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Unformatted text preview: SYM 506  Applied Business Probability & Statistics Gerald McGill Grand Canyon University Module Five  Problem Set Week 5 P10  02
Amount Hypothesis Test (OneSample) Data Set #1 Sample Size Err:508 Sample Mean Err:508 Err:508 Sample Std Dev Based on the pvalue of the sample, there is convincing evidence in support of the alternativ of the sample is less than 0.10, this presents compelling evidence that on average each box 500 Hypothesized Mean > 500 Alternative Hypothesis
Standard Error Err:508 of Mean Err:508 Degrees of Freedom tTest Statistic Err:508 Err:508 pValue Null Hypoth. at Err:508 10% Significance
Null Hypoth. at Err:508 5% Significance Null Hypoth. at Err:508 1% Significance P10  4A
Height Hypothesis Test (OneSample) Data Set #1 Height Conf. Intervals (OneSample) Data Set #1 Err:508 Err:508 Err:508 Sample Std Dev 68 Hypothesized Mean <68 Alternative Hypothesis Standard Error Err:508 of Mean Err:508 Degrees of Freedom tTest Statistic Err:508 Err:508 pValue Don't Significance Null Hypoth. at 10% Reject Don't Reject Null Hypoth. at 5% Significance Don't Reject Null Hypoth. at 1% Significance
Sample Size Sample Mean Err:508 Err:508 Err:508 Sample Std Dev 99.0% Confidence Level (Mean) Err:508 Degrees of Freedom Lower Limit #ADDIN? Upper Limit #ADDIN?
Sample Size Sample Mean On the basis of the available financial information, we cann Our pvalue of 0.2 is greater than the 1% significance leve our confidence interval tested for 99% confidence, our upp further indication that the null hypothesis cannot be adaqu P10  5 Based on the circumstancial evidence and the surrounding changes to our original hypothesis in which the null hypothesis was to create a sample in which the null hypothesis is rejected at the 0.05 significance level simply by changing the sample size of versus statistical significance (10.2.8). In short, what this means is that with a large enough sample to pool data from, research significant data from the materials. As an example, I pasted a supplement on the next sheet in which I proved this argument by is that researches can conduct the same null versus alternative hypothesis, receive the same mean and standard deviation wi P10  6A
Bill Hypothesis Test (OneSample) Data Set #1 Err:508 Err:508 Err:508 Sample Std Dev 100 Hypothesized Mean <> 500 Alternative Hypothesis Standard Error Err:508 of Mean
Sample Size Sample Mean Based on the study, the pvalue indicates that there has not been enough data established f significance level. As the book points out on page 504, any pvalues higher than 0.1 significa In relation to the realworld situation which we are discussing, this means that there is no dis in groceries relative to the national average of $100. Err:508 Degrees of Freedom
tTest Statistic Err:508 Err:508 pValue Don't Significance Null Hypoth. at 10% Reject Don't Reject Null Hypoth. at 5% Significance Don't Reject Null Hypoth. at 1% Significance P10  7A
Thickness Hypothesis Test (OneSample) Data Set #1 Sample Size Err:508 Sample Mean Err:508 Err:508 Sample Std Dev Thickness Conf. Intervals (OneSample) Data Set #1 Sample Size Err:508 Sample Mean Err:508 Err:508 Sample Std Dev Based on the statistics, we should not buy our metal from The reason for this is simple; while we cannot prove to the aluminum metal is paramount to the construction of a succ The data at hand would be enough for most respectable a producer for their aircraft, particularly when producing a pr 0.05 Hypothesized Mean <>.05 Alternative Hypothesis Standard Error Err:508 of Mean Err:508 Degrees of Freedom tTest Statistic Err:508 Err:508 pValue Err:508 Null Hypoth. at 10% Significance Err:508 Null Hypoth. at 5% Significance Don't Reject Null Hypoth. at 1% Significance 99.0% Confidence Level (Mean) Err:508 Degrees of Freedom Lower Limit #ADDIN?
Upper Limit #ADDIN? n support of the alternative hypothesis. As we have learned in class, when the pvalue that on average each box will contain at least 500 grams of detergent. ancial information, we cannot reject the null hypothesis at the 99% confidence level. n the 1% significance level, as well as the 5% and 10% levels. On the basis of r 99% confidence, our upper and lower limits surround our sample mean, which is pothesis cannot be adaquetely disproven. ch the null hypothesis was not rejected at the 0.05 significance level, it is possible anging the sample size of the equation. This is referred to in the book as practical o pool data from, researchers can take practically insignificant data and decipher statistically I proved this argument by conducting a random # test using numbers from 15. What I discovered and standard deviation with a larger sample size. enough data established from our sample to disprove the null hypothesis at the 1%, 5%, or 10% es higher than 0.1 significance levels exemplify weak to no evidence in support of the alternative hypothesis. means that there is no discernable difference on average from what families of four in our sample town consume ld not buy our metal from the given airplane parts manufacturer except at the 1% significance level. ile we cannot prove to the 1% significance level that accomplishing the precise desired thickness of the construction of a successful aircraft, we can say that the data shows strong support for that argument. gh for most respectable aircraft manufacturers to seek out a better, more accurate aluminum metal larly when producing a product in which the lives of passengers are at stake. Random # Test (1) 1 2 3 3 4 5 2 3 4 1 3 3 2 5 1 4 2 3 5 1 1 2 4 3 5 2 2 1 1 3 2 3 5 2 4 1 3 3 1 2 Random # Test (2) 1 2 3 3 4 5 2 3 4 1 3 3 2 5 1 4 2 3 5 1 1 2 4 3 5 2 2 1 1 3 2 3 5 2 4 1 3 3 1 2 1 2 3 3 4 5 2 3 4 1 3 3 Random # Test (1) Random # Test (2) Hypothesis Test (OneSample) Set #2 Data Set #1 Data Sample Size #ADDIN? #ADDIN? Sample Mean #ADDIN? #ADDIN? Sample Std Dev #ADDIN? #ADDIN? 3 3 Hypothesized Mean <3 <3 Alternative Hypothesis #ADDIN? #ADDIN? Standard Error of Mean #ADDIN? #ADDIN? Degrees of Freedom #ADDIN? #ADDIN? tTest Statistic #ADDIN? #ADDIN? pValue Reject Don't Null Hypoth. at 10% SignificanceReject Reject Don't Null Hypoth. at 5% Significance Reject Reject Don't Null Hypoth. at 1% Significance Reject 2 5 1 4 2 3 5 1 1 2 4 3 5 2 2 1 1 3 2 3 5 2 4 1 3 3 1 2 ...
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This note was uploaded on 07/06/2011 for the course SYM 506 taught by Professor Professorwhite during the Spring '11 term at Grand Canyon.
 Spring '11
 ProfessorWhite

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