A regional transit authority is concerned about the number of riders on one of its bus routes. In setting


  1. 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
  2. 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 :
    Opinion
    Political Party Favor Indifferent Opposed Total
    Democrat 285
    Republican 215
    Total 202 150 148 500
    And the calculation table:
    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
  3. 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):

  1. Draw a scatter plot.
  2. Find the sample correlation.
  3. Test for correlation at the .05 level.
  4. Find the regression equation.
  5. Predict how far the tower will lean in 2010. What kind of prediction did you just perform (interpolation or extrapolation)?
  6. Find the 95% Prediction Interval for the Lean in 2010.
  7. 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
Price: $28.7
Solution: The downloadable solution consists of 19 pages, 970 words and 46 charts.
Deliverable: Word Document


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