A hypothesis test is a statistical test that is used to determine whether there is enough evidence in a
sample of data to infer that a certain condition is true for the entire population. A hypothesis test
examines two opposing hypotheses about a population: the null hypothesis and the alternativ...
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nurs 5366 assignment 5 hypothesis
nurs 5366 assignment 5 hypothesis testing
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Assignment 5 - Hypothesis Testing
Due Feb 15 at 11:59pm Points 100 Questions 6
Available until Feb 15 at 11:59pm Time Limit None
Instructions
A hypothesis test is a statistical test that is used to determine whether there is enough evidence in a
sample of data to infer that a certain condition is true for the entire population. A hypothesis test
examines two opposing hypotheses about a population: the null hypothesis and the alternative
hypothesis. Null hypothesis: usually refers to a general statement or default position that there is no
relationship between two measured phenomena, or no difference among groups. Alternative
hypothesis: opposite of the null; there is a difference or a relationship between measured phenomena
or groups
For example, a study is designed in order to test whether there is a difference in patient satisfaction
among two groups. Patient satisfaction is better in patients cared for solely by a registered nurse as
compared to patient satisfaction in patients cared for by a team of caregivers.
You are testing this hypothesis so let’s look at the null and alternative hypotheses.
Null Hypothesis: there is no difference in patient satisfaction. Alternative hypothesis: there is a
difference in patient satisfaction
In order to test this hypothesis, the researcher sets the level of significance (alpha). In most nursing
research the level of significance is set to .05. The number alpha is the threshold value that we measure
p values against. It tells us how extreme observed results must be in order to reject the null hypothesis
of a significance test. The alpha value gives us the probability of a type I error. Type I errors occur
when we reject a null hypothesis that is actually true (false positive). Type II errors occur when a
researcher fails to reject a false null hypothesis (a "false negative", i.e., rejecting a true hypothesis as
incorrect.
p-value: probability; every test statistic or hypothesis has a corresponding probability or p-value. This
value is the probability that the observed statistic occurred by chance alone, assuming that the null
hypothesis is true.
Statistical Significance
To determine if an observed outcome is statistically significant, we compare the values of alpha and the
p -value. There are two possibilities that emerge:
The p-value is less than or equal to alpha. In this case, we reject the null hypothesis. When this
happens, we say that the result is statistically significant. In other words, we are reasonably sure that
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, there is something besides chance alone that gave us an observed sample.
The p-value is greater than alpha. In this case, we fail to reject the null hypothesis. When this happens,
we say that the result is not statistically significant. In other words, we are reasonably sure that our
observed data can be explained by chance alone.
Using the following chart, determine whether to accept or reject the null hypothesis and what type of
error may occur based on the p-values. Plac your answers in the multiple fill in the blank quiz. Use only
the words ACCEPT OR REJECT and I or II (Upper-case I (eye) only) in your answers. Do not add
the word "TYPE". Any other words or misspellings will be counted wrong. No late assignments
accepted in Week 5.
null
p-value alpha potential error
hypothesis
1. .015 .01 accept or reject Type I or Type II
2. .01 .01 accept or reject Type I or Type II
3. .009 .01 accept or reject Type I or Type II
4. .061 .05 accept or reject Type I or Type II
5. .022 .05 accept or reject Type I or Type II
6. .05 .05 accept or reject Type I or Type II
This quiz was locked Feb 15 at 11:59pm.
Attempt History
Attempt Time Score
LATEST Attempt 1 1 minute 100 out of 100
Score for this quiz: 100 out of 100
Submitted Feb 11 at 3pm
This study source was downloaded by 100000822824483 from CourseHero.com on 12-12-2021 03:17:59 GMT -06:00
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