Calculate the pulse width, rise time, and fall time of the pulse

Question 11 The data below give the amount of money spent on fast food by 14 individuals over a one week period. Calculate the percentile rank of 46 and 36. Round solutions to one decimal place, if necessary. 20 42 54 46 36 38 10 26 36 12 21 36 36 35 Percentile Rank of 46 = 89.3 Percentile Rank of 36 = Question Help: B Read Video Submit Question

Consider the following hypothetical data showing the daily amount of rainfall for 10 weeks during the summer. Daily Rainfall Daily Rainfall on on Weekdays (Mon.–Fri.) 1.2 0.6 Weekends Week (Sat.-Sun.) 1 1.5 2 2.0 0.0 1.8 4 1.6 1.5 2.2 5 0.8 6. 2.1 2.4 7 0.2 0.8 8 0.9 1.6 1.1 1.2 10 1.4 1.7 Calculate the average daily rainfall during the week and the average daily rainfall for weekends. a. b. Based on the two means, does there appear to be a pattern in the data? Calculate the maximum rainfall during the weekdays and the maximum rainfall for weekends. с.

QUESTION 6 4.72b: What is the requested score? I. 392.8 II. 425.3 III. 438.7 IV. 457.2

Question 9 A finance officer for a large company wants to find out an estimate for the percentage of company accounts whose payments are more than 30 days overdue. He carries out a survey by randomly selecting a sample of accounts. The results are shown in the table below. Number of days overdue Less than 10 days Between 10 and 30 days More than 30 days Number of accounts 80 28 42 a) Use the information in the table above to find the percentage of accounts in the sample that are more than 30 days overdue. b) Using your answer to part a), find the 90% confidence interval for the percentage of all the accounts in the company that are more than 30 days overdue. Give your answers to the nearest integer. c) The finance officer wants the total width of the 90% confidence interval in part b) to be less than 8%. Work out the smallest sample size that should be taken to achieve this.

Question 8 Calculate the 13th and 64th percentiles of the data set shown below. 29 18 12 17 28 23 9 21 22 Pis 9.51 This means that approximately % of the data lie at or below when the data are ranked. Po4 21 This means that approximately % of the data lie at or below when the data are ranked. Question Help: Read Submit Question

Bilue Green Hazel Brown Brown Brown Blue Blue Birown Brown Brown Hazel Blue Hazel Brown Brown Brown Brown Brown Blue Brown Hazel Green Brown Brown Blue Brown Brown Hazel Brown Green Hazel Brown Brown Brown Brown The data above is a random sample of eye colors collected from a group of 40 MVCC students

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¶ ¶ Situation: The "Small Town Restaurant" uses a forecast of weekly sales revenue to plan their inventory ordering and staffing for the upcoming week. They have been using a regression forecast for the past year and wonder if it is the most accurate method. You have been brought in to determine if another forecasting technique would be more accurate. Data for their weekly sales for the past year is below: ¶ Week Revenue. X Week 1 2 $3,016 3 $3,062.¤ ¤ 4 $ 3,074. X 5 $3,002. 6 ----3,054-¤¤ 7 $3,002.¤ ¤ 8 9 $3,078¤ ¤ 10 $3,010- X 11 $3,148. 12 $3,146 $3,198. 13 X ¶ $3,157.** $ Forecasting S $ 2,984-¤¤ A - Small Town Restaurant Revenue. 14 $3,157 ¤ $3,016 ¤ 15 16 $3,019 ¤ 17 $3,045 ¤ 18 19 $3,046 ¤ $3,157 ¤ $3,016 ¤ $3,078 ¤ 22 $2,984 20 21 ¤ 23 $3,002 ¤ 24 $3,054 ¤ 25 $3,002 ¤ 26 $2,941 X A Week Revenue. 27 $2,899 ¤ 28 $2,942 ¤ 29 $3,062 X ¤ 30 $3,074 31 $3,013 ¤ ¤ 32 $3,067 33 $3,148 ¤ 34 $3,146 ¤ 35 $3,198 ¤ 36 $3,082 ¤ 37 $3,146 ¤ 38 $3,150 ¤ 39 $3,221 ¤ X B Week Revenue. ¤ 40…

Use the following information for questions 25-26: You ask a sample of 155 students, “Should clinical trials on issues such as heart attacks that affect both sexes use subjects of just one sex?”  The responses are in the table below.   26. What is the chi-square contribution for females who said yes?     a. 2.2479   b. 1.7934   c. -0.2022   d. -8.87