Sample Evaluation. The National Football League (NFL) is interested in determiningwhether the average age of its fan base is less than 35 years of age to identify this demographic for potential advertisers. Following are the results for three different stadiums forfans attending an NFL game on a given weekend. In all cases, assume a sampling risk of5 percent.   Sample 1 Sample 2 Sample 3 Precision 5 3 8 Sample estimate 26 34 40 Required:a. Construct a precision interval for each of these samples.b. Given the sampling risk of 5 percent, provide a single-sentence summary of the results tothe NFL for each sample.c. What is your basic conclusion regarding each sample?d. If the NFL increased its acceptable level of sampling risk, how would that affect theprecision interval and your conclusions? If it decreased the acceptable level of samplingrisk, how would that affect the precision interval and your conclusions? Why?

Q: It has been reported that the average visitor from Japan spent $1953 during a trip to the United…

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A: Given  p=0.40, x=75, n=200

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A:

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A: The given table is,

Q: FIND THE MEAN OF THE SET OF DATA BELOW AND CONSTRUCT A SAMPLING DISTRIBUTION BY SELECTING 3 SAMPLES…

A: Mean of the set of Data: Mean=Sum of the valuestotal=7+10+14+17+205=685=13.6

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A:

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A:

Q: Calculate the sample size from the following information:  E = 0.5, a= 5, c = 0.95

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A:

Q: Calculate the mode of the following sample data set: 8 10 7 14 53 22 5 5 5 22

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A:

Q: 4. Suppose that 15% of all students at your school ride a bicycle to class each day. Suppose further…

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A: The sample size is 904.

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A:

Q: The XYZ Corporation is interested in possible differences in days worked by salaried employees in…

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Q: Given the following frequaney table, the sample mean () is 1 2 3 12 13 15 10 4.

A:

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A:

Q: re interested in knowing the proportion of Texas A&M students who have their own subscription to…

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A:

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.