Reference no: EM131127220
Problem 1
1 The cost of 14 models of digitals cameras at a camera specialty store during 2014 was as follows:
340 450 450 280 220 340 290 370 400 310 340 430 270 380
2. Compute the standard error of the mean and Z scores.
3. Determine whether or not there are outliers? Explain.
4. Determine whether or not the data are skewed? If so, how?
5. Based on the previous results what conclusions can you reach concerning the price of digital cameras at a camera specialty store during 2014.
6. Construct a 90%, 95%, 99% confidence interval for the population mean cost of digitals cameras.
7. Interpret the meaning of each interval.
8. What assumption do you need to make about the population of interest to construct the confidence intervals?
Problem 2
Consider the sample data for plants A, B, C & D of the above company, which are tabulated in table 1. Test whether the four means are equal at the 5% level of significance.
Perform a test that will compare all 4 means at once. We are not interested in pair-wise comparisons at this stage. Please show all the steps in your calculations.
Table 1:
A |
B |
C |
D |
333 |
328 |
320 |
333 |
332 |
329 |
321 |
321 |
320 |
323 |
322 |
329 |
326 |
327 |
325 |
330 |
328 |
330 |
326 |
328 |
325 |
331 |
328 |
325 |
323 |
332 |
329 |
333 |
321 |
320 |
330 |
331 |
334 |
324 |
331 |
327 |
322 |
323 |
332 |
|
320 |
334 |
|
|
329 |
|
|
|
330 |
|
|
|
328 |
|
|
|
331 |
|
|
|
330 |
|
|
|
Read the article (p. 221 - 225)
<< Performance and duration differences between online and paper-pencil tests >>
and answer the questions below.
Part A.
1. Develop a 95% confidence interval using data from this study.
2. Perform a hypothesis testing using data from this study. (show all the the appropriate steps).
3. Suggest another statistical technique(s) for the purpose of this study. Explain.
Part B.
For this study briefly describe how the researcher draw conclusions from a sample about a population. Try to be as analytic as possible and use the comments bellow.
1. Determine (or define) the independent variable(s).
2. Determine (or define) the dependent variable(s).
3. Determine (or define) qualitative and quantitative variable(s).
4. Determine (or define) the sample and the population.
5. Describe the statistical method(s) being used and define inferential statistics. Interpret the meaning of p-value.
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