00:01
So i see that you need help with these questions.
00:04
So it says, the following data set reports basic information on the world's seven most populous countries.
00:13
So it has global rank, 2010 estimated population per capita gdp in us dollars, temperature in celsius of the largest city on april 19th, 2013.
00:26
13.
00:27
The continent, asia is two, latin america is six, north america is five percent of population living in the area in urban areas.
00:38
Is any variable in the data set a nominal variable? if so, which? so first of all, you need to know what a nominal variable is.
00:48
A nominal variable is a categorical variable for which there is no intrinsic ordering to categories.
00:54
For example, it could be gender, gender, race, and country.
00:58
So in this case, it's country.
01:02
Okay.
01:06
And then those are nominal variables.
01:10
The names of countries in the continent numbers, which represent different continents.
01:15
So continent numbers, which are categories without any intrinsic order.
01:25
Then it says, is any variable in this data set ordinal variable? if so, which? so, in the data set for ordinal, okay, that would be rank, population, gdp, temperature, the urban percentage, okay? number seven, suppose that the above data were collected for the purpose of learning about the world's seven most populous countries in only those countries.
02:06
In other words, the above countries define all the countries in which we are interested.
02:12
If we were to develop summary measures on some of the variables, for example, the average percent people living in urban areas, would we call that average a sample statistic or a population parameter? so that would would be a sample statistic.
02:37
Okay.
02:38
So, because a sample statistic is a numerical measure that describes the aspect of the sample.
02:46
A population parameter is a numerical measure that describes the aspect of the population.
02:54
Okay.
02:56
Shown below are the heights and inches of the first round players who were the first round picks by the national basketball association professional teams in 2009...