c. To detect analytical errors and correct them
d. The results are imprecise
b. They exhibit a systematic error
c. Machine overheating
c. Is used to compute the dispersion of values around a mean
c. 99.7%
b. ±2SD
c. Evaluate for the 1 3S rule
d. The batch violates the 10x rule
b. Reject both runs
d. Serum bilirubin
d. Urine protein
b. No
b. 8
Median:
-Arrange it in ascending order: 1, 2, 3, 3, 3, 4, 5, 7, 8, 9, 11, 13, 16, 19, 22, 23, 37.
Median = MIDDLE so 8
C. 3
Mode: appears most frequently.`
a. 10.94
Mean: SUM OF ALL VALUES
a. 10.94
b. 8
c. 3
d. 19
d. 19
Midrange: Sum of Smallest and LARGEST divided by 2
а. 24.667
a. We have two groups of samples that are statistically independent from each other
b. We have one group of random samples
c. We have two groups of samples where one value in one group corresponds to a value in another group
d. None of the above
c. We have two groups of samples where one value in one group corresponds to a value in another group
45.
During a statistical calculation of a student’s t test for two groups, you find that the value of your result is less than the t standard t value for a 95% confidence. What hypothesis can you infer from these results?
a. Accept the null hypothesis (there’s no statistical difference between the two groups)
b. Accept the alternative hypothesis (there is a statistical difference between the two groups)
c. Neither hypothesis is acceptable
d. T values do not confer any significant meaning
a. Accept the null hypothesis (there’s no statistical difference between the two groups)
b. 92.98%
Sensitivity:
TP/TP+FN
Specificity:
TN/TN+FP
d. 86.05%
Sensitivity:
TP/TP+FN
Specificity:
TN/TN+FP
d. Binomial
b. Poisson