Homework Answers
looking at the table given for 95% confidence interval result we can directly interpret the lower and upper limits of rthe 95% confidence interval
95% confidence interval lower limit = 59.538616
95% confidence interval upper limit = 65.574035
Conclusion
We are 95% confident that the average infant mortality rate lie between the range 59.538616 and 65.574035
If you will take any sample, 95% of those will contain the true value of infant mortality rate
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4. Construct a 95%...
Use the following information to answer the following question One sample T confidence interval: : Mean...
Use the following information to answer the following question One sample T confidence interval: : Mean of variable 95% confidence interval results: Variable Sample Mean Std. Err. DF L. Limit U. Limit Calories in beer 12 oz 155.54433.4731854 40 148.68411162.4045 How many beers were in the sample? OA. 41 OB. 12 OC.40 D.95 E unable to tell from the given output.
Use the following information to answer the following question. One sample T confidence interval: u: Mean...
Use the following information to answer the following question. One sample T confidence interval: u: Mean of variable 95% confidence interval results: Variable Sample Mean Std. Err. DF L. Limit U. Limit Calories in beer 12 oz 155.5443 3.4731854 40 148.68411162.4045 What is the 95% error margin for the variable Calories? A. 6.86 OB.13.72 O C.3.43 D.3.47 O E. unable to tell from the given output.
Use the following information to answer the following question. One sample T confidence interval: u: Mean...
Use the following information to answer the following question. One sample T confidence interval: u: Mean of variable 95% confidence interval results: Variable Sample Mean Std. Err. DF L. Limit U. Limit Calories in beer 12 oz 155.54433.473185440148.68411162.4045 What is the approximate typical size of the sampling error? A. 0.28 OB.3.47 OC. 155.54 OD. 6.86 E. unable to tell from the given output.
In the picture below, I have the output for the same two sets of data. I ran the hypothesis test and the confidence interval. If you had a choice to use one output or the other, which would you choose...
In the picture below, I have the output for the same two sets of data. I ran the hypothesis test and the confidence interval. If you had a choice to use one output or the other, which would you choose and why? Make sure to be specific and include what information you get from each and what information you don't get if you use one over the other. Options Two sample T summary hypothesis test: : Mean of Population 1...
Infant mortality rate is defined as the number of babies that die between birth and age 1 per 1000 live births. For example, an infant mortality rate of 23.4 means that for every 1000 babies born 23.4...
Infant mortality rate is defined as the number of babies that die between birth and age 1 per 1000 live births. For example, an infant mortality rate of 23.4 means that for every 1000 babies born 23.4 will die before age 1. We are using rates in this project because it allows us to compare regions with different population sizes. 1. Provide descriptive statistics (Mean, median, variance, standard deviation, and the five number summary) for infant mortality rate for each...
Height 180 170 160 150 140 There are no severe outliers within height. 2. Produce the 5-number su...
Can I get help for questions 6,7,11,12,13,14,15,16,17,18 and
20.
Height 180 170 160 150 140 There are no severe outliers within height. 2. Produce the 5-number summary for Height using the filtered sample. Minimum Value: 140 Q1: 153 Median: 162 Q3: 169 Maximum Value: 186 3. Provide the Normal QQ plot for your sample with the outliers removed Do you think the plot provides evidence for normality? Looking at the plot, I do believe that this does provide evidence for...
PLEASE ANSWER CLEARLY Question Completion Status: One sample proportion summary confidence interval: P: Proportion of successes...
PLEASE ANSWER CLEARLY
Question Completion Status: One sample proportion summary confidence interval: P: Proportion of successes Method: Standard-Wald 95% confidence interval results: Proportion Count Total Sample Prop. Std. Err. L. Limit U. Limit р 68 285 0.23859649 0.025247422 0.18911245 0.28808053 a. Identify the 95% confidence interval for this given scenario. a. 18.9% < < 28.8% o b. 18.9% < < 28.8% 18.9% < X < 28.8% C 95% confidence interval results: Proportion Count Total Sample Prop. Std. Err. L. Limit...
