WGU C784 Applied Healthcare Statistics Objective
Assessment Comprehensive Resource To Help You
Ace 2026-2027 Includes Frequently Tested
Questions With ELABORATED 100% Correct
COMPLETE SOLUTIONS
Guaranteed Pass First Attempt!! Current Update!!
1. Sensitivity - ANSWER Ability of a test to correctly identify people who
have a health problem; the probability of testing positive if the health
problem is truly present. Sensitivity (Sn) = [TP / (TP + FN)] x 100
2. Specificity - ANSWER Ability of a test to correctly identify people who
don't have a health problem; the probability of testing negative if the health
problem is truly absent. Specificity (Sp) = [TN/(TN + FP)] x 100
3. Normal Curve - ANSWER A graphical interpretation of a population that
(a) it is bell shaped; (b) the mean, median, and mode are equal; (c) it is
symmetrical about the mean; and (d) the total area under the curve above
the x-axis is equal to 1. 68% of the data in a normal distribution lie within ±1
SD from the mean, 95% of the data lie within ±2 SD from the mean, and
99.7% of the data lie within ±3 SD from the mean. If we know the mean and
SD of a population, we can infer the distribution of the variable for the
entire population without collecting any data.
4. Standard Normal Curve - ANSWER The standard normal distribution is a
particularly useful form of the normal distribution in which the mean is 0
, and the SD is 1. Data points in any normally distributed data set can be
converted to a standard normal distribution by transforming the data points
into z-score test results. Data points can be converted to this by subtracting
the mean from each value and dividing the difference by the SD so z=value-
mean/SD. the number z= the number of SD away from the mean. µ=0
(mean) and σ=1 (standard deviation); uses Z not X
5. Central Limit Theorem - ANSWER states that when a number of
different samples are drawn from the same population, the distribution of
the sample means tends to be normally distributed. When many samples
are drawn from a population, the means of these samples tend to be
normally distributed; that is, when they are charted along a baseline, they
tend to form the normal curve. The larger the number of samples, the more
the distribution approximates the normal curve. Also, if the average of the
means of the samples is calculated (the mean of the means), this average
(or mean) is very close to the actual mean of the population. Again, the
larger the number of samples, the closer this overall mean is to the
population mean.
6. Standard error of the mean - ANSWER The standard deviation of a
sampling distribution of sample means. SE = SD/square route of n. An
estimation of the unaccounted for error within a mean. If the mean is 10
and the standard error of the mean is 2, then the true score is likely to fall
somewhere between 8 and 12 or 10 +/- 2.
7. Z-score - ANSWER Tells how many standard deviations a value is from
the mean; have a mean of zero and a standard deviation of one. A statistical
score that is expressed as a deviation from the mean in standard deviation
units, which allows a comparison of scores drawn from different
, distributions. They do not have units, so we can compare two different
values.
8. Null hypothesis - ANSWER proposes that there is no difference or
relationship between the variables of interest. Often written as Ho, the null
hypothesis is the foundation of the statistical test. When you statistically
test a hypothesis, you assume that Ho correctly describes the state of affairs
between the two variables of interest. If a significant difference or
relationship is found, the null hypothesis is rejected; if no difference or
relationship is found, Ho is accepted.
9. Alternative hypothesis - ANSWER also known as the acting hypothesis
or the research hypothesis, represented by Hr or Ha; expressed in one of
two ways: directional hypothesis states that there will be a relationship
between two variables and gives the expected direction of that relationship;
nondirectional hypothesis simply states that there will be a statistically
significant relationship between two variables, but the direction is not
stated
10.One-sample z-test - ANSWER used to compare the mean value of a
variable obtained from a sample with the population mean of that variable
to see whether the sampled value is statistically significantly different from
the population value (uses z-scores to determine whether to reject the null
hypothesis)
11.Critical value - ANSWER The dividing point between the region where
the null hypothesis is rejected and the region where it is not rejected; the
cutoff values of the z-test at which the null hypothesis is rejected are called
the "critical values.
