13. Yes, we can assume that if a large number of professional football teams are sampled, the samples could have an average number of wins per season equal to 8 because the 90% confidence interval (7,65, 9.11) contains the value of 8 and hence the 95% CI will also will contain the value of 8 (as 95% CI will be wider)
14. We can't assume that if a large number of parking meters are sampled, 90% of the samples would contain a mean daily income of 3.25 as the 95% CI (3.39, 6.01) does not contain the value of 3.25 (90% CI will be smaller and it definitely won't have the value of 3.25)
second bullet point of 11 and 12 mead 13. The number of wins in a season...
problems 4, 5, 6, 11 and 13 If the population standard deviation was doubled to 10.4 and the level of confidence remained at 90%, what would be the new margin of error and confidence interval Margin of error, E. Confidence interval: 20.11<x<34.31 O Did the confidence interval increase or decrease and why? increase 4. Definition of Confidence Intervals (Section 6.1) Circle your answer, True of False. • A 99% confidence interval means that there is a 99% probability that the...
The following table shows the number of wins eight teams had during a football season. Also shown are the average points each team scored per game during the season. Construct a 90% confidence interval to estimate the average number of wins for teams that scored an average of 22 points a game. Click the icon to view the data table. Determine the upper and lower limits of the confidence interval. UCL = LCL = (Round to three decimal places as...
The numbers of regular season wins for four football teams in a given season are given below. Determine the variance, and standard deviation of the sample data set. 5, 7, 9, 12 The sample mean is 8.25 The sample variance is (Simplify your answer. Round to two decimals as needed.) The sample standard deviation is (Simplify your answer. Round to two decimals as needed.)
The number of regular season wins for four football teams in a given toston are given below. Determine the variance, and standard deviation of the sample dataset 5,7,9,12 The sample mean is 825 The sample variance is (Simplify your answer. Round to two decimals as needed) The sample standard deviation is (Simplify your answer. Round to two decimals as needed)
The number of wins in a season for 32 randomly selected professional football teams are listed below. Construct a 90% confidence interval for the true mean number ofwins in a season.9 9 9 8 10 9 7 211 10 6 4 11 9 8 812 10 7 5 12 6 4 312 9 9 7 10 7 7 5
A sports psychologist tested whether the number of team wins in the previous season can predict the number of wins in the following season in a sample of 31 teams. Complete the regression table for this hypothetical study. (Round your value for Fobt to two decimal places.) Source of df MS Fobt Variation Regression Residual (error) Total 7 Make a decision to retain or reject the null hypothesis. (Assume alpha equal to 0.05.) Retain the null hypothesis O Reject the...
A sports psychologist tested whether the number of team wins in the previous season can predict the number of wins in the following season in a sample of 34 teams. Complete the regression table for this hypothetical study. (Round your value for Fobt to two decimal places.) Source of Variation SS df MS Fobt Regression 41 ? ? ? Residual (error) ? ? 7 Total ? ? Make a decision to retain or reject the null hypothesis. (Assume alpha equal...
3. In a National Football League (NFL) regular season, each team plays 16 games. Let " wins" be the number of regular season wins by a team in a particular season (taking a tie as half a win.) Since on average teams win half their games, the distribution of team wins has mean 8. Assume the distribution of team wins stays about the same from year to year. There is a positive correlation between a team's wins one year and...
Looking at the sample mean, is there practical significance? Write a sentence explaining your results as if you were explaining to a peer. (Stuck help to understand this greatly appreciate.) One-Sample Statistics Std. Error Mean Mean Std. Deviation 12.777 1585.021 60 79.33 1.649 MasteryPoints Total Time Spent 60 1433.82 204.625 One-Sample Test TestValue.05 95% Confidence Interval of the Difference Mean df Sig. (2-tailed Difference Lower Upper 79.283 MasteryPoints Total Time Spent 82.58 1843.22 48.066 59 75.98 7.007 59 1433.767 1024.31...
Scenario for 2-5: Research question: Is there a difference in the infant mortality rates of states above and below the mean income? Use the SPSS output below. Test the mean difference and the assumption of equal variances at the .05 level. Group Statistics N INCGROUP INFMORT Infant mortalit 1.00 below mean rate (per 1000 live births) 2.00 above mear 28 23 Mean 7.9464 6.7435 Std. Deviation 2.0224 1.1878 Std. Error Mean .3822 .2477 Levene's Test for Equality of Variances t-test...