How can we help?

You can also find more resources in our Help Center.

13 terms

Chapter 6. Hypothesis Test for 2 Populations

In hypothesis testing, the critical value is:
A number that establishes the boundary of the rejection region
What does not need to be known in order to compute the p-value?
The level of significance
A sample of size of 100 selected from one population has 60 successes, and a sample of size of 150 selected from a second population has 95 successes. The test statistic for testing the equality of the population proportions equal to:
A one-tailed test is a:
Hypothesis test in which rejection region is one tail of the sampling distribution
In testing the null hypothesis "Ho:p1-p2=0" , if Ho is false, this type of error is called:
a Type II error
The probability of making a Type I error is denoted by
The symbol for "x bar sub d" refers to:
the mean difference in the pairs of observations taken from two dependent samples
The number of degrees of freedom associated with the t test, when the data are gathered from a matched pairs experiment with 25 pairs, is:
If a hypothesis is not rejected at a 4% significance level, what will happen at a 2% level?
Ho would not be rejected at the 2% level
When creating a 95% confidence interval estimate for the means difference between two populations where sigma is not known, what is the upper limit of the confidence interval? Use the following summary information: Population 1: Sample Size (50), Sample Mean (175) and Sample Standard Deviation (18.5); Population 2: Sample Size (42), Sample Mean (158) and Sample Standard Deviation (32.4).
Excel's ___ function can be used to calculate a p-value for a hypothesis test
When the necessary conditions are met, a two-tail test is being conducted to test the difference between two population proportions. If the value of the test statistic z is 2.05, then the p-value is:
If we are interested in testing whether the mean of population A is at least as big as the mean of population B, the alternative hypothesis should state:
Ha: mu sub A - mu sub B < 0