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Part 1: Define and explain historical research. Explain a situation in which historical research would be appropriate.
Part 2: Explain the difference between external and internal evidence and give examples of each.
Part 3: Provide an explanation and an example of the following descriptive research designs:
a) Observation studies
b) Correlation research
c) Developmental designs
d) Cross-Sectional Design
e) Longitudinal Design
f) Cross-sequential
g) Survey research
h) Sampling bias
Carry out suitable multiple comparison procedure to determine the source of the difference.
Recognize and describe potential threats (up to 3) to internal validity.
If a six appears for the second time, the process is repeated with the move depending on the number shown and the previous throws. If a six appears for the third time, the turn of the player ends without moving the token.
Using a 5% level of significance, is there any difference in proportion of guests who would select the two resorts? What is your conclusion?
Data in table represent number of consumer complaints against major U.S. airlines. If one complaint from table is arbitrarily chosen, determine the probability that it was filed against United Airlines.
A recent study of cardiovascular risk factors reports that 30% of adults meet the criteria of hypertension. if 15 adults are assessed, what is the probabiliy that?
Complete the table and answer the following questions. Use the .05 significance level.
A nutritionist conducted an experiment on memory for dreams. She wanted to test whether it really was true that eating cheese before going to bed made you have bad dreams. Over three nights, the nutritionist fed people different foods before bed.
Determine the likelihood of accepting a lot which is 1% defective?
Construct a 95% confidence interval for the proportion of all those who experience some type of discomfort.
Data collected by a child development scientist produced a 95% confidence interval for the mean age, μ (in weeks) at which babies began to craw as [21.4, 31.6]
Generate a 95 % confidence interval for the difference in proportions of patients who report pain relief.
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