QUESTION 3: For this question we will analyze data from the 2014 American Time Use Survey. The su...
#4 please QUESTION 3 For this question we will analyze data from the most detailed, up-to-date portrait of ho poiple in the United States spend their time- it American Time Use Survey. The survey offerns also offers some insight into how Amexica ns veicise and eat. I have included all the information you need to answer this question without yoar nooding to access the data yourself (although it is publicly available). The data are drawn from a sample of n-...
from prior experience we know time spent studying for an exam is approximately normally distributed.You survey HC students and ask the participating students how many times do they spend studying for the exam. From your sample of 36 HC students ,you obtained the mean time spent to study for an exam was 160 minutes,with standard deviation of 40 mins. 2)construct a 95% confidence interval for the mean study time (in minutes) of HC students.
all answers please 3. The teachers union is concerned about the amount of time teachers spend each week doing schoolwork at home. A simple random sample of 56 teachers had a mean of 8.0 hours per week working at home after school. Assume that the population standard deviation is 1.5 hours per week. a) Construct a 95% confidence interval estimate for the mean number of hours per week a teacher spends working at home. b) Does the confidence interval support...
1. The patient recovery time from a particular surgical procedure is normally distributed with a mean of 5.6 days and a standard deviation of 1.8 days. Q: What is the probability of spending more than 2 days in recovery? 2. The patient recovery time from a particular surgical procedure is normally distributed with a mean of 5.5 days and a standard deviation of 2.2 days. Q: What is the 70th percentile for recovery times? 3. A telephone poll of 1000...
(a) The following is taken from the output generated by an Excel analysis of expenditure data using multiple regression: Regression Statistics Multiple R 0.9280 0.8611 0.8365 Adjusted R2 Standard Error.1488 Observations21 ANOVA Source Regression Residual Total df MS Significance of F 1.66E-07 3 308.68 35.117 102.893 2.930 17 20 358.49 49.81 Coefficient Standard Error 6.2000 0.7260 0.7260 0.9500 t Stat 3.7097 0.2755 -2.0523 0.5158 23.00 0.20 Intercept X2 X3 0.49 (i) Find the limits of the 95 percent confidence interval...
Gallup recently conducted a survey about the proportion of Americans who use e-cigarettes (vape). The survey data was collected via random-digit-dial telephone interviews conducted July 1-12, 2019 with a random sample of 1525 adults living in all 50 U.S. states with a minimum quota of 70% cellphone respondents and 30% landline respondents, with additional minimum quotas by time zone within region. The following table summarizes their results for men and women: Men Women 92 31 Vape Do Not Vape Total...
Question 21 3 pts Large Sample Proportion Problem. A survey was conducted on high school marijuana use. Of the 2266 high school students surveyed, 970 admitted to smoking marijuana at least once. A study done 10 years earlier estimated that 45% of the students had tried marijuana. We want to conduct a hypothesis test to see if the true proportion of high school students who tried marijuana is now less than 45%. Use alpha = .01. What is the critical...
use data from q7 to answer 11 QUESTION 7 3 points Problem 7 . an environmentalist estimates that mean waste recycled by adults in the United States is more than 1 pound per person per day. Y est this claim. You find that the mean waste recycled per person per day for a random sample of 12 ad in the United State is 1.46 pounds and the standard deviation 0.28 pound, AT 0.05. please do a hypothesis test based on...
2. Use the data in hpricel.wfl uploaded on Moodle for this exercise. We assume that all assump- tions of the Classical Linear Model are satisfied for the model used in this question. (a) Estimate the model and report the results in the usual form, including the standard error of the regression. Obtain the predicted price when we plug in lotsize - 10, 000, sqrft - 2,300, and bdrms- 4; round this price to the nearest dollar. (b) Run a regression...