Assume that a sample is used to estimate a population proportion p. Find the 99.5% confidence interval for a sample of size 400 with 195 successes. Enter your answer as a tri-linear inequality using decimals (not percents) accurate to three decimal places. Find using the appropriate table ( )< p <( ) To avoid any rounding off error, please compute at 2 more digits before rounding off.

Assume that a sample is used to estimate a population proportion p. Find the 99.5% confidence interval for a sample of size 400 with 195 successes. Enter your answer as a tri-linear inequality using decimals (not percents) accurate to three decimal places. Find using the appropriate table ( )< p <( ) To avoid any rounding off error, please compute at 2 more digits before rounding off.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section: Chapter Questions

Problem 9SGR

See similar textbooks

Similar questions

Assume that a sample is used to estimate a population proportion p. Find the 99.5% confidence interval for a sample of size 331 with 43% successes. Enter your answer as a tri-linear inequality using decimals (not percents) accurate to three decimal places. using a TI84 with steps
Assume that a sample is used to estimate a population proportion p. Find the 99.5% confidence interval for a sample of size 287 with 28% successes. Enter your answer as a tri-linear inequality using decimals (not percents) accurate to three decimal places.
Suppose that 95% of the bags of certain fertilizer mix weigh between 49 and 53 pounds. Averages of three succesive bags were plotted, and 47.5% of these were observed to lie between 51 and X pounds. Estimate the value of X. State assumptions you make and say whether these assumptions are likely to be true for this example.
Question 2 Assume that a sample is used to estimate a population proportion p. Find the 95% confidence interval for a sample of size 301 with 23% successes. Enter your answer as a tri-linear inequality using decimals (not percents) accurate to three decimal places. > Next Question here to search W 80
Percent of SmokersThe data in NutritionStudy include information on nutrition and health habits of a sample of 315 people. One of the variables is Smoke, indicating whether a person smokes or not (yes or no). Use technology to test whether the data provide evidence that the proportion of smokers is different from 20% given that 43 identify themselves as smokers. Clearly state the null and alternative hypotheses. Your answer should be an expression composed of symbols: =,≠,<,>,μ,μ1,μ2,p,p1,p2,0.20,ρ,p^,p^1,p^2,r.
Assume that a sample is used to estimate a population proportion p. Find the 95% confidence interval for a sample of size 324 with 33% successes. Enter your answer as a tri-linear inequality using decimals (not percents) accurate to two decimal places.
Assume that a sample is used to estimate a population proportion p. Find the 99.9% confidence interval for a sample of size 313 with 38% successes. Enter your answer as a tri-linear inequality using decimals (not percents) accurate to three decimal places. < p <
#3 CI Mean The effectiveness of a blood-pressure drug is being investigated. An experimenter finds that, on average, the reduction in systolic blood pressure is 38.5 for a sample of size 22 and standard deviation of 8.4. Estimate how much the drug will lower a typical patient's systolic blood pressure (using an 80% confidence level). Assume the data is from a normally distributed population. Enter your answer as a tri-linear inequality accurate to three decimal places.______ < μμ < _____
The effectiveness of a blood-pressure drug is being investigated. An experimenter finds that, on average, the reduction in systolic blood pressure is 82.7 for a sample of size 29 and standard deviation 6.5. Estimate how much the drug will lower a typical patient's systolic blood pressure (using a 98% confidence level). Assume the data is from a normally distributed population. Enter your answer as a tri-linear inequality accurate to three decimal places.
A running coach wants to know if participating in weekly running clubs significantly improves the time to run a mile. The running coach collects mean mile times for 42 runners who participate in weekly running clubs with 54 runners who do not run in clubs. The running coach measures times in January and June of the same year. All times are in seconds, and the runners all started with mile times between 8 minutes (480 seconds) and 9 minutes (540 seconds). Here are the results: (table) The running coach investigates if runners in a running club improve times more than runners not in a club. The running coach conducts a hypothesis test for the difference in sample mean change (“Running Club” minus “Not in a Club”). Here are the results: T-value = 2.7027, p-value = 0.0043, DF = 74 95% Confidence Interval (0.5254, 3.4746) Which of the following can the running coach conclude? Runners who participate in running clubs have a statistically significant change in running times when compared…
A running coach wants to know if participating in weekly running clubs significantly improves the time to run a mile. The running coach collects mean mile times for 42 runners who participate in weekly running clubs with 54 runners who do not run in clubs. The running coach measures times in January and June of the same year. All times are in seconds, and the runners all started with mile times between 8 minutes (480 seconds) and 9 minutes (540 seconds). Here are the results: (table) The running coach conducts a hypothesis test and finds that running club members significantly improve their running times with a p-value < 0.05. The running coach wants to calculate how many seconds change to expect for runners who participate in running clubs. What is the best method for the running coach to use to determine how many seconds change to expect for runners who participate in running clubs? Use the difference in sample means (530 − 520) in a hypothesis test for a difference in two…
A running coach wants to know if participating in weekly running clubs significantly improves the time to run a mile. The running coach collects mean mile times for 42 runners who participate in weekly running clubs with 54 runners who do not run in clubs. The running coach measures times in January and June of the same year. All times are in seconds, and the runners all started with mile times between 8 minutes (480 seconds) and 9 minutes (540 seconds). Here are the results: (table) What is the best method for the running coach to use to determine if participating in weekly running clubs significantly improves the time to run a mile? Use the difference in sample means (530 – 520) in a hypothesis test for a difference in two population means. Use the difference in sample means (10 and 8) in a hypothesis test for a difference in two population means. Use the sample mean 10 in a hypothesis test for a population mean.