A regional transit authority is concerned about the number of riders on one of its bus routes. In setting
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A regional transit authority is concerned about the number of riders on one of its bus routes. In setting up the route, the assumption is that the number of riders is the same on every day from Monday through Friday. Using the following data, test with
\[\alpha =.05\]
to determine whether the transit authority’s assumption is correct. Please use the table for your calculations.
Day Number of Riders Monday 13 Tuesday 16 Wednesday 28 Thursday 17 Friday 16 \[({{O}_{ij}}-{{E}_{ij}})\] \[{{({{O}_{ij}}-{{E}_{ij}})}^{2}}\] \[\frac{{{({{O}_{ij}}-{{E}_{ij}})}^{2}}}{{{E}_{ij}}}\] 13 16 28 17 16 -
A random sample of 500 persons is questioned regarding their political affiliation and opinion on a tax reform bill. Test if the political affiliation and their opinion on a tax reform bill are dependent at 1% level of significance.
Opinion Political Party Favor Indifferent Opposed Total Democrat 138 83 64 285 Republican 64 67 84 215 Total 202 150 148 750
If you want, fill in the expected crosstabulation table :
And the calculation table:Opinion Political Party Favor Indifferent Opposed Total Democrat 285 Republican 215 Total 202 150 148 500 Party Opinion \[({{O}_{ij}}-{{E}_{ij}})\] \[{{({{O}_{ij}}-{{E}_{ij}})}^{2}}\] \[\frac{{{({{O}_{ij}}-{{E}_{ij}})}^{2}}}{{{E}_{ij}}}\] Democrat Favor Democrat Indifferent Democrat Opposed Republican Favor Republican Indifferent Republican Opposed - The Leaning Tower of Pisa is an architectural wonder. Engineers concerned
about the tower’s stability have done extensive studies of its increasing tilt.
Measurements of the lean of the tower over time provide much useful
information. The following table gives measurements for the years 1975 to 1987.
The variable "lean" represents the difference between where a point on the tower
would be if the tower were straight and where it actually is. The lean is
measured in meters.
| Year | Lean |
| 1975 | 2.9642 |
| 1976 | 2.9644 |
| 1977 | 2.9656 |
| 1978 | 2.9667 |
| 1979 | 2.9673 |
| 1980 | 2.9688 |
| 1981 | 2.9696 |
| 1982 | 2.9698 |
| 1983 | 2.9713 |
| 1984 | 2.9717 |
| 1985 | 2.9725 |
| 1986 | 2.9742 |
| 1987 | 2.9757 |
Perform a COMPLETE Regression Analysis (Do the parts in order and BOX your final answer):
- Draw a scatter plot.
- Find the sample correlation.
- Test for correlation at the .05 level.
- Find the regression equation.
- Predict how far the tower will lean in 2010. What kind of prediction did you just perform (interpolation or extrapolation)?
- Find the 95% Prediction Interval for the Lean in 2010.
- Find the coefficient of determination and interpret it.
4. A researcher conducted a study of two different diets and two different exercise programs. Three randomly selected subjects were assigned to each group for one month. The response is the amount of weight each lost. Complete the ANOVA table and perform the appropriate analyses, including analysis of the interaction plot.
| ANOVA | ||||||
| Source of Variation | SS | df | MS | F | F crit | |
| Exercise Program | 3 | 1 | 3 | 0.4286 | 5.317655 | Don’t reject |
| Diet | 147 | 1 | 147 | 21 | 5.317655 | Reject |
| Interaction | 3 | 2 | 1.5 | 0.2143 | 5.317655 | Don’t reject |
| Error | 49 | 7 | 7 | |||
| Total | 202 | 11 |
Means
| Exercise 1 | Exercise 2 | |
| Diet 1 | 5 | 5 |
| Diet 2 | 11 | 13 |
5. Four storage procedures of milk are under study. The index of bacteria count after 60 hours of storage were tabulated. Use \[\alpha =.01\] to test for differences in the storage systems.
Regardless of your answer perform pair-wise comparisons to check for equality between each pair of treatments. The data are shown below:
| A | B | C | D | ||
| 3 | 4 | 16 | 5 | ||
| 6 | 7 | 13 | 6 | ||
| 4 | 6 | 11 | 8 | ||
| 3 | 2 | 14 | 7 | ||
| 1 | 5 | 13 | 3 | ||
|
|
3.4 | 4.8 | 13.4 | 5.8 | |
| \[{{s}^{2}}\] | 3.3 | 3.7 | 3.3 | 3.7 | \[\overline{\overline{x}}=\] 6.85 |
Deliverable: Word Document
