Chapter 10: Q.1.3 (page 608)
Find the probability that is less than or equal to . Show your work.
Short Answer
The required probability is .
Chapter 10: Q.1.3 (page 608)
Find the probability that is less than or equal to . Show your work.
The required probability is .
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Get started for free40. Household size How do the numbers of people living in households in the United Kingdom (U.K.) and South Africa compare? To help answer this question, we used Census At School’s random data selector to choose independent samples of students from each country. Here is a Fathom dotplot of the household sizes reported by the students in the survey.
The two-sample t statistic for the road rage study (male mean minus female mean) is . The P-value for testing the hypotheses from the previous exercise satisfies
(a) .
(b) .
(c) .
(d) .
(e) .
A scatterplot and a least-squares regression line are shown in the figure below. If the labeled point is removed from the data set, which of the following statements is true ?
(a) The slope will decrease, and the correlation will decrease.
(b) The slope will decrease, and the correlation will increase.
(c) The slope will increase, and the correlation will increase.
(d) The slope will increase, and the correlation will decrease.
(e) No conclusion can be drawn since the other coordinates are unknown.
A driving school wants to find out which of its two instructors is more effective at preparing students to pass the state’s driver’s license exam. An incoming class of students is randomly assigned to two groups, each of size . One group is taught by Instructor A; the other is taught by Instructor B. At the end of the course, of Instructor A’s students and of Instructor B’s students pass the state exam. Do these results give convincing evidence that Instructor A is more effective?
Min Jae carried out the significance test shown below to answer this question. Unfortunately, he made some mistakes along the way. Identify as many mistakes as you can, and tell how to correct each one.
State: I want to perform a test of
where the proportion of Instructor A's students that passed the state exam and the proportion of Instructor B's students that passed the state exam. Since no significance level was stated, I'll use
Plan: If conditions are met, I’ll do a two-sample test for comparing two proportions.
Random The data came from two random samples of students.
- Normal The counts of successes and failures in the two groups , and are all at least .
- Independent There are at least 1000 students who take this driving school's class.
Do: From the data, and . So the pooled proportion of successes is
- Test statistic
localid="1650450621864"
- -value From Table A, localid="1650450641188" .
Conclude: The -value, , is greater than , so we fail to reject the null hypothesis. There is no convincing evidence that Instructor A's pass rate is higher than Instructor B's.
Coaching and SAT scores Let’s first ask if students who are coached increased their scores significantly.
(a) You could use the information on the Coached line to carry out either a two-sample t test comparing Try with Try for coached students or a paired t test using Gain. Which is the correct test? Why?
(b) Carry out the proper test. What do you conclude?
(c) Construct and interpret a confidence interval for the mean gain of all students who are coached
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