A manufacturer tests a certain number of headsets that are produced each day. There is a 2.5% chance of finding a defective headset. If 280 units of that model are tested, the manufacturer would expect to find approximately headsets without any defects.

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A poll was conducted on a representative sample of 600 adults living in the United States in order to investigate the decline in cable and satellite TV subscriptions. For this​ sample, 150 adults revealed that they are​ "cord cutters,"​ (that is, they canceled their​ cable/satellite TV service and now only use a video streaming​ service). You want to estimate​ p, the true proportion of all US adults who are​ "cord cutters." Complete parts a through e.   d. Give a practical interpretation of the confidence interval from part c. ​(Type integers or decimals rounded to three decimal places as needed. Use ascending​ order.)   A. The probability that the true proportion of all US adults who are​ "cord cutters" is enter your response here lies between enter your response here and enter your response here.   B. We can be enter your response here​% confident that the true proportion of all US adults who are​ "cord cutters" lies between enter your response here and enter your…

Please answer question 4 and please show me how to do it in excel.

A recent study evaluated how addicted teenagers become to nicotine once they start smoking. The response variable was the number of yes answers on a questionnaire called the Hooked on Nicotine Checklist (HONC). Of teenagers who had tried tobacco, the mean HONC score was 3.8 (s = 4.4) for the 141 females and 2.4 (s = 3.5) for the 178 males. Complete parts a through c below. a. Find the standard error comparing the sample means. Interpret. The standard error is se= 0.4540. (Round to four decimal places as needed.) What does the standard error indicate? ... OA. The standard error is the standard deviation of the sample for this study. OCT 28 OB. The standard error is the difference in standard deviations for the two populations. OC. The standard error is the standard deviation of the difference between x₁-x₂. D. The standard error describes the spread of the sampling distribution of x₁-x₂. b. Find the test statistic and P-value for Ho: H₁ H₂ and Ha: H₁ H₂. Interpret, and explain what (if…

Please help me with the following sections: d, e, f, g, h and i  Thank you!

A researcher wants to know whether children with ADHD tend to watch more TV than children who are not diagnosed with the disorder. To examine this, a researcher obtains a sample of n = 36 children (ages 8 to 12 years) who have been diagnosed with ADHD. Each child is asked to keep a journal recording how much time each day is spent watching TV. The average for the sample is M = 4.9 hours/day. Assume that the average TV-watching time for the general population of 8-to-12-year-old children is µ = 4.1 hours/day with σ = 1.8. Is ADHD in children associated with an increased amount of TV-watching?

The authors of a paper randomly selected two samples of patients admitted to the hospital after suffering a stroke. One sample was selected from patients who received biofeedback weight training for 8 weeks, and the other sample was selected from patients who did not receive this training. At the end of 8 weeks, the time it took (in seconds) to stand from a sitting position and then to sit down again (called sit-stand-sit time) was measured for the people in each sample. Data consistent with summary quantities given in the paper are given below. For purposes of this exercise, you can assume that the samples are representative of the population of stroke patients who receive the biofeedback training and the population of stroke patients who do not receive this training. Biofeedback Group 2.1 2.8 4.5 2.3 2.9 4.3 3.4 4.2 3.4 3.7 3.0 3.7 3.7 2.5 3.3 No Biofeedback Group 5.2 4.8 4.0 4.3 4.8 4.4 4.3 5.2 3.5 4.3 5.2 4.5 4.1 3.5 4.0   Conduct a test of hypothesis to test whether…

A car company conducts crash tests of its new airbag system to evaluate its safety. One hundred cars are run into a solid concrete barrier at a speed of 35 miles per hour, and the chest compression of a crash test dummy is measured each time. They hope that the average compression if the test were repeated over and over (which we could think of as the population) would be about 2 inches, corresponding to an injury that would be painful but not fatal. In the hundred tests, the average chest compression in the crash test dummies was 2.1 inches, with an SD of 0.2 inches.(a) State the null and alternative hypotheses in terms of the problem.(b) What kind of box model will we use for this problem? A 0-1 box, or a box with other values on the tickets?(c) State the null and alternative hypotheses in terms of the box model (d) Compute the z test statistic and the p-value, using the sample average as your statistic as you compute z (e) What do you conclude?

The world bank reports that one. 7% of the US population lives unless than two dollars per day. A policy maker claims that this number is misleading because of variations from state to state and rural to urban. To investigate that she takes a random sample of 100 households in Atlanta to compare with the national average and finds at two. One percent of the Atlanta population live on less than two dollars per day. Select the Noel an eternity of hypothesis to test weather Atlanta differ significantly from the national percentage.