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

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 3 く To estimate the percentage of households in Connecticut which use fuel oil as a heating source, a researcher collects information from 1000 Connecticut households about what fuel is their heating source. Match the following: percentage of all households in Connecticut that use fuel oil as a heating source a household in Connecticut type of fuel used as heating source v1000 households in Connecticut all households in Connecticut v percentage of 1000 households in Connecticut that use fuel oil as a heating source a. variable b. population C. population parameter d. individual/observation e. sample statistic f. sample

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.

Thirty AA batteries were tested to determine how long they would last. The results, to the nearest minute, were recorded as follows: Table 3: Life of AA batteries, in minutes Battery life, x (in minutes) Number of battery 360 - 369 2 370 - 379 3 380 - 389 390 - 399 7 400 - 409 410 - 419 4 420 - 429 430 - 439 Based on Table 3: (a) Draw a cumulative frequency curve (ogive) to represent the above data. [Use graph paper] (b) Find the semi inter-quartile range by using the cumulative frequency curve. (c) Estimate the percentage number of battery with the battery life between 400 and 430 minutes. (d) of battery life. Calculate the mean and standard deviation for the number LO 3.

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

¶ ¶ 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…

question 1

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