Part B: Results Write Up
Confidence Interval Analysis: 95% Confidence Interval for Population Mean is (… , …)
meaning generally expenses on … is between … and …
Two Sample Hypothesis Test Analysis:
Describe in words results of Hypothesis Testing.
A confidence interval, refers to the probability that a population parameter will fall between two set values for a certain proportion of times. 95% Confidence interval interval is a range of values that you can be 95% certain contains the true mean of the population. The 95% confidence interval defines a range of values that you can be 95% certain contains the population means.
Two sample test is a test performed on the data of two samples.each independently obtained from a different given population. The purpose of the test is to determine whether the difference between these two population is statistically significant.
Statistical Hypothesis is an assumption about a population parameter. This assumption is may or may not be true. Hypothesis testing refers to the formal procedures used by statistician to accept or reject statistical hypothesis.
Part B: Results Write Up Confidence Interval Analysis: 95% Confidence Interval for Population Mean is (…...
Part A: Inferential Statistics Data Analysis, Plan and Computation Introduction: Variables Selected: Any two variables out of Income, Age, Food, Meat, Bakery, Fruits. Table 1: Quantitative Variables from the given Dataset spreadsheet Selected for Analysis Variable Name Description Variable 1: Variable 2: Data Analysis: 1. Confidence Interval Analysis: For one quantitative variable, select and run the appropriate method for estimating a parameter, based on a statistic (i.e., confidence interval method) and complete the following Table 2. Table 2: Confidence Interval...
Assuming that the population is normally distributed, construct a 95% confidence interval for the population mean, based on the following sample size of n = 5. 1, 2, 3, 4, and 30 In the given data, replace the value 30 with 5 and recalculate the confidence interval. Using these results, describe the effect of an outlier (that is, an extreme value) on the confidence interval, in general. Find a 95% confidence interval for the population mean, using the formula or...
And construct a 95% confidence interval for the population mean for sample B 8.2.13-1 95% confidence interval for the population mean for each of the samples below plain why these Assuming that the population is normally distributed, construct a two samples produce differen t confidence intervals even though they have the same mean and range Full dataset SampleA: 1 1 4 4 5 5 8 8 Sample B: 1 2 3 45 6 7 8 Construct a 95% confidence interval...
Assuming that the population is normally distributed, construct a 95% confidence interval for the population mean, based on the following sample size of .n=7. 1, 2, 3, 4, 5, 6, and 15 <-----this is the data In the given data, replace the value 15 with 7 and recalculate the confidence interval. Using these results, describe the effect of an outlier (that is, an extreme value) on the confidence interval, in general. Find a 95% confidence interval for the population mean,...
Assuming that the population is normally distributed, construct a 95% confidence interval for the population mean, based on the following sample size of n=8.1, 2, 3, 4, 5, 6, 7, and 24 In the given data, replace the value 24 with 8 and recalculate the confidence interval. Using these results, describe the effect of an outlier (that is, an extreme value) on the confidence interval, in general.Find a 95% confidence interval for the population mean, using the formula or technology.Round answer to two decimal places
Assuming that the population is normally distributed, construct a 95 % confidence interval for the population mean, based on the following sample size of n=8. 1, 2, 3, 4, 5, 6, 7 , and 19 In the given data, replace the value 19 with 8 and recalculate the confidence interval. Using these results, describe the effect of an outlier (that is, an extreme value) on the confidence interval, in general. Find a 95% confidence interval for the population mean, using...
Construct a 95% confidence interval to estimate the population mean with x overbar =118 and sigma =32 for the following sample sizes. a) n = 32 b) n = 43 c) n = 65 a) With 95% confidence, when n=32, the population mean is between the lower limit of ___ and the upper limit of ___. (Round to two decimal places as needed.) b) With 95% confidence, when n=43, the population mean is between the lower limit of...
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....
8.1.5 Question Help Determine the 95% confidence interval estimate for the population mean of a normal distribution given n = 100, o = 133, and x = 1,500 The 95% confidence interval for the population mean is from to (Round to two decimal places as needed. Use ascending order.) 8.1.14-T Question Help As a follow-up to a report on gas consumption, a consumer group conducted a study of SUV owners to estimate the mean mileage for their vehicles. A simple...
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...