Question

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@Directrix

Answer 1

Descriptive Statistics

Descriptive statistics is the term given to the analysis of data that helps describe, show or summarize data in a meaningful way such that, for example, patterns might emerge from the data. Descriptive statistics do not, however, allow us to make conclusions beyond the data we have analysed or reach conclusions regarding any hypotheses we might have made. They are simply a way to describe our data.


Typically, there are two general types of statistic that are used to describe data:

◦Measures of central tendency: these are ways of describing the central position of a frequency distribution for a group of data. In this case, the frequency distribution is simply the distribution and pattern of marks scored by the 100 students from the lowest to the highest. We can describe this central position using a number of statistics, including the mode, median, and mean. You can read about measures of central tendency here.

◦Measures of spread: these are ways of summarizing a group of data by describing how spread out the scores are. For example, the mean score of our 100 students may be 65 out of 100. However, not all students will have scored 65 marks. Rather, their scores will be spread out. Some will be lower and others higher. Measures of spread help us to summarize how spread out these scores are. To describe this spread, a number of statistics are available to us, including the range, quartiles, absolute deviation, variance and standard deviation.

https://statistics.laerd.com/statistical-guides/descriptive-inferential-statistics.php

Answer 2

Inferential statistics are techniques that allow us to use these samples to make generalizations about the populations from which the samples were drawn. It is, therefore, important that the sample accurately represents the population. The process of achieving this is called sampling (sampling strategies are discussed in detail here on our sister site). Inferential statistics arise out of the fact that sampling naturally incurs sampling error and thus a sample is not expected to perfectly represent the population.

The methods of inferential statistics are (1) the estimation of parameter(s) and (2) testing of statistical hypotheses.

Answer 3

wow those are great explanations

Answer 4

I agree. There is other good info on the site.

I'm calling #2 as Descriptive.

Reason: Descriptive statistics is the term given to the analysis of data that helps describe, show or summarize data.

Answer 5

So, what are you saying for #2?

Answer 6

yeah same because of what my book says "Descriptive statistics is used to numerically summarize or represent a set
of data"

Answer 7

A recent report estimates that 4 out of every 5 dentists recommend a brand of toothpaste.

This refers to the population of all dentists.

I'm calling it Inferential.

Answer 8

Because:
Inferential statistics are techniques that allow us to make generalizations about the populations.

Answer 9

What do you say?

Answer 10

yes what you said makes sense because of the "generalizations about the populations"

Answer 11

Look at this:

The dentists and the sick trees questions are here.

http://openstudy.com/updates/54b84e46e4b0eac13eb42aa8

Answer 12

@texaschic101 has the same confusion we do or had over the p-hat question.

Answer 13

she is not online

Answer 14

No problem with that.

What did you get on the typing prolem?

Answer 15

I just check the answers when I finish them

Answer 16

So, you have not yet worked on these problems?

Answer 17

yes I have

Answer 18

oohhh wait nvm I thought you meant the answers if I got them wrong or right ok hold on

Answer 19

and for that one im between

Answer 20

mu is for the population under consideration

x-bar is for the sample from the population

Answer 21

28,32,38,41,45 is the sample and x-bar is 36.8

The population from which that sample came has a given mean of 38.2 which is Mu.

Answer 22

oh so I was right? :)

Answer 23

The vice-versa condition was not correct because it allowed for two different sets of answers.

Answer 24

yeah but that was my second choice my first one was what I wrote :) and im actually I got it right lol