Question

In: Statistics and Probability

The following data show the number of hours per day 12 adults spent in front of...

The following data show the number of hours per day 12 adults spent in front of screens watching​ television-related content. Complete parts a and b below. 1.2, 4.6 ,4.3 ,5.1 ,7.9 ,7.1 ,5.7 ,3.5 5.4, 1.2 ,2.5 and 8.4 a. Construct a 99​% confidence interval to estimate the average number of hours per day adults spend in front of screens watching​ television-related content. The 99​% confidence interval to estimate the average number of hours per day adults spend in front of screens watching​ television-related content is from nothing hours to nothing hours.

Solutions

Expert Solution

orchestra answered 2 years ago
Next > < Previous

Related Solutions

The following data show the number of hours per day 12 adults spent in front of...
The following data show the number of hours per day 12 adults spent in front of screens watching television – related content. Complete parts a) and b) below. 1.3 5.1 4.2 5.4 7.7 6.8 5.6 2.7 5.2 1.8 2.2 8.8 Construct a 99% confidence interval to estimate the average number of hours per day adults spend in front of screens watching television – related content. a) The 99% confidence interval to estimate the average number of hours per day adults...
The following data show the number of hours per day 12 adults spent in front of...
The following data show the number of hours per day 12 adults spent in front of screens watching​ television-related content. 1.7, 4.6, 4.1, 4.7, 7.1, 6.6, 5.9, 2.6, 5.3, 1.5, 2.3, 8.6 Construct a 95​% confidence interval to estimate the average number of hours per day adults spend in front of screens watching​ television-related content. Estimate the average number of hours per day adults spend in front of screens watching​ television-related content from min to max hours
The following data show the number of hours per day 12 adults spent in front of...
The following data show the number of hours per day 12 adults spent in front of screens watching​ television-related content. Complete parts a and b below. 1.31.3 4.84.8 4.34.3 4.94.9 7.67.6 6.96.9 5.45.4 3.33.3 5.15.1 1.11.1 2.12.1 8.18.1 a.a. Construct a 95​% confidence interval to estimate the average number of hours per day adults spend in front of screens watching​television-related content. The 95% confidence interval to estimate the average number of hours per day adults spend in front of screens...
Consider the following data of the number of hours 12 students spent online during the weekend...
Consider the following data of the number of hours 12 students spent online during the weekend and the scores of each student who took a test the followingMonday. Hrs spent online(x): 0 1,2,3,3,5,5,5,6,7,7,10. Test scores(y): 96,85,82,74,95,68,76,84,58,65,75,50.a. Find the sample linear correlation coefficient and interpret it. b. Is the population correlation coefficient significant? [ use ? = 0.05]. c. Find the equation of the regression line. What is the slope of the line? Interpret this value in the context? d. What...
6. Consider the following data of the number of hours 12 students spent online during the...
6. Consider the following data of the number of hours 12 students spent online during the weekend and the scores of each student who took a test the followingMonday. Hrs spent online(x) 0 1 2 3 3 5 5 5 6 7 7 10 Test scores(y) 96 85 82 74 95 68 76 84 58 65 75 50 a. Find the sample linear correlation coefficient and interpret it. b. Is the population correlation coefficient significant? [ use α= 0.05] c....
The number of hours spent per week on household chores by all adults has a mean...
The number of hours spent per week on household chores by all adults has a mean of 28.6 hours and a standard deviation of 8.8 hours. The probability, rounded to four decimal places, that the mean number of hours spent per week on household chores by a sample of 64 adults will be more than 26.75 is:
The following data set is from a survey of the weekly number of hours spent exercising...
The following data set is from a survey of the weekly number of hours spent exercising for 40 high school students. 8 10 14 3 11 9 11 5 11 17 13 11 9 13 6 8 10 15 3 10 13 12 15 13 12 5 1 7 5 7 9 5 5 10 9 12 2 7 6 8 a) Put in order the data set and determine the mean, median and mode. b) Calculate the bin width...
QUESTION 1. The data for number of sleeping hours per day were recorded as below A...
QUESTION 1. The data for number of sleeping hours per day were recorded as below A sample of 15 males has a sample mean of 7.3 hours and the population standard deviation is assumed to be 1.26 hours. A sample of 18 females has a sample mean of 7.8 hours and the population standard deviation is assumed to be 1.51 hours. a) Use the P-VALUE METHOD with a 0.08 significance level to test the claim that the mean number of...
IV. The following table gives the frequency distribution of the number of hours spent per week...
IV. The following table gives the frequency distribution of the number of hours spent per week on activities that involve sports and/or exercise by a sample of 400 Americans. The numbers are consistent with the summary results from the Bureau of Labor Statistics' American Time Use Survey (www.bls.gov). Hours per Week Number of People 0 to less than 3.5 34 3.5 to less than 7.0 92 7.0 to less than 10.5 55 10.5 to less than 14.0 83 14.0 to...
The table below gives the number of hours spent unsupervised each day as well as the...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would...
ADVERTISEMENT
Subjects
ADVERTISEMENT
Latest Questions
ADVERTISEMENT