Answer:- Since here we are using one sample T confidence
interval. And we know that if we have sample mean xbar and sample
standard deviation S then (1-)%
confidence interval by T distribution is
Xbar - t × S/(n)½ < T < xbar + t × S/(n)½
Where t is the critical value at (/2)
level of significance and (n-1) d.f.(degree of freedom) ,where n is
sample size.
Here we have given d.f.= 40 i.e.,
n-1 = 40 => n = 41
So sample size is 41, hence 41 beers were in the sample.
Option (A) is correct.
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: 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.
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.
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...
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 check if correct and add a statement summarry of the
findings
4. Construct a 95% confidence interval for the average infant mortality rate. Be sure to write a statement summarizing your findings. One sample T confidence interval: Where: Group = "Infant" u : Mean of variable 95% confidence interval results: Variable Sample Mean Std. Err. DF L. Limit U. Limit 62.556325 1.5340462 331 59.538616 65.574035 Rate
33. Find the z-score used in the formula to construct a 92% confidence interval for a population proportion: O a. 1.4051 Ob. 1.5548 Oc. 1.7507 Od. 1.96 34. All of the following are TRUE about 95% confidence intervals for a population mean except ::* O a. The population mean may or may not be in the confidence interval. Ob. The value of T varies depending on sample size. Oc. If the sample size is large, the Central Limit Theorem says...
Use the given degree of confidence and sample data to construct a confidence interval for the population mean μ. Assume that the population has a normal distribution The amounts (in ounces) of juice in eight randomly selected juice bottles are: 15.4 15.6 15.0 15.1 15.3 15.4 15.9 15.9 Construct a 98% confidence interval for the mean amount of juice in all such bottles OA. 15.10 oz<p<15.80 oz O B. 15.00 oz<p < 15.90 oz OC. 15.90 oz<H15.00 oz D. 15.80...
QUESTION 8 Use the confidence level and sample data to find a confidence interval for estimating the population u. Round your answer to the same numbe of decimal places as the sample mean. A random sample of 1 17 full grown lobsters had a mean weight of 22 ounces and a standard deviation of 2.7 ounces. Construct a 98% confidence interval for the population mean . ?20 oz < ? < 22 oz 022 oz < ? < 24 oz...
Use the one-mean t-interval procedure with the sample mean, sample size, sample standard deviation, and confidence level given below to find a confidence interval for the mean of the population from which the sample was drawn. sample mean=3.0 n=41 s=5.4 confidence level=90% The 90% confidence interval about μ is ?? to ???
A 95% confidence interval for a population mean was calculated. The sample mean was found to be 34.5 and the MOE was found to be 4.06 giving us a confidence interval of 34.5±4.06 or equivalently written as 30.44 to 38.56. (a) For the hypotheses H0:?=30 Ha:??30, would you reject the null hypothesis at the 5% level of significance (i.e. ? = 0.5)? (Type: YES or NO or CANNOT TELL): (b) For the hypotheses H0:?=41 Ha:??41, would you reject the null...