PLEASE ANSWER CLEARLY The national figure for the percent of Americans on welfare is around 20%....
PLEASE ANSWER CLEARLY
The national figure for the percent of Americans on welfare is around 20%. In Lucas County, a random sample of 285 people found that 68 of them are on welfare. Suppose the claim the proportion of all people in Lucas County that are on welfare is greater than the national figure of 20%" is tested and resulted in not rejecting the null hypothesis. The 95% confidence interval is: One sample proportion summary confidence interval: P: Proportion of...
Please Help I need the answers to below. Question 2: Construct a 95% confidence interval for...
Please Help I need the answers to below. Question 2: Construct a 95% confidence interval for the population mean. Assume that your data is normally distributed and σ is unknown. Include a statement that correctly interprets the confidence interval in context of the scenario. Calculations/Values Formulas/Answers Mean 72,224.34 Standard Deviation 22,644.46 n 364 Critical Value Margin of Error Lower Limit Upper Limit Question 3 construct a 99% confidence interval for the population mean. Assume that your data is normally distributed...
Scenario for 2-5: Research question: Is there a difference in the infant mortality rates of states...
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...
Use the following information to answer the following question One sample T confidence interval: : Mean of variable 95% confidence interval results: Variable Sample Mean Std. Err. DF L. Limit U. Limit Calories in beer 12 oz 155.54433.4731854 40 148.68411162.4045 How many beers were in the sample? OA. 41 OB. 12 OC.40 D.95 E unable to tell from the given output.
Use the following information to answer the following question. One sample T confidence interval: u: Mean of variable 95% confidence interval results: Variable Sample Mean Std. Err. DF L. Limit U. Limit Calories in beer 12 oz 155.5443 3.4731854 40 148.68411162.4045 What is the 95% error margin for the variable Calories? A. 6.86 OB.13.72 O C.3.43 D.3.47 O E. unable to tell from the given output.
Use the following information to answer the following question. One sample T confidence interval: u: Mean of variable 95% confidence interval results: Variable Sample Mean Std. Err. DF L. Limit U. Limit Calories in beer 12 oz 155.54433.473185440148.68411162.4045 What is the approximate typical size of the sampling error? A. 0.28 OB.3.47 OC. 155.54 OD. 6.86 E. unable to tell from the given output.
Can I get help for questions 6,7,11,12,13,14,15,16,17,18 and
20.
Height 180 170 160 150 140 There are no severe outliers within height. 2. Produce the 5-number summary for Height using the filtered sample. Minimum Value: 140 Q1: 153 Median: 162 Q3: 169 Maximum Value: 186 3. Provide the Normal QQ plot for your sample with the outliers removed Do you think the plot provides evidence for normality? Looking at the plot, I do believe that this does provide evidence for...
PLEASE ANSWER CLEARLY
Question Completion Status: One sample proportion summary confidence interval: P: Proportion of successes Method: Standard-Wald 95% confidence interval results: Proportion Count Total Sample Prop. Std. Err. L. Limit U. Limit р 68 285 0.23859649 0.025247422 0.18911245 0.28808053 a. Identify the 95% confidence interval for this given scenario. a. 18.9% < < 28.8% o b. 18.9% < < 28.8% 18.9% < X < 28.8% C 95% confidence interval results: Proportion Count Total Sample Prop. Std. Err. L. Limit...
PLEASE ANSWER CLEARLY
The national figure for the percent of Americans on welfare is around 20%. In Lucas County, a random sample of 285 people found that 68 of them are on welfare. Suppose the claim the proportion of all people in Lucas County that are on welfare is greater than the national figure of 20%" is tested and resulted in not rejecting the null hypothesis. The 95% confidence interval is: One sample proportion summary confidence interval: P: Proportion of...
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...
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