plan a study
researchers are interested in the satisfaction levels of ontario residents surrounding available healthcare. they decide to use online surveys to conduct their research. help them plan the rest.

will the researchers use primary or secondary data?
:
in sampling people from the province, what might the best sampling technique be in order to be the most representative of ontario? why?

does this study involve qualitative or quantitative data? why?

based on your knowledge of collecting data, come up with 4 different research questions of interest to you involving a relationship between 2 variables.
1
2
3.
4
activity 8 & 9 dl2

Question

plan a study
researchers are interested in the satisfaction levels of ontario residents surrounding available healthcare. they decide to use online surveys to conduct their research. help them plan the rest.

will the researchers use primary or secondary data?
:
in sampling people from the province, what might the best sampling technique be in order to be the most representative of ontario? why?

does this study involve qualitative or quantitative data? why?

based on your knowledge of collecting data, come up with 4 different research questions of interest to you involving a relationship between 2 variables.
1
2
3.
4
activity 8 & 9 dl2

Accepted Answer

### 1. Will the researchers use primary or secondary data?
# Brief Explanations:
Primary data is collected directly by the researcher for their specific study. Since the researchers are conducting online surveys to gather data on Ontario residents' healthcare satisfaction, they are collecting data firsthand. Secondary data would be using existing data from other sources (like government reports, previous studies), but here they are creating their own survey.
# Answer:
Primary data. Because the researchers are conducting online surveys to collect data directly from Ontario residents for their specific study on healthcare satisfaction, rather than using pre - existing data from other sources.

### 2. In sampling people from the province, what might the best sampling technique be in order to be the most representative of Ontario? Why?
# Brief Explanations:
Stratified random sampling divides the population (Ontario residents) into subgroups (strata) based on relevant characteristics (e.g., age, region, income level, urban/rural). Ontario has diverse demographics (different age groups, regions like Toronto, Ottawa, rural areas, different income brackets). By stratifying, we ensure that each subgroup is represented proportionally in the sample. For example, if 20% of Ontario is rural and 80% is urban, we sample 20% from rural strata and 80% from urban strata. This way, the sample reflects the population's diversity, leading to more accurate results about healthcare satisfaction across different groups.
# Answer:
Stratified random sampling. Ontario has a diverse population with different characteristics (e.g., age, region, income, urban - rural status). Stratified random sampling divides the population into strata (subgroups) based on these characteristics. Then, samples are taken from each stratum in proportion to their size in the population. This ensures that all segments of the Ontario population are represented in the sample, making the sample more representative of the entire province's residents and their healthcare satisfaction levels.

### 3. Does this study involve qualitative or quantitative data? Why?
# Brief Explanations:
Quantitative data is numerical and can be measured or counted. In a survey about healthcare satisfaction, researchers will likely ask residents to rate their satisfaction on a scale (e.g., 1 - 5, 1 - 10) or answer questions with numerical responses (e.g., number of times they visited a doctor). These numerical values can be analyzed statistically (e.g., calculating mean satisfaction scores). Qualitative data is non - numerical (e.g., open - ended responses about “why” they are satisfied/dissatisfied), but the main data from a survey about satisfaction levels (especially if using rating scales) is numerical.
# Answer:
Quantitative data. The study is about satisfaction levels of Ontario residents with healthcare. In an online survey, satisfaction is likely to be measured using numerical scales (e.g., rating from 1 to 10, or 1 to 5) or other numerical responses (e.g., number of healthcare - related visits). These numerical values can be analyzed using statistical methods, which is characteristic of quantitative data.

### 4. Based on your knowledge of collecting data, come up with 4 different research questions of interest to you involving a relationship between 2 variables.
# Brief Explanations:
We need to create questions that explore the relationship between two variables related to healthcare satisfaction in Ontario.
1. The first variable pair: “age of residents” and “satisfaction with healthcare”. We can ask if older residents have different satisfaction levels than younger ones.
2. The second variable pair: “income level of residents” and “access to healthcare services”. We want to know if income affects how easily people can access healthcare.
3. The third variable pair: “number of healthcare providers in a region” and “satisfaction with healthcare in that region”. We can explore if more providers lead to higher satisfaction.
4. The fourth variable pair: “frequency of doctor visits” and “satisfaction with healthcare quality”. We can check if how often people see a doctor relates to their view of healthcare quality.
# Answer:
1. Is there a relationship between the age of Ontario residents and their satisfaction level with available healthcare?
2. Does the income level of Ontario residents have an impact on their satisfaction with the accessibility of healthcare services?
3. What is the relationship between the number of healthcare providers in an Ontario region and the healthcare satisfaction of residents in that region?
4. Is there a correlation between the frequency of doctor visits by Ontario residents and their satisfaction with the quality of healthcare?

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QUESTION IMAGE

Question

Explanation:

1. Will the researchers use primary or secondary data?

Answer:

2. In sampling people from the province, what might the best sampling technique be in order to be the most representative of Ontario? Why?