Will your flight get you to your destination on time? To the right are a histogram and summary statistics for the percentage of delayed arrivals each month from 2001 thru 2006. Consider these data to be a representative sample of all months. There is no evidence of a time trend. (The correlation of Flights Delayed % with time is r=0.0160.016.) n= 72 x= 24.5556 s= 3.34564 a) Check the assumptions and conditions for inference about the mean. Select all that apply. A. All of the assumptions and conditions for inference about the mean are met. B. The 10% condition is not met. C. The randomization condition is not met and the sample is not suitably representative. D. The independence assumption is not met. E. The nearly normal condition is not met. b) Find a 99% confidence interval for the true percentage of flights that arrive late. ___ < (Delayed Flight)< ___ (Round to two decimal places as needed.) c) Interpret this interval for a traveler planning to fly. Choose the correct answer below. A. 99% of all months have delayed flights rates within the interval. B. A randomly selected month has a 99% chance of having a delayed flight percentage within the interval. C. We can be 99% confident that the interval contains the true mean monthly percentage of delayed flights. D. There is a 99% chance that the true mean monthly percentage of delayed flights is within the interval.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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Will your flight get you to your destination on time? To the right are a histogram and summary statistics for the percentage of delayed arrivals each month from 2001 thru 2006. Consider these data to be a representative sample of all months. There is no evidence of a time trend. (The n= 72 x= 24.5556 s= 3.34564 |
a) Check the assumptions and conditions for inference about the
A. All of the assumptions and conditions for inference about the mean are met.
B. The 10% condition is not met.
C. The randomization condition is not met and the sample is not suitably representative.
D. The independence assumption is not met.
E. The nearly normal condition is not met.
b) Find a 99% confidence interval for the true percentage of flights that arrive late.
___ < (Delayed Flight)< ___ (Round to two decimal places as needed.)
c) Interpret this interval for a traveler planning to fly. Choose the correct answer below.
A. 99% of all months have delayed flights rates within the interval.
B. A randomly selected month has a 99% chance of having a delayed flight percentage within the interval.
C. We can be 99% confident that the interval contains the true mean monthly percentage of delayed flights.
D. There is a 99% chance that the true mean monthly percentage of delayed flights is within the interval.
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