The data provided in the above statkey display refers to a random sample of 50 healthy adults where each person's temperature was recorded. a. How many people were in the original sample? b.
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- In a study conducted by some Statistics students, 73 people were randomly assigned to listen to rap music, music by Mozart, or no music while attempting to memorize objects pictured on a page. They were then asked to list all the objects they could remember. The summary statistics for each group are shown in the table. Complete parts a and b. HA: HM-HRU C. Ho: HM-HR <0 HA: HM-HR=0 ... Count Mean SD HA: HM-HRU D. Ho: HM-HR = 0 HA: HM-HR <0 Rap Mozart The 90% confidence interval for the negative difference in means is (.). (Round to three decimal places as needed.) 33 • 20 10.88 10.15. 3.71 3.04 No Music 20 13.29 4.88 Test the hypothesis. t = -0.78 (Round to two decimal places as needed.) P = 0.7799 (Round to four decimal places as needed.) State your conclusion. Use α = 0.05. Do not reject Ho. There is no evidence that the mean number of objects remembered by those who listen to Mozart is higher than the mean number of objects remembered by those who listen to rap music. b) Now compare…9. In 2016 an online poll was conducted regarding the results of the 2016 NBA All-Star Dunk Contest. The poll asked 100,000 people, "Who [do you think] won the dunk contest?". The results are shown in the relative frequency table below Response Percentage Aaron Gordon 55% Zach Lavine 45%The number of regular season wins for 10 college football teams in a given season are given below: 15 5 13 | 1 2 10 15 4 7 What is the population variance? Simplify your answer. Round to the nearest hundredth as needed.
- Consider a sample with data values of 27, 25, 20, 15, 30, 34, 28, and 25. Compute the 19th, 24th, 65th, and 75th percentiles. If needed, round your answers to two decimal digits. Percentile Value 19% 24% 65% 75%Here is a set of sample data. 43 75 64 40 50 11 91 99 44 82 39 25 35 86 60 2 27 83 45 65 1 93 88 10 Base on the data above, identify the 5 number summaryThe General Social Survey is an annual survey given to a random selection of about 1500 adults in the United States. Among the many questions asked are "What is the highest level of education you've completed?" and "If you're employed full-time, how many hours do you spend working at your job during a typical week?" In a recent year, 1079 respondents answered both questions. The summary statistics are given in the chart below. (The sample data consist of the times, in hours per week, that were given by the respondents.) Sample Sample Sample size Groups mean variance Less than h.s. High school Bachelor's 258 40.9 101.8 263 41.8 97.5 270 42.2 94.4 Graduate 288 43.0 98.7 Send data to calculator Send data to Excel To decide if there are any differences in the mean hours per week worked by these different groups, we can perform a one-way, independent-samples ANOVA test. Such a test uses the following statistic. Variation between the samples F= Variation within the samples For the data from…
- A random sample of 10 compact cars, 10 mid-size cars, and 10 luxury cars were selected. The time (in seconds) each of the randomly selected cars required to accelerate from 0 to 60 mph was looked up on the Autos.com website. The results are presented below. Car Type Time (in seconds) Required to Accelerate from 0 to 60 mph Compact 9.3 8.1 10.2 8.8 9.0 9.3 7.7 9.2 9.4 8.6 Mid-Size 6.9 5.7 8.3 7.7 8.6 5.9 6.1 8.8 6.1 7.2 Luxury 5.7 6.3 5.4 4.7 6.2 7.0 5.9 5.3 6.3 5.0 Conduct a hypothesis test using ! = 0.05 to determine whether the mean time required to accelerate from 0 to 60 mph is the same for compact, mid-size, and luxury cars. (No accounting or excel, I need help solving it.)The General Social Survey is an annual survey given to a random selection of about 1500 adults in the United States. Among the many questions asked are "What is the highest level of education you've completed?" and "If you're employed full-time, how many hours do you spend working at your job during a typical week?" In a recent year, 1116 respondents answered both questions. The summary statistics are given in the chart below. (The sample data consist of the times, in hours per week, that were given by the respondents.) Sample Sample Sample Groups size mean variance Less than 281 41.6 115.8 h.s. High school 260 43.3 96.3 Bachelor's 294 42.5 100.5 Graduate 281 44.2 108.2 Send data to Excel Based on these summary statistics, we perform a one-way, independent-samples ANOVA test to determine if there is a difference in the mean hours worked in a typical week among the four populations of workers. (a) The results of this ANOVA are given in the incomplete ANOVA table below. Complete the…We asked UST employees to tell us how many megabytes of memory (RAM) they have on their computer. We would like to test to see if the mean amount of memory is the same for three different academic departments. We have the memory amounts for six faculty members' machines in the three departments shown below. Dept. 1 Dept. 2 Dept. 3 1 4096 4096 4096 2 4096 2048 4096 4096 2048 8192 computer 4 8192 4096 8192 4096 2048 4096 6. 2048 8192 2048 Here is the ANOVA table: Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Factor 5592405 2796203 XXX 0.604 Error XX 80390827 5359388 Total XX 85983232 Calculate the number of degrees of freedom Error. 3.
- Find the population mean or sample mean as indicated. Population: 6, 9, 3, 12, 14, 16 O A. x=11 OB. x= 12 O C. µ= 13 ΟD. μ= 10Ms. Lorraine Finch, a fifth grade teacher has a large class of 50 students for the 2018 - 2019 school year. After giving a reading comprehension test, Ms. Finch decided to do a brief statistical analysis. A frequency distribution of the results is presented below. a. Fill in the missing pa rts of Ms. Finch’s frequency distribution. Do any necessary scrap work in the space next to the table. b. Construct a histogram of the frequency distribution. c Is the distribution of test scores normal? Explain. Score Frequency Relative Frequency 84 2 0.04 85 5 0.1 86 0.08 87 8 0.16 88 10 89 90 5 0.1 91 4 0.08 92 3 0.06Consider these sample data: x, = 12, x2 = 7, X3 = 6, x4 = 22. a. Find n. b. Compute x. c. Determine x.