When sample size is less tha 30 or population SD is unknown,
we use t sta instead of z
When do we use a t-statistic instead of a z-statistic to help infer a mean?
You can use both the t-statistic and the Z-statistic to test hypotheses about the mean of a population. The test that uses the t-statistic is typically referred to as a t test, while the test that uses the z-statistic is commonly called a z test. IO Which of the following statements are true of the t-statistic and the t distribution? Check all that apply. The formula for the t-statistic is t = (x - 1) / s/vn. When the population...
I need help with questions a through g. could we use t alpha instead of z? since we are talking about a sample mean ? please show z & t, is it indistinct to use either or ? ne expected mean of a normal population is 100, and its standard deviation is 12. Asample of 36 measurements gives a sample mean of 96, using the α,01 tevel of significance a test is to be made to decide between "population mean...
When do we use t vs. z distributions? What are assumptions that must be met when using the t distribution? When can we assume equal population variances? What are degrees of freedom? When do we need to calculate them? What do we estimate when solving the formula for finding z obtained with sample proportions in the two sample case? How do we estimate it?
Why do we use an ANOVA instead of doing multiple T-tests?
If we know the population standard deviation and we use the t-test instead of the Z-test, a) We will increase the probability of type II error. b) We will increase the probability of type I error. c) We will have the same conclusion d) None of the above The chi-square goodness-of-fit test can be used to test for: a) significance of sample statistics b) difference between population means c) normality d) probability
when computing the cross product why do we use a -j instead of j?
When you're running an ANOVA we no longer have t-test or distribution, instead we use the _______ test and the _______distribution. What factors are most important in determining whether obtained results will be significant? What factors are involved in choosing a significance level?
for the type of test statistic, is it z, t, chi square or F. please help with this entire question Tee Roaring 105.02 A laboratory claims that the mean sodium level, H. of a healthy adult is 140 mq per liter of blood. To test this claim, a random sample of 9 adult patients is evaluated. The mean sodium level for the sample is 144 mq per liter of blood. It is known that the population standard deviation of adult...
1. When do we use an independent groups t-test? a. b. c. d. When we are comparing means from one sample that has been measured twice. When we are comparing means from two different samples. When we are comparing a sample mean to a population mean. When we are comparing two population means. 2. Which of the following is true regarding the use of t-tests for true experiments versus quasi-experimental designs? a. b. We use the same t-test whether it...
A coin is tossed 70 times and 33 heads are observed. Would we infer that this is a fair coin? Use a 92% level confidence interval to base your inference. a) The sample statistic for the proportion of heads is: b) The standard error in this estimate is c) The correct z* value for a 92% level confidence interval is d) The lower limit of the confidence interval is e) The upper limit of the confidence interval is