I surveyed 15 people on how many hours a week they spend at the gym. The results I received were 0, 0, 14, 7, 0, 0, 8, 3, 4, 3, 6, 2, 6, 5, and 5. Calculate a 95% interval for the population mean.
I surveyed 15 people on how many hours a week they spend at the gym. The...
76 full time workers were surveyed on how many hours they spend watching television during the week. The mean was 3.9 hours with a standard deviation of 0.6 hours. Find a 95% confidence interval for the mean number of hours full time workers spend watching TV.
In a survey of 28 teenagers who were asked how many hours per week they spend watching T.V., the sample mean was 13 hours and the population standard deviation is 5.8 hours. Find a 99% Confidence Interval for the population mean number of hours teenagers watch T.V. Write the interval below. Write a sentence interpreting this. (Round answer to 2 decimal places)
A survey asked people, "How many hours do you spend watching reality TV shows per week?". From a random sample of 1200 people, sample mean was 9.5 and the (sample) standard deviation was 3.1 hours. Construct a 90% confidence interval for population mean A (6.4, 12.6) B. Cannot compute based on the given information. C-19.32, 9.68) D.(4.4, 15.6) E. (9.35, 9.65) QUESTION 20 (Continue from the previous question) what is the minimum required sample size to make sure that the...
Calculate the sensible heat gain due to the internal heat sources and assumptions below :– N# of people is 6 – People activity gym– People spend 8 hours in the room– N# of lights 14– Type of light fluorescent lights– Light wattage 30 W/unit– The lights are turned on at 7 am and off at 5 pm– Zone C
The University College is interested in the average number of hours per week that freshmen spend going to parties. They took a random sample of 300 freshmen and calculated a mean of 6 hours a week going to parties and a 95% confidence interval for the population mean to be 4 to 8 hours a week. Based on this information, what was their standard error of the mean?
A small group of students was asked, "How many hours do you spend studying in a typical week?" The results were: 10, 10, 25, 8, 5, 5. What is the count A small group of students was asked, "How many hours do you spend studying in a typical week?" The results were: 10, 10, 25, 8, 5, 5. What is the maximum? A small group of students was asked, "How many hours do you spend studying in a typical week?"...
Solve this confidence interval problem-- Since we are currently conducting a study on millennials and their TV time during the week, I decided to estimate the population mean number of hours that millennials watch more than 5 hours a day and if so, how many hours did they spend watching TV. According to the survey, I pulled 10 individuals randomly and these were the results— 6, 10, 3, 0, 4, 8, 2, 1, 1, 8 Calculate a confidence level of...
A researcher wants to estimate how many hours per week students who love off campus spend driving to campus. A simple random sample of 84 students had a mean of 5.0 hours of driving. Construct and interpret a 90% confidence interval for the mean number of hours a student drives per week. Assume the population standard deviation is known to be 0.3 hours per week.
Question 1. Thirty graduate students were asked how many credit hours they were taking in the current quarter. Download the available data: Calculate the mean, median, standard deviation, variance, and range for this sample using Excel. Write a sentence explaining what each measure means. What is the standard error of the mean based on the data? What would be the best point estimate for the population credit hours? (“Population” refers to all graduate students’ credit hours in the universe.) What...
QUESTION 5 In order to determine how many hours per week freshmen college students watch television, a random sample of 256 students was selected. It was determined that the students in the sample spent an average of 14 hours with a standard deviation of 3.6 hours watching TV per week. a. Provide a 95% confidence interval estimate for the average number of hours that all college freshmen spend watching TV per week. Assume that a sample of 66 students was...