11.7 Lab 1: chi-square goodness-of-fit

Lab 1: chi-square goodness-of-fit

Class Time:

Names:

Student learning outcome

• The student will evaluate data collected to determine if they fit either the uniform or exponential distributions.

Collect the data

1. Record the values.

   __________	__________	__________	__________	__________
   __________	__________	__________	__________	__________
   __________	__________	__________	__________	__________
   __________	__________	__________	__________	__________
   __________	__________	__________	__________	__________
   __________	__________	__________	__________	__________

2. Construct a histogram of the data. Make five to six intervals. Sketch the graph using a ruler and pencil. Scale the axes.

   

3. Calculate the following:
   1. $\overline{x}=$ ________
   2. s = ________
   3. s ² = ________

Uniform distribution

1. Using your lowest and highest values, X ~ U (_______, _______)
2. Divide the distribution into fifths.
3. Calculate the following:
   1. lowest value = _________
   2. 20 ^th percentile = _________
   3. 40 ^th percentile = _________
   4. 60 ^th percentile = _________
   5. 80 ^th percentile = _________
   6. highest value = _________
4. For each fifth, count the observed number of receipts and record it. Then determine the expected number of receipts and record that.

   Fifth	Observed	Expected
   1 st
   2 nd
   3 rd
   4 th
   5 th

5. H ₀ : ________
6. H _a : ________
7. What distribution should you use for a hypothesis test?
8. Why did you choose this distribution?
9. Calculate the test statistic.
10. Find the p -value.
11. Sketch a graph of the situation. Label and scale the x -axis. Shade the area corresponding to the p -value.

    

12. State your decision.
13. State your conclusion in a complete sentence.

Exponential distribution

1. Using $\frac{1}{\overline{x}}$ as the decay parameter, X ~ Exp (_________).
2. Calculate the following:
   1. lowest value = ________
   2. first quartile = ________
   3. 37 ^th percentile = ________
   4. median = ________
   5. 63 ^rd percentile = ________
   6. 3 ^rd quartile = ________
   7. highest value = ________
3. For each cell, count the observed number of receipts and record it. Then determine the expected number of receipts and record that.

   Cell	Observed	Expected
   1 st
   2 nd
   3 rd
   4 th
   5 th
   6 th

4. H ₀ : ________
5. H _a : ________
6. What distribution should you use for a hypothesis test?
7. Why did you choose this distribution?
8. Calculate the test statistic.
9. Find the p -value.
10. Sketch a graph of the situation. Label and scale the x -axis. Shade the area corresponding to the p -value.

    

11. State your decision.
12. State your conclusion in a complete sentence.

Discussion questions

1. Did your data fit either distribution? If so, which?
2. In general, do you think it’s likely that data could fit more than one distribution? In complete sentences, explain why or why not.