Question

Step 1. Set up hypotheses and determine level of significance Ho: Ha: Should the alternative hypothesis be upper-tailed, lower-tailed, or two-tailed? Step 2. Select the appropriate test statistic Insert Specific Formula (Consider sample size to determine Z-score or T-distribution) Step 3. Set up decision rule Do NOT use your level of significance as a part of your decision rule. Be sure to use only the critical values found in your appendices. Critical values are based upon the type of test used, your sample size or degrees of freedom, your alternative hypothesis (upper-tailed, lower-tailed, or two-tailed), and your level of significance. When using a two-tailed test, be sure to include both positive and negative values of the critical value. Be sure to include the equal sign. For example, "Reject Ho if Z≥ 1.960." Step 4. Compute the test statistic. Please show all computations. If you do not show your computations, you will not receive credit, even if your test statistic is correct. Step 5. Conclusion There should be two parts to your conclusion-1) Your decision to either reject or fail to reject the null hypothesis; and 2) You conclusion. Please state both portions. If we reject the null hypothesis for an upper-tailed test, we can simply say "Reject the null hypothesis because XXX value is greater than YYY value..." Your conclusion statement should also reflect the null and alternative hypotheses. For example, "We have statistically significant evidence to indicate a difference in ... PROBLEM II. Researchers at the American Optometric Association are concerned about Computer Vision Syndrome (CVS) among young persons. CVS is not one specific eye problem, but rather encompasses a whole range of eyestrain and pain experienced by computer users. To address their concerns, 20 children are selected to participate in a research project - half of whom spent fewer than five hours each day in front of a computer, and half of whom spend five or more hours in front of a computer. A light photometer is used to measure symptoms of CVS. Given the data below, is there statistical evidence of a difference in the mean number of symptoms of Computer Vison Syndrome based on the number of hours spent in front of a computer? Test this hypothesis at a significance of .05. STD DEV OF SYMPTOMS MEAN NUMBER OF SYMPTOMS 5.2 4.8 1.3 0.9 ≥5 HRS OF COMPUTER TIME ≤5 HRS OF COMPUTER TIME 1. Set Up Hypothesis and Determine Level of Significance 2. Select the Appropriate Test Statistic 3. Set Up the Decision Rule 4. Compute the Test Statistic 5. Decision and Conclusion

Name: use the left pic to help solve the problem and round to the second decimal plitn for all parts in the problem step 1 set up hypotheses and determine level of significance ho ha should the al 08805
Uploaded: 2023-09-06T15:51:18-08:00
Duration: 6 min 8 s
Channel: Sheryl Ezze
Description: use the left pic to help solve the problem and round to the second decimal plitn for all parts in the problem step 1 set up hypotheses and determine level of significance ho ha should the al 08805

Step 1.
Set up hypotheses and determine level of significance
Ho:
Ha: Should the alternative hypothesis be upper-tailed, lower-tailed, or two-tailed?
Step 2.
Select the appropriate test statistic
Insert Specific Formula (Consider sample size to determine Z-score or T-distribution)
Step 3.
Set up decision rule
Do NOT use your level of significance as a part of your decision rule. Be sure to use
only the critical values found in your appendices. Critical values are based upon the type
of test used, your sample size or degrees of freedom, your alternative hypothesis
(upper-tailed, lower-tailed, or two-tailed), and your level of significance.
When using a two-tailed test, be sure to include both positive and negative values of the
critical value.
Be sure to include the equal sign. For example, "Reject Ho if Z≥ 1.960."
Step 4.
Compute the test statistic.
Please show all computations. If you do not show your computations, you will not
receive credit, even if your test statistic is correct.
Step 5.
Conclusion
There should be two parts to your conclusion-1) Your decision to either reject or fail to
reject the null hypothesis; and 2) You conclusion. Please state both portions. If we reject
the null hypothesis for an upper-tailed test, we can simply say "Reject the null hypothesis
because XXX value is greater than YYY value..."
Your conclusion statement should also reflect the null and alternative hypotheses. For
example, "We have statistically significant evidence to indicate a difference in ...
PROBLEM II. Researchers at the American Optometric Association are concerned about Computer
Vision Syndrome (CVS) among young persons. CVS is not one specific eye problem, but rather
encompasses a whole range of eyestrain and pain experienced by computer users. To address their
concerns, 20 children are selected to participate in a research project - half of whom spent fewer than five
hours each day in front of a computer, and half of whom spend five or more hours in front of a computer.
A light photometer is used to measure symptoms of CVS. Given the data below, is there statistical
evidence of a difference in the mean number of symptoms of Computer Vison Syndrome based on the
number of hours spent in front of a computer? Test this hypothesis at a significance of .05.
STD DEV OF
SYMPTOMS
MEAN NUMBER OF
SYMPTOMS
5.2
4.8
1.3
0.9
≥5 HRS OF COMPUTER TIME
≤5 HRS OF COMPUTER TIME
1. Set Up Hypothesis and Determine Level of Significance
2. Select the Appropriate Test Statistic
3. Set Up the Decision Rule
4. Compute the Test Statistic
5. Decision and Conclusion

use the left pic to help solve the problem and round to the second decimal plitn for all parts in the problem step 1 set up hypotheses and determine level of significance ho ha should the al 08805

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