Mortgage rates: Following are interest rates (annual percentage rates) for a 30-year fixed rate mortgage from a sample oflenders in Macon, Georgià for one day. It is reasonable to assume that the population is approximately normal.4.755 4.376 4.175 4.676 4.422 4.2264.123 4.250 3.955 4194Send data to ExcelPart: 0/ 2Part 1 of 2(a) Construct a 90% confidence interval for the mean irate. Round the answer to at least four decimal placesA 90% confidence intervall for the mean rate is

Name: Mortgage rates: Following are interest rates (annual percentage rates
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: Mortgage rates: Following are interest rates (annual percentage rates) for a 30-year fixed rate mortgage from a sample oflenders in Macon, Georgià for one day. It is reasonable to assume that the population is approximately normal.4.755 4.376 4.175

Answered: Image /qna-images/answer/e6d6e793-f11b-4cd4-a5ca-8abcbf7a2fb3.jpg

Math

Statistics

Mortgage rates: Following are interest rates (annua lenders in Macon, Georgià for one day It is reasonable to assume that the population is approximately normal. centage rates) for a 30-year fixed rate mortgage from a sample of 4.755 4.376 4.175 4.676 4.422 4.226 4.123 4.250 3.955 4 194 Send data to EKCEI Part: 0/2 Part 1 of 2 (a) Construct a 90% confidence interval for the mean rate. Round the answer to at least four decimal places. A 90% confidence interval for the mean rate is p<

Mortgage rates: Following are interest rates (annua lenders in Macon, Georgià for one day It is reasonable to assume that the population is approximately normal. centage rates) for a 30-year fixed rate mortgage from a sample of 4.755 4.376 4.175 4.676 4.422 4.226 4.123 4.250 3.955 4 194 Send data to EKCEI Part: 0/2 Part 1 of 2 (a) Construct a 90% confidence interval for the mean rate. Round the answer to at least four decimal places. A 90% confidence interval for the mean rate is p<

