Using the General Social Survey data (N = 1,321) we found that U.S. adults in the sample spend, on average, 2.82 hours per day doing housework, with the standard deviation of 2.38 (Note: GSS data is a random sample of the US adult population). Given this, what belongs in the following blanks? (Round to 2 decimals) & SketchNewThe standard error of the sampling distribution is equal toThe critical values (z) for the 95% confidence interval are equal to+/-The margin of error of the 95% confidence interval is equal toThe 95% confidence interval has the lower bound ofand the upper bound ofWe are% confident thatspend, on average, betweenandhoursper day doing housework.8:48 PMP Type here to search2/9/2022

Answered: Image /qna-images/answer/2d404538-88cd-4662-9990-d2106b602dc3.jpg

Using the General Social Survey data (N = 1,321) we found that U.S. adults in the sample spend, on average, 2.82 hours per day doing housework, with the standard deviation of 2.38 (Note: GSS data is a random sample of the US adult population). Given this, what belongs in the following blanks? (Round to 2 decimals)

Using the General Social Survey data (N = 1,321) we found that U.S. adults in the sample spend, on average, 2.82 hours per day doing housework, with the standard deviation of 2.38 (Note: GSS data is a random sample of the US adult population). Given this, what belongs in the following blanks? (Round to 2 decimals)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A simple random sample of men is obtained and the elbow-to-fingertip length of each man is measured. The population of those lengths has a distribution that is normal. The sample statistics are n=31, x=14.1, s=0.7. Determine the critical value of t and the margin of error, and then construct the 95% confidence interval estimate for the population mean. the critical value is t =?
If the skew calculation for a sample data set is negative, but lies within the 90% confidence interval, then we A. May conclude with 90% confidence that the population is skewed to the left B. May conclude with 90% confidence that the population is skewed to the right C. May conclude with 90% confidence that the population has a normal (symmetrical) skew D. May conclude with 90% confidence that the population has low kurtosis E. All of the above F. None of the above
A simple random sample of IQ scores is selected from a normally distributed population of statistics professors. The sample statistics are n=17,x=126, s=12. Determine the critical value of t and the margin of error, and then construct the 95% confidence interval estimate for the population mean.
2. Use the given information to find the number of degrees of freedom, the critical values χ2L and χ2R, and the confidence interval estimate of σ. It is reasonable to assume that a simple random sample has been selected from a population with a normal distribution. Platelet Counts of Women 98% confidence; n=23, s=65.1. LOADING... Click the icon to view the table of Chi-Square critical values. df= ? (Type a whole number.) χ2L= ? (Round to three decimal places as needed.) χ2R= ? (Round to three decimal places as needed.) The confidence interval estimate of σ is ? <σ<? . (Round to one decimal place as needed.)
he commute times for workers in a city are normally distributed with an unknown population mean and standard deviation. If a random sample of 20 workers is taken and results in a sample mean of 21 minutes and sample standard deviation of 6 minutes, find a 95% confidence interval estimate for the population mean using the Student's t-distribution. df...1718192021t0.10…1.3331.3301.3281.3251.323t0.05…1.7401.7341.7291.7251.721t0.025…2.1102.1012.0932.0862.080t0.01…2.5672.5522.5392.5282.518t0.005…2.8982.8782.8612.8452.831
A corresponding relationship between confidence intervals and two-tailed hypothesis tests also is valid for other parameters, such as p, ?1 − ?2, or p1 − p2, which we will study in later sections.) Whenever the value of k given in the null hypothesis falls outside the c = 1 – α confidence interval for the parameter, we reject H0. For example, consider a two-tailed hypothesis test with ? = 0.01 and H0: ? = 21H1: ? ≠ 21 A random sample of size 30 has a sample mean x = 22 from a population with standard deviation ? = 3. (a) What is the value of c = 1 − ?? Using the methods of Chapter 7, construct a 1 − ? confidence interval for ? from the sample data. (Round your answers to two decimal places.) lower limit upper limit
For a random sample of 50 measurements of X1, sample mean x ̄1 = 200, sample standard deviation s1 = 10. For X2, from a random sample of 50, sample mean x ̄2 = 190 and sample standard deviation s2 = 15. Assume that population distributions are approximately independent normal with unequal variances. Answer the following questions 1 through 3. 1. Construct a 90% confidence interval for μ1 − μ2. (i) State the assump- tions, (ii) show your work, and (iii) interpret the result in context of the problem. 2. Using the same samples, you want to test whether the difference between two population means is 5 or not at the significance level α = 0.1. H0 : μ1 − μ2 = 5 vs H1 : μ1 − μ2 ̸= 5. What would your conclusion be? Support your answer briefly. You don’t need to conduct the hypothesis test.
Reynir examines the difference in the amount of carbon dioxide in two types of mineral water. He performs a two-group t-test to compare the average carbon dioxide levels in the two groups. His hypotheses are H0 : μ1 - μ2 = 0 og H1 : μ1 - μ2 ≠ 0. Reynir also calculated a confidence interval for the difference between the means of the two groups α and in the hypothesis test). Reynir rejected the null hypothesis. Which of the following applies to the safety margin calculated by Reynir?a) It contains the value zero.b) It contains 95% of the values that can occur when the experiment is performed.c) It does not contain the value zero.d) It contains both values greater than zero and values less than zero.
Independent random samples from two normally distributed populations give the following results:nx = 10 x̄ = 480 sx = 30ny = 12 ȳ = 520 sy = 25a. If we assume that the unknown population variances are equal, find the 90% confidence interval for the difference of population means.b. If we do not assume that the unknown population variances are equal, find the 90% confidence interval for the difference between population means.
A simple random sample of size n=16 is drawn from a population that is normally distributed. The sample mean is found to be x=66 and the sample standard deviation is found to be s=19. Construct a 90% confidence interval about the population mean.
f you can use the pooled method, then you need to use it) An experimenter observesn = 49, x¯ = 6.312 from population A and m = 42, y¯ = 7.142 from population B. Suppose thatthe experimenter wishes to use values σA = σB = 1.7 for the population standard deviations.(a) What is the exact p-value for the hypothesis testing problem H0 : µA ≥ µB versusHA : µA < µB?(b) Construct a 99% one-sided confidence interval that provides an upper bound for µA − µB
A random sample of n measurements was selected from a population with unknown mean μ and standard deviation σ=15 for each of the situations in parts a through d. Calculate a 90% confidence interval for μ for each of these situations. a. n=50, x=26 b. n=150, x=115 c. n=80, x=18 d. n=80, x=4.76 e. Is the assumption that the underlying population of measurements is normally distributed necessary to ensure the validity of the confidence intervals in parts a through d? Explain. a. ( , ) b. ( , ) c. ( , ) d. ( , ) e.