statistics is to simplify the organization and presentation of data.
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Answers

Answer:

A-The purpose of  (2)descriptive statistics is to simplify the organization and presentation of data.

B-The purpose of (1) inferential statistics is to use the limited data from a sample as the basis for making general conclusions about the population.

Step-by-step explanation:

The descriptive statistics is used to make large data presentable into usable short forms, without which it would look impossible to solve. We draw a sample from the population and find its mean or draw histograms for the frequency distributions. This is descriptive statistics.

The inferential statistics is used to make inferences and conclusions from limited data given from a population. We do the hypothesis testing for the random samples obtained from larger populations. The hypothesis tests or the confidence intervals help us decide whether the rseults are accepted or not.

Final answer:

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On the other hand, inferential statistics involve using the limited data from a sample as the basis for making general conclusions about the population. They also include the theory of hypothesis testing, which is a method for testing statistical results. For example, inferential statistics would be used to determine if a difference observed between groups is a real one or if it might have happened by chance in this study.

Learn more about Descriptive and Inferential Statistics here:

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