Name four sources of information to use in collecting secondary data.

Name four sources of secondary data information for research studies.

What are secondary data? Differentiate between internal and external secondary data.

What is the difference between primary data and secondary data? Between internal secondary data and external secondary data?

What sources are considered secondary sources, and where can they be found? (Obj. 3)

How do the benefit principle and the ability-to-pay principle differ? Give an example of each.

Name two different methods for evaluating evidence in nursing research.

What characteristics do you think a research scientist should have? Why?

Research each of the following sampling methods. Then describe each method and discuss whether using the method could result in bias.

Systematic sample

Lactose intolerance causes difficulty in digesting dairy products that contain lactose (milk sugar). It is particularly common among people of African and Asian ancestry. In the United States (ignoring other groups and people who consider themselves to belong to more than one race), 82% of the population is white, 14% is black, and 4% is Asian. Moreover, 15% of whites, 70% of blacks, and 90% of Asians are lactose intolerant. Suppose we select a U.S. person at random. Given that the person is lactose intolerant, find the probability that he or she is Asian. Show your work.

A survey of 4826 randomly selected young adults (aged 19 to 25 ) asked, "What do you think the chances are you will have much more than a middle-class income at age 30? The gender of each respondent was also recorded. Use the information in the two-way table to make a segmented bar chart to show the relationship between gender and opinion about becoming rich.

$$\begin{array} {lc} & \text{Gender} \\ \text {Opinion} &\begin{array}{l|c|r|r} & \text { Female } & \text { Male } & \text { Total } \\ \hline \text { Almost no chance } & 96 & 98 & 194 \\ \hline \begin{array}{l} \text { Some chance but } \\ \text { probably not } \end{array} & 426 & 286 & 712 \\ \hline \text { A } 50-50 \text { chance } & 696 & 720 & 1416 \\ \hline \text { A good chance } & 663 & 758 & 1421 \\ \hline \text { Almost certain } & 486 & 597 & 1083 \\ \hline \text { Total } & 2367 & 2459 & 4826 \end{array} \\ \end{array}$$

Why should you avoid using the place manager?

If a hypothesis is rejected at a $5\%$ level of significance, it

$a$ will always be rejected at the $1\%$ level
$b$ will always be accepted at the $1\%$ level
$c$ will never be tested at the $1\%$ level
$d$ may be rejected or not rejected at the $1\%$ level
$e$ none of the above

Why is the survey method an important tool for obtaining information?