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The analysis of a nondirectional hypothesis is called a
a. one-tailed test of significance.
b. two-tailed test of significance.
c. three-tailed test of significance.
d. no-tailed test of significance. - ANSWER ✓ b. two-tailed test of significance.
An important goal of inferential statistical analysis is to
a. analyze and describe data collected during a study
b. determine whether theoretical constructs are valid.
c. generalize results from the study to the target population.
d. measure the reliability and validity of measurement tools. - ANSWER ✓ c.
generalize results from the study to the target population.
The nurse researcher understands that nonparametric analyses are conducted if the
variables are measured at what two levels?
a. Nominal and ordinal
b. Nominal and interval
c. Nominal and ratio
d. Ordinal and ratio - ANSWER ✓ a. Nominal and ordinal
After a clinical drug trial to measure the effects of atorvastatin administration on
low-density lipoprotein levels, which of the following conclusion statements is
acceptable in the research report?
a. Findings of clinical drug tests suggest that atorvastatin works to reduce low-
density lipoprotein levels in study subjects.
b. Results of this clinical drug trial demonstrate that atorvastatin works to reduce
low-density lipoprotein levels in all adults over age 65.
,c. The negative correlation between atorvastatin administration and low-density
lipoprotein levels indicates that atorvastatin causes a decrease in LDL levels.
d. The study proved that atorvastatin decreases low-density lipoprotein levels -
ANSWER ✓ a. Findings of clinical drug tests suggest that atorvastatin works to
reduce low-density lipoprotein levels in study subjects
In a discussion that includes the analysis of data collected during a pilot study, the
researcher discusses the relationships and differences in data sets and makes
predictions based on this analysis. The researcher will use which process?
a. Descriptive analysis
b. Inferential analysis
c. Reliability testing
d. Validity testing - ANSWER ✓ b. Inferential analysis
A nurse conducts a study to evaluate the likelihood that single adolescent mothers
will breastfeed their newborn infants if they are given materials about the benefits
of breastfeeding. The results show a P value of .18. The nurse may conclude that
a. the value is too low to be able to draw meaningful conclusions.
b. there is an 18% probability that this population will breastfeed their infants.
c. there is an 18% probability that this population will not breastfeed their infants.
d. there is an 82% probability that this population will breastfeed their infants -
ANSWER ✓ b. there is an 18% probability that this population will breastfeed
their infants.
When critically appraising a study, the researcher understands that the data
analysis process involves the management of numerical data and the statistical
analysis of these data to produce study results. Which statement is true regarding
the steps of the data analysis process?
a. Researchers always use computers for data analysis.
b. Researchers present as complete a picture of the sample as possible in their
report.
c. Researchers need to report the validity of the measurement methods used in their
study.
d. Researchers typically do not indicate whether outliers are identified during data
analysis. - ANSWER ✓ b. Researchers present as complete a picture of the sample
as possible in their report.
Which of the following is not one of the components of power analysis?
a. Effect size
,b. Error type
c. Power
d. Sample size - ANSWER ✓ b. Error type
In statistical analysis of data, the alpha value is used to
a. describe the degree of generalizability of the findings.
b. determine the risk of a type I error.
c. reveal whether the P value meets criteria for statistical significance.
d. speculate on the frequency distribution of study values. - ANSWER ✓ c. reveal
whether the P value meets criteria for statistical significance.
A researcher studies the effects of a nursing intervention on a desired patient
outcome and discovers a statistically significant difference between groups
receiving the intervention and those not receiving the intervention. The researcher
concludes that the intervention is effective. This researcher has made a
a. generalization.
b. statistical inference.
c. type I error.
d. type II error - ANSWER ✓ b. statistical inference.
When comparing a study with a level of significance of 0.05 with a study having a
level of significance of 0.01, the researcher knows that the study with the level of
significance of 0.05 is more likely to have a
a. correct null hypothesis.
b. generalizable finding.
c. type I error.
d. type II error. - ANSWER ✓ c. type I error.
When a researcher concludes that study findings are applicable to the total
population, this is an example of
a. generalization.
b. inference.
c. probability.
d. significance. - ANSWER ✓ a. generalization.
In research, the probability that any data score will be within a certain range of a
mean value is calculated based on the theory of
a. frequency.
b. inference.
, c. levels of significance.
d. the normal curve - ANSWER ✓ d. the normal curve.
A researcher plans to apply a one-tailed test of significance when analyzing data
from a study. Which is true about using this test?
a. The researcher will be unable to predict whether differences are greater than or
less than the mean value.
b. This is a nondirectional hypothesis, so values will not tend to vary in a specific
direction.
c. This may increase the possibility of a type I error when evaluating the
significance of the findings
d. This will decrease the possibility of a type II error when drawing conclusions
about the data. - ANSWER ✓ d. This will decrease the possibility of a type II error
when drawing conclusions about the data.
In a study to examine motivational techniques to help adolescent smokers to quit
smoking, the null hypothesis states that the intervention will have no effect on this
population. The researcher establishes a level of significance of 0.01. When
analyzing the data, the researcher concludes that there is a significant difference
between subjects receiving the intervention and those who do not. In this study, a
type I error means there is a
a. 1% chance that the conclusion is wrong.
b. 1% chance that the conclusion is correct.
c. 99% chance that the conclusion is wrong.
d. 99% chance that the null hypothesis is correct. - ANSWER ✓
A researcher develops a study to examine the effects of Keep Yourself Safe
Screening (KYSS) on the incidence of intimate partner violence (IPV). The study
level of significance is 0.05. The null hypothesis, that KYSS will have no effect on
IPV, is found to be true. When reviewing the study for type II errors, the reviewer
understands that
a. a level of significance of 0.01 would decrease the risk of a type II error.
b. the level of significance does not affect the chance of a type II error.
c. there is a 5% chance that the null hypothesis is false.
d. there is a 5% chance that the null hypothesis is true - ANSWER ✓ c. there is a
5% chance that the null hypothesis is false.
In a data set that has a normal distribution what percent of scores will be within
two standard deviations above or below the mean?