A. Statistics 1. An online article reports that there are more occurrences of su

Question

A. Statistics

1. An online article reports that there are more occurrences of sunburn when people eat more ice cream. It concludes that eating ice cream causes sunburn and recommends heavy sunscreen whenever ice cream is consumed.

a) Describe the type of interpretation flaw this example represents.

b) Suggest at least one alternate explanation for the increase in sunburns when ice cream is consumed

2. An incoming student wants to know more about class sizes at the college she wishes to attend. Therefore, she obtains and reviews a summary of class sizes, by program, from the previous school year.

a) Is the summary reviewed by the student an example of descriptive or inferential statistics? Explain.

Explanation / Answer

answer of part 1 (a)

here population is defined and this is one of the example of absurd interpretation of correlation. sample will have take only from diabetic persons.

answer of part 1 (b)

There may be increase of sugar level of the body, when icecream is more consumed there will be need of more water to the body due to increase in surgar level

Answer of question 2(a)

summary reviewed by the student an example of descriptive

When it comes to statistic analysis, there are two classifications: descriptive statistics and inferential statistics. In a nutshell, descriptive statistics intend to describe a big hunk of data with summary charts and tables, but do not attempt to draw conclusions about the population from which the sample was taken. You are simply summarizing the data you have with pretty charts and graphs–kind of like telling someone the key points of a book (executive summary) as opposed to just handing them a thick book (raw data).

Conversely, with inferential statistics, you are testing a hypothesis and drawing conclusions about a population, based on your sample. In this case, you are going to run into fancy sounding concepts like ANOVA, T-Test, Chi-Squared, confidence interval, regression, etc.

To understand the simple difference between descriptive and inferential statistics, all you need to remember is that descriptive statistics summarize your current dataset and inferential statistics aim to draw conclusions about an additional population outside of your dataset.

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