Assessment Comprehensive Resource To Help You
Ace 2026-2027 Includes Frequently Tested
Questions With ELABORATED 100% Correct
COMPLETE SOLUTIONS
Guaranteed Pass First Attempt!! Current Update!!
1. Sensitivity - ANSWER Ability of a test to correctly identify people who
have a health problem; the probability of testing positive if the health
problem is truly present. Sensitivity (Sn) = [TP / (TP + FN)] x 100
2. Specificity - ANSWER Ability of a test to correctly identify people who
don't have a health problem; the probability of testing negative if the health
problem is truly absent. Specificity (Sp) = [TN/(TN + FP)] x 100
3. Normal Curve - ANSWER A graphical interpretation of a population that
(a) it is bell shaped; (b) the mean, median, and mode are equal; (c) it is
symmetrical about the mean; and (d) the total area under the curve above
the x-axis is equal to 1. 68% of the data in a normal distribution lie within ±1
SD from the mean, 95% of the data lie within ±2 SD from the mean, and
99.7% of the data lie within ±3 SD from the mean. If we know the mean and
SD of a population, we can infer the distribution of the variable for the
entire population without collecting any data.
4. Standard Normal Curve - ANSWER The standard normal distribution is a
particularly useful form of the normal distribution in which the mean is 0
, and the SD is 1. Data points in any normally distributed data set can be
converted to a standard normal distribution by transforming the data points
into z-score test results. Data points can be converted to this by subtracting
the mean from each value and dividing the difference by the SD so z=value-
mean/SD. the number z= the number of SD away from the mean. µ=0
(mean) and σ=1 (standard deviation); uses Z not X
5. Central Limit Theorem - ANSWER states that when a number of
different samples are drawn from the same population, the distribution of
the sample means tends to be normally distributed. When many samples
are drawn from a population, the means of these samples tend to be
normally distributed; that is, when they are charted along a baseline, they
tend to form the normal curve. The larger the number of samples, the more
the distribution approximates the normal curve. Also, if the average of the
means of the samples is calculated (the mean of the means), this average
(or mean) is very close to the actual mean of the population. Again, the
larger the number of samples, the closer this overall mean is to the
population mean.
6. Standard error of the mean - ANSWER The standard deviation of a
sampling distribution of sample means. SE = SD/square route of n. An
estimation of the unaccounted for error within a mean. If the mean is 10
and the standard error of the mean is 2, then the true score is likely to fall
somewhere between 8 and 12 or 10 +/- 2.
7. Z-score - ANSWER Tells how many standard deviations a value is from
the mean; have a mean of zero and a standard deviation of one. A statistical
score that is expressed as a deviation from the mean in standard deviation
units, which allows a comparison of scores drawn from different
, distributions. They do not have units, so we can compare two different
values.
8. Null hypothesis - ANSWER proposes that there is no difference or
relationship between the variables of interest. Often written as Ho, the null
hypothesis is the foundation of the statistical test. When you statistically
test a hypothesis, you assume that Ho correctly describes the state of affairs
between the two variables of interest. If a significant difference or
relationship is found, the null hypothesis is rejected; if no difference or
relationship is found, Ho is accepted.
9. Alternative hypothesis - ANSWER also known as the acting hypothesis
or the research hypothesis, represented by Hr or Ha; expressed in one of
two ways: directional hypothesis states that there will be a relationship
between two variables and gives the expected direction of that relationship;
nondirectional hypothesis simply states that there will be a statistically
significant relationship between two variables, but the direction is not
stated
10.One-sample z-test - ANSWER used to compare the mean value of a
variable obtained from a sample with the population mean of that variable
to see whether the sampled value is statistically significantly different from
the population value (uses z-scores to determine whether to reject the null
hypothesis)
11.Critical value - ANSWER The dividing point between the region where
the null hypothesis is rejected and the region where it is not rejected; the
cutoff values of the z-test at which the null hypothesis is rejected are called
the "critical values.
