Answer:
Explained below.
Explanation:
A population is the set of all the data that can be collected and from which a smaller set of data is drawn for further examination. A population may denote to a group of individuals, articles, trials or measurements. A population can thus be called as a collection of information regarding subjects combined together by a common characteristic.
In this case, the population consists of all people in the country.
A sample denotes a smaller, controllable form of a larger cluster. It is a subset comprising of the characteristics of a bigger population. Samples are used in statistical experiments when the population under consideration is too large for the test to include all the members.
In this case, the sample consists of 1000 randomly selected adults.
A parameter is a valuable element of statistical analysis. It denotes the characteristics that are used to define a given population. It is used to define a particular attribute of the population. For instance, population mean, population standard deviation, population proportion and so on.
In this case, the population parameter is the proportion of adults who believe there has been progress in finding a cure for cancer in the last 28years.
A statistic is the value of the characteristics that are computed using this sample. For instance, sample mean, sample standard deviation, sample proportion and so on.
In this case, the sample statistic is the 0.20 proportion of adults believe there has been progress in finding a cure for cancer in the last 28 years.