75°F Cloudy In the twentieth century, it was a common practice in Southern California for houses to be built with pools in the backyard. For new homes, howeve practice may be changing, possibly as a measure to help reduce climate change. A recent study examined a random sample of 144 houses built in California in the twentieth century and an independent, random sample of 67 new houses built in Southern California. The sample of twentieth cent contained 71 houses with pools, and the sample of new houses contained 20 houses with pools. Based on this survey, can we conclude, at the 0.05 level of significance, that the proportion p₁ of all Southern California twentieth century houses t with pools is greater than the proportionh p, of all new Southern California houses that were built with pools? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified in the parts below. (If necessary, consul formulas.) (a) State the null hypothesis H, and the alternative hypothesis H₁. Ho :O H₁ :0 (b) Determine the type of test statistic to use. (Choose one) ▼ (c) Find the value of the test statistic. (Round to three or more decimal places.) 0 (d) Find the critical value at the 0.05 level of sianificance. (Round to three or more decimal places.). Explanation Check FULL HD 144Hz ‒‒ - O Search H x ローロ X O S Do OSO O © 2022 McGraw Hill LLC. All Rights Reserved. Tem

Students in a representative sample of 69 second-year students selected from a large university in England participated in a study of academic procrastination. Each student in the sample completed the Tuckman Procrastination Scale, which measures procrastination tendencies. Scores on this scale can range from 16 to 64, with scores over 40 indicating higher levels of procrastination. For the 69 second-year students in the study at the university, the sample mean procrastination score was 41.00 and the sample standard deviation was 6.83. n USE SALT (a) Construct a 95% confidence interval estimate of u, the population mean procrastination scale for second-year students at this college. (Use technology to calculate the critical value. Round your answers to three decimal places.) (b) How does the confidence interval for the population mean score for second-year students compare to the confidence interval for first-year students of (35.422, 38.618)? What does this tell you about the…

An industrial-organizational psychologist is interested in discovering the relationship between the tempo of preferred music that is played in a workplace and employee mood. Employees chose their favorite song on an MP3 player and then reported their moods when listening to that piece of music. A total of 10 participants were asked individually and brought in their own MP3 players; the least number of songs on an employee's MP3 player was 350. The sample data are presented as a scatterplot below. The psychologist wants to use a Pearson correlation coefficient to analyze the relationship. Considering the assumptions for this statistic, which of these statements is the correct course of action? A. The researcher has chosen the wrong statistic to represent this relationship. B. The researcher has violated a robust assumption and should be able to calculate r. C. The researcher has chosen the right statistic because all the assumptions are valid. D. The researcher has violated a…

A contributor for the local newspaper is writing an article for the weekly fitness section. To prepare for the story, she conducts a study to compare the exercise habits of people who exercise in the morning to the exercise habits of people who work out in the afternoon or evening. She selects three different health centers from which to draw her samples. The 56 people she sampled who work out in the morning have a mean of 4.4 hours of exercise each week. The 63 people surveyed who exercise in the afternoon or evening have a mean of 4.2 hours of exercise each week. Assume that the weekly exercise times have a population standard deviation of 0.8 hours for people who exercise in the morning and 0.7 hours for people who exercise in the afternoon or evening. Let Population 1 be people who exercise in the morning and Population 2 be people who exercise in the afternoon or evening.   Step 1 of 2: Construct a 99% confidence interval for the true difference between the mean amounts of…