Refer to the accompanying data display that results from a sample of airport data speeds in Mbps. Complete parts (a) through (c) below. TInterval (13.046,22.15) x overbar equals 17.598 Sxequals 16.01712719 nequals 50 a. Express the confidence interval in the format that uses the "less than" symbol. Given that the original listed data use one decimal place, round the confidence interval limits accordingly. nothing Mbpsless than muless thannothing Mbps (Round to two decimal places as needed.) b. Identify the best point estimate of mu and the margin of error. The point estimate of mu is nothing Mbps. (Round to two decimal places as needed.) The margin of error is Eequals nothing Mbps. (Round to two decimal places as needed.) c. In constructing the confidence interval estimate of mu , why is it not necessary to confirm that the sample data appear to be from a population with a normal distribution? A. Because the sample is a random sample, the distribution of sample means can be treated as a normal distribution. B. Because the sample size of 50 is greater than 30, the distribution of sample means can be treated as a normal distribution. C. Because the population standard deviation is known, the normal distribution can be used to construct the confidence interval. D. Because the sample standard deviation is known, the normal distribution can be used to construct the confidence 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.
Refer to the accompanying data display that results from a sample of airport data speeds in Mbps. Complete parts (a) through (c) below.
|
TInterval
|
(13.046,22.15)
x overbar
|
equals
50
|
muless thannothing
is
nothing
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