HLTH 501/511 – Biostatistics and Research The following table describes the dist
ID: 3271157 • Letter: H
Question
HLTH 501/511 – Biostatistics and Research
The following table describes the distribution of health rating for a sample of patients:
Patient
Health Rating
1
Good
2
Poor
3
Good
4
Poor
5
Poor
6
Good
7
Poor
8
Poor
9
Poor
10
Good
What is the variable described by this table? At what level is this variable measured?
What are the cases that are the units of analysis?
What is the central tendency of this distribution?
The following data are ages at death for a sample of people who were all born in the same year:
12, 34, 42, 48, 50, 54, 55, 55, 58, 59, 60, 65, 67, 68, 68, 69, 70, 70, 72, 74, 76, 76, 79, 81, 85, 87
Why is mode not an appropriate measure of central tendency for these data?
What is the mean age at death for these data (include the relevant units of measurement in your answer)?
Calculate the median age at death for these data.
Calculate the range for these data.
Calculate the interquartile range for these data.
Based on your calculations write a short description of this distribution
A company is interested in the use-life of its products as an indicator of product quality. It sets a use-life of 200 hours as the average length of use with which it believes its products should last. The Quality Control Department randomly samples 120 products and finds the mean use-life of these to be 203 hours. What will be the appropriate test to see if its products are produced at the desired sample?
If you reject a null hypothesis at the 1% level of significance (that is, alpha = 0.01) will you also reject it at the 5% level of significance? Why or why not?
Patient
Health Rating
1
Good
2
Poor
3
Good
4
Poor
5
Poor
6
Good
7
Poor
8
Poor
9
Poor
10
Good
Explanation / Answer
Solution:-
2)
State the hypotheses. The first step is to state the null hypothesis and an alternative hypothesis.
Null hypothesis: = 200
Alternative hypothesis: 200
Note that these hypotheses constitute a two-tailed test. The null hypothesis will be rejected if the sample mean is too big or if it is too small.
Formulate an analysis plan. For this analysis, the significance level is 0.05. The test method is a one-sample t-test.
Analyze sample data. Using sample data, we compute the standard error (SE), degrees of freedom (DF), and the t statistic test statistic (t).
If we reject a null hypothesis at the 1% level of significance, we will you also reject it at the 5% level of significance.
Beacuse we reject the null hypothesis at 1% significance level when the p value of test is less than 0.01, hence that p value is also less than 0.05, so we will you also reject it at the 5% level of significance.
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.