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Excel Charts Project Part 4 1. Create pie charts with the data below as described in the Excel Chart Project handout 2. Set the data series Pie Explosion to xx%, where xx is your birth month. Data from supplement Number of Engineering PhDs Awarded 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 African-American Men 103 113 94 114 129 118 112 134 128 140 Asian-American Men 393 373 463 467 445 493 515 556 538 485 Hispanic-American Men 129 149 135 134 152 189 247 230 233 239 Native American Men 14 15 20 18 18 20 11 33 18 20 Caucasian Men 1946 1997 2090 2224 2356 2630 2581 2550 2457 2501 Foreign National Men 4070 3736 4128 4241 4673 4894 4993 4945 5005 5354 Other Men 500 556 564 606 577 449 534 486 490 520 Total Men 7155 6939 7494 7804 8350 8793 8993 8934 8869 9259 African-American Women 50 57 59 76 69 64 60 100 68 81 Asian-American Women 145 173 197 196 206 226 234 227 224 252 Hispanic-American Women 40 66 48 58 75 71 74 72 92 79 Native American Women 8 7 9 3 6 7 8. 7 5 Caucasion Women…
In case-crossover studies, all fixed individual characteristics that might confound the association of interest are controlled for. A. True B. False C.Neither
Consider that we are interested in computing the time weighted average number of cars parked in the parking garage on a Sunday in December. We start at midnight and collect the entry and exit times of cars in the garage until the following midnight as follows. Entry 12:45:00 AM Entry 1:00:00 AM Entry 3:30:00 AM Exit 5:15:00 AM Entry 7:00:00 AM Entry 8:15:00 AM Exit 8:45:00 AM Entry 10:00:00 AM Exit 10:30:00 AM Entry 2:30:00 PM Exit 4:15:00 PM Entry 6:00:00 PM Exit 7:45:00 PM Entry 9:30:00 PM Exit 11:15:00 PM What was the time weight average number of cars parked in the parking garage on that Sunday?
Construct a stem-and-leaf plot for the following
Frequency 344.7 389.1 394.3 411.8 412.1 431.9 433.5 445 447.4 452.3 465.4 466 469.2 469.2 469.2 469.8 470.6 471.7 471.8 474.9 483 483.1 485 490.4 494.8 495.8 496.8 496.8 500 506.8 512.5 516.6 520.1 520.4 524.8 534.8 545.3 547.4 558.1 556.4 558.1 558.1 580.6 564.4 572.4 577.4 585 586.2 587.8 588.2 593.8 606.1 607.8 611.4 = 18 16 14 12 10 8 6 4 2 300 350 400 450 500 Find the first quartile for this data set. Q₁ length (cm) = 550 600 650 Find the third quartile for this data set. Q3² = Find the interquartile range for this data set. IQR = = Find the lower fence separating outliers from usual values. Fence Low Find the upper fence separating outliers from usual values. Fence high
The following distribution shows the annual average cost of a given commodity (100 pound bag of cement) for the given years. 1. Complete the table by computing the 4-year and 5-year SMAS and EMAs using your own commodity. Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Commodity Four- Price Year $6.75 $6.70 $7.75 $6.72 $5.75 $6.70 $5.99 $6.25 $6.35 $7.15 $6.95 $6.45 $8.75 $8.50 $9.25 $9.33 $8.95 $9.15 $9.55 $8.85 Four-Year Five-Year Exponential Simple Moving Averages (SMA Simple Moving Moving Averages Averages (EMA) (SMA) Five-Year Exponential Moving Averages (EMA)
A statistical program is recommended. A certain company has been an authorized dealer for C&D marine radios for the past seven years. Suppose the quarterly sales values for the seven years of historical data are as follows. Year Quarter 1 Quarter 2 Quarter 3 1 2 3 4 5 6 7 1 2 3 4 1 2 Year Quarter Sales 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 7 4 10 1 15 20 23 25 (a) Deseasonalize the data. (Round your answers to three decimal places.) 28 7 15 10 4 10 18 15 7 15 26 23 12 20 28 25 18 23 34 28 21 25 36 30 20 15 28 18 26 28 34 36 40 Adjusted Seasonal Index 0.924 1.353 1.108 0.616 0.924 1.353 1.108 0.616 0.924 1.353 1.108 0.616 0.924 1.353 1.108 0.616 0.924 1.353 1.108 0.616 0.924 1.353 1.108 0.616 10 0.924 15 23 25 28 30 35 Quarter 4 Deseasonalized Sales 6.076 X 13.867 x 4 ] D J 1 7 12 18 21 20 27 Total Yearly Sales 36 50 76 91 106 111 130
The data in the accompanying stem-and-leaf plot summarizes the total deposits (in hundreds of millions of dollars) for savings institutions in a particular state. Answer parts (a) through (c) below. Stem Leaves Stem Leaves Stem Leaves 122444 2 5788 5678899 3 12 5 1123444 4 1 777 4. 78 Units: 615 = $65 hundred million ($6.5 billion) ..... Right Skewed Normal Uniform Left Skewed (b) How many savings institutions had total deposits in the 30 hundred millions? There were 2 savings institution(s) that had total deposits in the 30 hundred millions. (c) How many savings institutions had deposits above $40 hundred million? There were 3 savings institution(s) that had total deposits above $40 hundred million. 3.
Assume these are the stock market and Treasury bill returns for a 5-year period: Year Stock Market Return (%) T-Bill Return (%) 2016 13.0 0.2 2017 21.0 0.8 2018 -6.2 1.8 2019 29.8 2.1 2020 20.6 0.4 Required: What was the risk premium on common stock in each year? What was the average risk premium? What was the standard deviation of the risk premium? (Ignore that the estimation is from a sample of data.) -- this needs to be expressed in %
5
A forecasting model was used to forecast a six-month period. Here are the forests and actual demands that resulted: Table ECI Month Actual Forecast Deviation RSFEIA-FI Sum AFI MAD April May 360 345 340 335 June 320 340 Part A. Based on the calculations from the table above, Complete table Eca (below) by recording the tracking Signal for each month. Table EC2 Month Ts April May June Part b. Write a statement Stating Whether you think the model being used is giving acuptabe answers or not.