A 95% confidence interval for p, - P2 is calculated to be (0.1823, 0.3001). If the level of confidence is now decreased to 90%, what happens to the confidence interval? O a. Unknown b. It increases in size c. It decreases in size o d. It remains the same

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Q: If a 90% confidence interval for the mean is (75.3 to 80.9), we would reject H0 : = 70 in favor of…

A:

Q: Which of the following would result in the narrowest confidence interval? O A sample size of 30 with…

A: Given, The values of α and n.

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Q: in order to construct a 95% confidence interval for the population mean when the population…

A: It is an important fact in hypothesis testing problem .It is widely used in statistics .

Q: If a 95% confidence interval for the difference in two independent means is (-4.5 to 2.1), then the…

A: Point estimate= (-4.5+2.1/2) Point estimate=-2.4/2 Point estimate= -1.2

Q: 90% confidence

A: Given that  90% Confidence interval for mean = ( 75.3 to 80.9 ) Null hypothesis (Ho) : μ=70…

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A:

Q: (c) How large would the sample need to be so that a 95% confidence interval would have a margin of…

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A:

Q: music fans yields this 95% confidence interval estimate of the proportion of fans who love the music…

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Q: FIND t a n = 15 for the 98% confidence interval for the mean.

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Q: If n=12, x=38, and s=18, construct a confidence interval at a 80% confidence level. Assume the data…

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Q: I'm confused with the R code, I'm supposed to do a 90% confidence interval at t=0.01.

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Q: Which of the following would result in the narrowest confidence interval? O A sample size of 30 with…

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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.