Question

In: Statistics and Probability

Using key terms, create a scenario where you can find a population, a sample, the parameter,...

Using key terms, create a scenario where you can find a population, a sample, the parameter, the statistic, a variable, and data. Post your scenario and provide a detailed description using the key terms. After reviewing the information, what did you learn about your target population?

Solutions

Expert Solution

Let us consider a scenario where Govt. wants to calculate Per Capita Income of the country. Here, the people of the country can be considered as Population. To need to calculate Per Capita Income, we need to collect data. So, we take a sample because it is very difficult to collect the income of every individual in the country. To collect the sample, we may divide a country (population) into different regions (sub-population) where we can easily take a random sample from the population. Since we want to estimate Per Capita Income of country. So, Per_Capita_Income is a parameter where the average income of people based on the sample can be treated as a statistic.

We should collect data like age_of _person, their occupations, their annual income, extra. These are the variable needed to obtain the objective.

Since we know that every person in a country can't be treated as treated under the category of employment. So, our target population should be the person of age group between 16-60 since in a country Labour Force can be defined for the age group 16-60.


Related Solutions

1.Using key terms, create a scenario where you can find a population, a sample, the parameter,...
1.Using key terms, create a scenario where you can find a population, a sample, the parameter, the statistic, a variable, and data. Post your scenario and provide a detailed description using the key terms. After reviewing the information, what did you learn about your target population? 2.define confidence interval and degree of confidence. provide one example of confidence interval and interpret the result?
Identify if population parament or sample statistic: Is statement population parameter or sample statistic? If, parameter,...
Identify if population parament or sample statistic: Is statement population parameter or sample statistic? If, parameter, then identify population and parameter. If sample, then, what is population, sample, and statistic? A) North Carolina State’s rugby team scored an average of 29.8 points per game in the 2015 season. B) Based on a new poll of 5000 citizens, they believe that 89% of voters plan to cast their ballot for Mayor Green in the upcoming election. C) A calculating fanatic conducts...
Match the terms Population Statistic Distribution Parameter Sample 1.A fixed measure which describes a population of...
Match the terms Population Statistic Distribution Parameter Sample 1.A fixed measure which describes a population of interest 2.Numbers that summarize data from a sample 3. One or more observations or individuals selected from a population 4. All members from a specified group of interest 5. A graph of frequencies or probabilities of values taken by a variable
Describe sampling error, making use of the following terms: sample, population, parameter, statistic.
Describe sampling error, making use of the following terms: sample, population, parameter, statistic.
In this question using c++, you have to design the Pascal triangle where you can create...
In this question using c++, you have to design the Pascal triangle where you can create a list of coefficients of a binomial of any size that is passed to the constructor. Data members and member functions of this class are of your design choice. You need to use only pointers and pointers to pointers (do not use regular array notations). Create a two-dimensional array in the heap memory (which creates a dynamic memory). Use an application program to print...
1) what is the difference between sample estimate and population parameter? if the sample mean of...
1) what is the difference between sample estimate and population parameter? if the sample mean of GRE test scores distribution was 90 and variance equivelent to 225 what can you say about the population distribution? 2) if the mean score of class of 20 students in Marketing is 80 and variance is 256. calculate the coefficient of variation and provide an interpretation of the results.
Match the terms with the following descriptions: population sample population size sample size population mean sample...
Match the terms with the following descriptions: population sample population size sample size population mean sample mean variance standard deviation alpha null hypothesis alternative hypothesis degrees of freedom hypothesized mean p-value t-statistic The set of data for ALL individuals or items of interest., e.g. everyone in the world, the entire of Texas, all of our customers, etc. __________ Data you take randomly from the population because it’s too costly or not feasible to measure the entire population. A subset of...
Part I. Provide an example of a population, a sample, a parameter, and a statistic.
  Part I. Provide an example of a population, a sample, a parameter, and a statistic. Part II. Let’s say researchers are planning a study on COVID-19. They end up with the following kind of variables: dichotomous, ordinal, categorical, and continuous. Provide one example each of these types of variables in their study. If you had to visualize the ordinal, categorical, and continuous variable, what plots would you use? Part III. What does the 81st percentile of the data signify?...
Differentiate between a population and a sample, and a parameter and a statistic. In your explanation,...
Differentiate between a population and a sample, and a parameter and a statistic. In your explanation, apply the concepts of descriptive and inferential statistics. Provide specific examples to illustrate each. Discuss why the ability to differentiate these terms is critically important when interpreting research findings related to public health.
Create a BUBBLE (SPIDER) concept map of these terms listed in the Overview as Key Terms...
Create a BUBBLE (SPIDER) concept map of these terms listed in the Overview as Key Terms (there are nine of them) by generating a definition for each term and discussing the connections between/within this set of terms ranking them from central to supporting concepts. A bubble/spider concept map organizes concepts from central to supporting, with the more overarching terms in the center and the supporting/defining terms radiating out. Labeled lines with arrows show linkages between concepts and how they are...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT