Question

In: Statistics and Probability

Referring to this data: 2.58     2.51     4.04     6.43     1.58     4.32    ...

Referring to this data:

2.58     2.51     4.04     6.43     1.58     4.32     2.2       4.19    

4.79     6.2       1.52     1.38     3.87     4.54     5.12     5.15

5.5       5.92     4.56     2.46     6.9       1.47     2.11     2.32

6.75 5.84     8.8       7.4       4.72     3.62     2.46     8.75

Suppose we can only pass the quality test if there is evidence to suggest that the true mean ignition time is more than 0.04 seconds (or 4 hundredths of a second). please show work.

a. What is the null hypothesis for this test?

b. What is the alternative?

c. Conduct this hypothesis test at α=0.05 using the normal distribution. State all parts, including the critical value, test statistic, and conclusion in context of the problem.

d. Conduct this hypothesis test at α=0.05 using the t-distribution. State all parts, including the critical value, test statistic, and conclusion in context of the problem. Does your conclusion change?

Solutions

Expert Solution

Ho :   µ =   0.04                  
Ha :   µ >   0.04       (Right tail test)          
                          

Level of Significance ,    α =    0.05                  
population std dev ,    σ =    2.1040                  
Sample Size ,   n =    32                  
Sample Mean,    x̅ =   4.3750                  
                          
'   '   '                  
                          
Standard Error , SE = σ/√n =   2.1040   / √    32   =   0.3719      
Z-test statistic= (x̅ - µ )/SE = (   4.375   -   0.04   ) /    0.3719   =   11.66
                          
critical z value, z* =       1.6449   [Excel formula =NORMSINV(α/no. of tails) ]              
                                
Decision:   test stat > critical value, Reject null hypothesis

.....................

d)

sample std dev ,    s =    2.1040                  
Sample Size ,   n =    32                  
Sample Mean,    x̅ =   4.3750                  
                          
degree of freedom=   DF=n-1=   31                  
                          
Standard Error , SE = s/√n =   2.1040   / √    32   =   0.3719      
t-test statistic= (x̅ - µ )/SE = (   4.375   -   0.04   ) /    0.3719   =   11.66
                          
critical t value, t* =        1.6955   [Excel formula =t.inv(α/no. of tails,df) ]              
                                
Decision: test stat > critical value, Reject null hypothesis       

.............

no change in conclusion

.................

THANKS

revert back for doubt

please upvote

  


Related Solutions

Referring to this data: 2.58     2.51     4.04     6.43     1.58     4.32    ...
Referring to this data: 2.58     2.51     4.04     6.43     1.58     4.32     2.2       4.19     4.79     6.2       1.52     1.38     3.87     4.54     5.12     5.15 5.5       5.92     4.56     2.46     6.9       1.47     2.11     2.32 6.75 5.84     8.8       7.4       4.72     3.62     2.46     8.75 Suppose we can only pass the quality test if there is evidence to suggest that the...
price Date EMAAR MALLS ARMX 1-Jan-17 2.64 4.04 8-Jan-17 2.65 4.11 15-Jan-17 2.58 4.05 22-Jan-17 2.58...
price Date EMAAR MALLS ARMX 1-Jan-17 2.64 4.04 8-Jan-17 2.65 4.11 15-Jan-17 2.58 4.05 22-Jan-17 2.58 4.09 29-Jan-17 2.53 4.27 5-Feb-17 2.6 4.19 12-Feb-17 2.57 4.36 19-Feb-17 2.59 4.65 26-Feb-17 2.68 4.8 5-Mar-17 2.65 5.5 12-Mar-17 2.64 5.14 19-Mar-17 2.56 5 26-Mar-17 2.64 4.95 2-Apr-17 2.65 5.2 9-Apr-17 2.62 5.25 16-Apr-17 2.68 5.3 23-Apr-17 2.57 5.28 30-Apr-17 2.51 5.33 use the excel to calculate the average return for Emar and Aramex the standard deviation for Emar and Aramex THE CORRELATION...
price Date EMAAR MALLS ARMX 1-Jan-17 2.64 4.04 8-Jan-17 2.65 4.11 15-Jan-17 2.58 4.05 22-Jan-17 2.58...
price Date EMAAR MALLS ARMX 1-Jan-17 2.64 4.04 8-Jan-17 2.65 4.11 15-Jan-17 2.58 4.05 22-Jan-17 2.58 4.09 29-Jan-17 2.53 4.27 5-Feb-17 2.6 4.19 12-Feb-17 2.57 4.36 19-Feb-17 2.59 4.65 26-Feb-17 2.68 4.8 5-Mar-17 2.65 5.5 12-Mar-17 2.64 5.14 19-Mar-17 2.56 5 26-Mar-17 2.64 4.95 2-Apr-17 2.65 5.2 9-Apr-17 2.62 5.25 16-Apr-17 2.68 5.3 23-Apr-17 2.57 5.28 30-Apr-17 2.51 5.33 use the excel to calculate the average return for Emar and Aramex the standard deviation for Emar and Aramex THE CORRELATION...
Use these 30 different gas prices 2.70, 2.40, 2.58, 2.51, 2.54, 2.57, 2.50, 2.60, 2.65, 2.52,...
Use these 30 different gas prices 2.70, 2.40, 2.58, 2.51, 2.54, 2.57, 2.50, 2.60, 2.65, 2.52, 2.30, 2.55, 2.30, 2.59, 2.54, 2.68, 2.78, 2.75, 2.71, 2.61, 2.70, 2.56, 2.58, 2.60, 2.62, 2.69, 2.55, 2.40, 2.34, 2.56 Part 1 - Estimate the mean price of regular gasoline in the Dayton area by taking a sample. What is the population you will be studying? Think carefully about how you are going to get a good sample to calculate a sample mean and...
closing price Date EMAAR MALLS ARMX 1-Jan-17 2.64 4.04 8-Jan-17 2.65 4.11 15-Jan-17 2.58 4.05 22-Jan-17...
closing price Date EMAAR MALLS ARMX 1-Jan-17 2.64 4.04 8-Jan-17 2.65 4.11 15-Jan-17 2.58 4.05 22-Jan-17 2.58 4.09 29-Jan-17 2.53 4.27 5-Feb-17 2.6 4.19 12-Feb-17 2.57 4.36 19-Feb-17 2.59 4.65 26-Feb-17 2.68 4.8 5-Mar-17 2.65 5.5 12-Mar-17 2.64 5.14 19-Mar-17 2.56 5 26-Mar-17 2.64 4.95 2-Apr-17 2.65 5.2 9-Apr-17 2.62 5.25 16-Apr-17 2.68 5.3 23-Apr-17 2.57 5.28 30-Apr-17 2.51 5.33 use the excel to calculate the average return for Emar and Aramex the standard deviation for Emar and Aramex THE...
2.58 Companies of the world Refer to Exercise 1.118 (page 61), where we examined data collected...
2.58 Companies of the world Refer to Exercise 1.118 (page 61), where we examined data collected by the World Bank on the numbers of companies that are incorporated and listed on their country's stock exchange at the end of the year. In Exercise 2.10, you examined the relationship between these numbers for 2012 and 2002, and in Exercise 2.27, you found the correlation between these two variables. INCCOM Find the least-squares regression equation for predicting the 2012 numbers using the...
Referring to the following data of the Omani Company, that extracted from the balance sheet at...
Referring to the following data of the Omani Company, that extracted from the balance sheet at 31\12\2019, answer the following questions: -       (Note; Write all Equations regarding the questions) The company manager targets to reduce the current ratio in the year (2020) by 33% from the previous year (2019), this requiring to downsize the amount of the total current asset. To what level can the manager reduce the total current asset to achieve this target at (2020)? (Suppose the other...
Referring to the following data of the Omani Company, that extracted from the balance sheet at...
Referring to the following data of the Omani Company, that extracted from the balance sheet at 31\12\2019, answer the following questions: -          (Note; Write all Equations regarding the questions) The company manager targets to reduce the current ratio in the year (2020) by 33% from the previous year (2019), this requiring to downsize the amount of the total current asset. To what level can the manager reduce the total current asset to achieve this target at (2020)? (Suppose the other...
Referring to the following data of the Omani Company, that extracted from the balance sheet at...
Referring to the following data of the Omani Company, that extracted from the balance sheet at 31\12\2019, answer the following questions: -       (Note; Write all Equations regarding the questions) The company manager targets to reduce the current ratio in the year (2020) by 33% from the previous year (2019), this requiring to downsize the amount of the total current asset. To what level can the manager reduce the total current asset to achieve this target at (2020)? (Suppose the other...
Refer to the Buena School District bus data ( 2012). Select the variable referring to the...
Refer to the Buena School District bus data ( 2012). Select the variable referring to the number ofmiles traveled last month, and then organize these data into a frequency distribution. a. What is a typical amount of miles traveled? What is the range? b. Comment on the shape of the distribution. Are there any outliers in terms of milesdriven? c. Draw a cumulative frequency distribution. Forty percent of the buses were driven fewerthan how many miles? How many buses were...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT