SolutionA:
with t intervals
margin of error
=CONFIDENCE.T(0.05;0.5;50)
=0.142098
lower limit=sample mean-margin of error
=10-0.142098
95% confidence interval lower limit for mean using t interval =9.857901572
upper limit=sample mean+margin of error
=10+0.142098
95% confidence interval upper limit for mean using t interval =10.14209843
For z interval use confidence .norm
margin of error==CONFIDENCE.NORM(0.05;0.5;50)=0.13859
lower limit=sample mean-margin of error
=10-0.13859
95% confidence interval lower limit for mean using z interval
=9.861409618
95% confidence interval upper limit for mean using z interval
upper limit=sample mean+margin of error | 10.13859 |
Solutionb:
margin of error==CONFIDENCE.T(0.05;0.5;100)
=0.099210848
lower limit=sample mean-margin of error | 9.900789 |
upper limit=sample mean+margin of error | 10.09921 |
using Z interval:
margin of error=CONFIDENCE.NORM(0.05;0.5;100)=0.097998 | |
lower limit=sample mean-margin of error | 9.902002 |
upper limit=sample mean+margin of error | 10.098 |
Solutionc:
with t intervals:
excel formula for margin of error=CONFIDENCE.T(0.05;0.5;1000)=0.031027
n=1000 | |
margin of error | 0.031027 |
lower limit=sample mean-margin of error | 9.968973 |
upper limit=sample mean+margin of error | 10.03103 |
with z intervals:
excel formula to get z interval:
=CONFIDENCE.NORM(0.05;0.5;1000)
=0.03099
n=1000 | |
margin of error | 0.03099 |
lower limit=sample mean-margin of error | 9.96901 |
upper limit=sample mean+margin of error | 10.03099 |
Using Excel, find the value of the 95% confidence interval for a single sample using both...
When is unknown and the sample is of size n 230, there are two methods for computing confidence intervals for u. (Notice that, When is unknown and the sample is of size n<30, there is only one method for constructing a confidence interval for the mean by using the student's t distribution with d.f. = n - 1.) Method 1: Use the Student's t distribution with d.f. = n - 1. This is the method used in the text. It...
sample should be taken to provide a 95% confidence interval with a margin of error of .05? At 95% confidence, how large a sample should be taken to obtain a margin of error of .03 for the estimation of a population proportion? Assume that past data are not available for developing a planning value for p* 34.
Use the t-distribution to find a confidence interval for a mean μ given the relevant sample results. Give the best point estimate for μ, the margin of error, and the confidence interval. Assume the results come from a random sample from a population that is approximately normally distributed. A 95% confidence interval for u using the sample results x̄ = 10.7, s=4.5, and n = 30
7. Usually, anything over 30 samples is considered a large sample set however sometimes other values could be selected as the cutoff for a large sample set. Use Excel to calculate the error between the z value and Student's-t values (two-tails). Assuming that Student's-t values are the true values and the desired level of confidence is 89.6% compute the error for: a) n 20, b) n 30 and c)n 100 (Be sure to list the Excel formulas you use.) C...
Explain what "95% confidence" means in a 95% confidence interval. What does "95% confidence" mean in a 95% confidence interval? A. If 100 different confidence intervals are constructed, each based on a different sample of size n from the same population, then we expect 95 of the intervals to include the parameter and 5 to not include the parameter. B. The probability that the value of the parameter lies between the lower and upper bounds of the interval is 95%....
When σ is unknown and the sample is of size n ≥ 30, there are two methods for computing confidence intervals for μ. Method 1: Use the Student's t distribution with d.f. = n − 1. This is the method used in the text. It is widely employed in statistical studies. Also, most statistical software packages use this method. Method 2: When n ≥ 30, use the sample standard deviation s as an estimate for σ, and then use the...
Confidence Intervals 9. Construct a 95 % confidence interval for the population mean, . In a random sample of 32 computers, the mean repair cost was $143 with a sample standard deviation of $35 (Section 6.2) Margin of error, E. <με. Confidence Interval: O Suppose you did some research on repair costs for computers and found that the population standard deviation, a,- $35. Use the normal distribution to construct a 95% confidence interval the population mean, u. Compare the results....
If you obtain 0 successes or n successes when using n trials to estimate a population proportion, our formula for a 95% confidence interval breaks down and has a width of 0. In these situations, the formulas in Module4Quiz_Blyth.xlsx enable us to compute 95% confidence intervals for a population proportion. Suppose in 10,000 knee replacements at a hospital, none resulted in infections. You are 95% sure the real chance of an infection on a knee replacement falls within which interval?...
Construct a confidence interval for the population mean using a t-distribution: c = 95% m = 18 s = 5 n = 25. Choose from the intervals listed below.
Determine the critical value for a 95% confidence interval when the sample size is 11 for the t‑distribution. Enter the positive critical value rounded to 3 decimal places.