Interpret the 95% confidence interval in context. Make sure that your interpretation quantifies the effect that the type of word processor used (the explanatory variable, X) has on the typing speed (the response variable, Y).

A publishing company wanted to test whether typing speed differs when using word processor A or word processor B. A random sample of 25 typists was selected and the typing speeds (in words per minute) were recorded for each secretary when using word processor A and then when using word processor B. (Which word processor was used first was determined for each typist by a coin flip).Based on the collected data, a 95% confidence interval for μd, the mean difference (word processor A - word processor B) was found to be (2.5, 7.8).The appropriate hypotheses for testing whether the typing speeds differ when using word processor A or word processor B is the two-sided test:Based on this confidence interval for μd, what would be your conclusion (at the .05 significance level)? Explain.

how to solve this Confidence level = 94%

A sample of 30 high school basketball players was taken and whether or not they plan to play basketball in college was recorded. A 95% confidence interval for 𝑝 is (69%, 75%).a.) The individual object in the study was a randomly selected .This is computer-graded so use exact wording from the problem above. Remember an individual is ONE of something.b.) What was the variable information recorded for each object in the study?This is computer-graded so use exact wording from the problem above.The variable information was whether or not they c.) State the statistical interpretation of the confidence interval in the context of this problem. the of high school basketball players that plan to play basketball in college is between % and %d.) What is the symbol and value of the point estimate for 𝑝? = %e.) What is the margin of error for the given interval? %f.) Fill in the boxes below to show the relation on the number line between the numeric values of the point estimate and the interval estimate for 𝑝.<--------A--------------B--------------C-------->A = % B = % C = %

A student was asked to find a 95% confidence interval for widget width using data from a random sample of size n = 27. Which of the following is a correct interpretation of the interval 13.1 < μ < 25.9?Check all that are correct.There is a 95% chance that the mean of the population is between 13.1 and 25.9.With 95% confidence, the mean width of all widgets is between 13.1 and 25.9.With 95% confidence, the mean width of a randomly selected widget will be between 13.1 and 25.9.There is a 95% chance that the mean of a sample of 27 widgets will be between 13.1 and 25.9.The mean width of all widgets is between 13.1 and 25.9, 95% of the time. We know this is true because the mean of our sample is between 13.1 and 25.9.

A random sample of 160 households is selected to estimate the mean amount spent on electric service. A 95% confidence interval was determined from the sample results to be ($151, $216). Which of the following is the correct interpretation of this interval? There is a 95% chance that the mean amount spent on electric service is between $151 and $216. We are 95% confident that the mean amount spent on electric service among the 160 households is between $151 and $216. 95% of the households will have an electric bill between $151 and $216. We are 95% confident that the mean amount spent on electric service among all households is between $151 and $216