help me on my hw plz Which of the following regarding the student t-distributions is/are not...
The options below give information about three different distributions and samples taken from them: I. Population approximately normally distributed, population standard deviation known, sample size n=10 II. Population approximately normally distributed, population standard deviation unknown, sample size n=10 III. Population distribution skewed right, population standard deviation unknown, sample size n=50 Which of these three samples could be used to create a confidence interval for the mean of the respective population? You may assume that the population sizes are all greater...
A normal distribution is approximated as a Student t distribution when the population standard deviation is unknown. Select one: True on O False
2. Fill this table with the appropriate critical values from the normal (z) or Student'st(t) distributions, or indicate that none of these is applicable: Confidence level Population Sample size N standard deviation Distribution shape Z critical T critical 95% Unknown Normal Unknown Normal Known Skewed Known Skewed Unknown Normal 90% Skewed 98% Normal 98% Unknown Normal
1.Which of the following distributions is widely used to describe the time between random events? Uniform distribution Exponential distribution Poisson distribution Normal distribution None of the answer choices is correct. 2. Which of the following distributions is not skewed? Normal distribution Uniform distribution Lognormal distribution Exponential distribution I only II only III only IV only Only I and II
which of the following is true regarding asset management ratios Which of the following is true regarding Asset Management Ratios? I. They measure the company's ability to use its assets to pay debt. II. They include inventory turnover, receivables turnover, and asset turnover. II. They measure how efficiently a company uses its assets to generate sales. IV. They measure the company's ability to generate earnings. Select one: a. I only. b. I and Il only. c. Il only. d. II...
urgent one hours plz help quick t-distribution PARAMETER equal to n-1, where n the the sample size used to estimate the sample mean and standard deviation. 123456789101112131415 Gives the number of STANDARD DEVIATIONS a value is from the mean. 123456789101112131415 Standard deviation of a sample statistic. 123456789101112131415 Using data to determine properties of population parameters. 123456789101112131415 A NORMAL distribution with mean 0 and standard deviation 1. 123456789101112131415 Gives the NORMALITY of sample means for large sample. 123456789101112131415 A known percentage...
A random sample of 49 measurements from one population had a sample mean of 18, with sample standard deviation 5. An independent random sample of 64 measurements from a second population had a sample mean of 21, with sample standard deviation 6. Test the claim that the population means are different. Use level of significance 0.01. (a) What distribution does the sample test statistic follow? Explain. The standard normal. We assume that both population distributions are approximately normal with unknown...
QUESTION 14 1 points Save Answer Consider the following statements concerning the normal distribution. ) The normal distribution is symmetric and unimodal. (ii) The normal distribution is useful for approximating some discrete distributions. (iii) Only knowledge of the mean and variance is required to completely specify a normal distribution. A. Only (i) and (ii) are true. B. All of (i), (ii) and (ii) are true. C. Only () is true. D. Only () and (iii) are true. QUESTION 15 0.5...
DETAILSIDCOLLABSTAT2 8.HW.006.MY NOTESASK YOUR TEACHERPRACTICE ANOTHERSuppose that an accounting firm does a study to determine the time needed to complete one person's tax forms. It randomly surveys 200 people. The sample average is 23.7 hours. There is a known population standard deviation of 6.0 hours. The population distribution is assumed to be normal.NOTE: If you are using a Student's t-distribution, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.)Part (a)(i) x = (ii) 𝜎 = (iii) 𝜎 x = (rounded to three decimal places)(iv) n = (v) n − 1 = Part (b)Part (c)Which...
Which of the following is a true statement for any population with mean μ and standard deviation σ? I. The distribution of sample means for sample size n will have a mean of μ. II. The distribution of sample means for sample size n will have a standard deviation of. III. The distribution of sample means will approach a normal distribution as n approaches infinity.