- Mark as New
- Bookmark
- Subscribe
- Mute
- RSS Feed
- Permalink
- Report Inappropriate Content
Dear users
How can I solve these two problems by SAS software.
1. A normally distributed random variable has an unknown mean Pand a known variance V2= 9. Find
the sample size required to construct a 95 percent confidence interval on the mean, that has total width of
1.0.
2. A new filtering device is installed in a chemical unit. Before its installation, a random sample
yielded the following information about the percentage of impurity: y1= 12.5, S12=101.17 (variance S1), and n1= 8.
After installation, a random sample yielded y2= 10.2, S22= 94.73 (variance S2) , n2= 9.
(a) Can you concluded that the two variances are equal? Use D= 0.05.
(b) Has the filtering device reduced the percentage of impurity significantly? Use D= 0.05.
Best regards
- Mark as New
- Bookmark
- Subscribe
- Mute
- RSS Feed
- Permalink
- Report Inappropriate Content
What have you tried yourself so far?
- Mark as New
- Bookmark
- Subscribe
- Mute
- RSS Feed
- Permalink
- Report Inappropriate Content
Nothing
- Mark as New
- Bookmark
- Subscribe
- Mute
- RSS Feed
- Permalink
- Report Inappropriate Content
1. PROC POWER
2. PROC ANOVA/TTEST but I'm not familiar with D, so thats something unique that your field is using.
@medphys wrote:
Dear users
How can I solve these two problems by SAS software.
1. A normally distributed random variable has an unknown mean Pand a known variance V2= 9. Find
the sample size required to construct a 95 percent confidence interval on the mean, that has total width of
1.0.
2. A new filtering device is installed in a chemical unit. Before its installation, a random sample
yielded the following information about the percentage of impurity: y1= 12.5, S12=101.17 (variance S1), and n1= 8.
After installation, a random sample yielded y2= 10.2, S22= 94.73 (variance S2) , n2= 9.(a) Can you concluded that the two variances are equal? Use D= 0.05.
(b) Has the filtering device reduced the percentage of impurity significantly? Use D= 0.05.
Best regards