Unemployment rate of male and female are given below
Male Y 2.9 6.7 4.9 7.9 9.8 6.9 6.01 6.2 6 5.1 4.7 4.4 5.8
Female X 4 7.4 5 7.2 7.9 6.1 6 5.8 5.2 4.2 4 4.4 5.2
Summary
∑Y ∑X. ∑Y2 ∑X2 ∑XY
77.31 72.4. 495.03 423.94 455.03
Calculate i) Regression line y on x
ii) Coefficient of correlation
iii) Interpret the values a, b & r
iv) Test the significance of ‘r’ at 5% level of significance
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Parametirc test or not:Test statistic:p-value:decision:Is There A Difference Between the Means?6.7 6.2 3.1 310.3 10 5 5.56.9 5.5 3.3 3.110.5 6.3 4.3 5.44.5 4.6 1.8 25.6 5.6 2 2.65.9 6.1 2.1 2.58 11.7 4 4.68 7.4 3.3 3.15.8 5.2 3.1 2.96 7.3 3.0 3.28.7 5.3 2.7 36 5.5 2.1 2.27.2 6.3 3.5 3.25.9 4.6 2.9 3.46 7.4 3 3.37.2 7.8 3.7 3.48.6 9.4 5.1 5.77.2 8.1 2.8 3.15.8 5.4 2.2 1.83.3 4 1.7 1.86.8 5.1 2 1.83.7 3.5 2.2 2.112...
1. The numbers below represent heights (in feet) of 3-year old elm trees. 5.1, 5.5, 5.8, 6.1, 6.2, 6.4, 6.7, 6.8, 6.9, 7.0, 7.2, 7.3, 7.3, 7.4, 7.5, 7.7, 7.9, 8.1, 8.1, 8.2, 8.3, 8.5, 8.6, 8.6, 8.7, 8.7, 8.9, 8.9, 9.0, 9.1, 9.3, 9.4, 9.6, 9.8, 10.0, 10.2, 10.2 Using the chi-square goodness-of-fit test, determine whether the heights of 3-year old elm trees are normally distributed, at the a = .05 significance level. Also, find the p- value.
n the table below, earthquake magnitudes are given for any
region for the last 100 years. Convert each value in this table to
your own values to get a new table.
your new values
A) frequency table and create histogram find
B)standard deviation, find values
C) ,%variation coefficients find values
D) mode and median find values
use the formula below for conversion
Mnew=M-log10(N)
N=33
please show which item you solved when solving
Sample (A B C D)
single digit after...
The data on the below shows the number of hours a particular drug is in the system of 200 females. Develop a histogram of this data according to the following intervals: Follow the directions. Test the hypothesis that these data are distributed exponentially. Determine the test statistic. Round to two decimal places. (sort the data first) [0, 3) [3, 6) [6, 9) [9, 12) [12, 18) [18, 24) [24, infinity) 34.7 11.8 10 7.8 2.8 20 9.8 20.4 1.2 7.2...
A comparison was made of the average length of stay (in days) for the years 2000, 2005, 2010, and 2015 between males and females (ages 45–64) for seven diagnoses. The data indicates: 2000 2005 2010 2015 Males: Malignant Neoplasm 9.2 9.4 8.2 7.0 Diabetes Mellitus 7.9 7.3 6.6 6.5 Diseases of the Heart 6.5 5.8 5.0 4.8 Cerebrovascular disease 10.2 10.0 6.2 6.8 Pneumonia 8.0 7.9 7.2 6.9 Injuries and poisoning 6.6 7.2 5.8 5.5 Fractures 7.5 7.2 6.7 6.3...
A comparison was made of the average length of stay (in days) for the years 2000, 2005, 2010, and 2015 between males and females (ages 45–64) for seven diagnoses. The data indicates: 2000 2005 2010 2015 Males: Malignant Neoplasm 9.2 9.4 8.2 7.0 Diabetes Mellitus 7.9 7.3 6.6 6.5 Diseases of the Heart 6.5 5.8 5.0 4.8 Cerebrovascular disease 10.2 10.0 6.2 6.8 Pneumonia 8.0 7.9 7.2 6.9 Injuries and poisoning 6.6 7.2 5.8 5.5 Fractures 7.5 7.2 6.7 6.3...
The following table shows the inflation rate and unemployment rate, both in percent, for the years 1981-2008. We will investigate some methods for predicting unemployment. 4.4 X (L1) y (L2) Year Inflation Unemployment 1981 8.9 7.6 1982 3.8 9.7 1983 3.8 9.6 1984 3.9 7.5 1985 3.8 7.2 1986 1.1 7 1987 6.2 1988 4.4 5.5 1989 4.6 5.3 1990 6.1 5.6 1991 3.1 6.8 1992 2.9 7.5 1993 2.7 6.9 1994 2.7 6.1 1995 2.5 5.6 1996 5.4 1997...
Saved 2023 A sample of 100 bank customer waiting times are given in the following table: Waiting Times (in Minutes) for the Bank Custoner Waiting Tine Case 4.5 9.7 11.8 10.4 4.2 7.e 5.5 8.7 8.8 5.1 5.4 4.5 6.2 3.9 8.7 7.6 4.7 4.0 4.0 10.1 .3 2.8 5.4 6.5 9.7 5.2 7.0 5.8 4.5 8.2 1.9 5.2 4.1 7.9 5.3 8.8 6.2 4.1 4.1 4.5 10.4 .2 7.0 6.8 5.5 8.3 11.3 5.9 8.8 2.8 6.7 5.5 5.e...
5.6 Year 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 x (L1) y (L2) Inflation Unemployment 8.9 7.6 3.8 9.7 3.8 9.6 3.9 7.5 3.8 7.2 1.1 7 4.4 6.2 4.4 5.5 4.6 5.3 6.1 3.1 6.8 2.9 7.5 2.7 6.9 2.7 6.1 2.5 5.6 3.3 5.4 1.7 4.9 1.6 4.5 2.7 4.2 4 1.6 4.7 2.4 5.8 1.9 6...
An object of weight 1 N is falling vertically. The time vs. speed data can be found here. In this case the effect of air-drag cannot be neglected. Use your critical thinking to estimate the air-drag coefficient . Make sure you include the units in your answer. 0 0 0.1 0.9992 0.2 1.993 0.3 2.978 0.4 3.948 0.5 4.898 0.6 5.826 0.7 6.728 0.8 7.599 0.9 8.438 1 9.242 1.1 10.01 1.2 10.74 1.3 11.43 1.4 12.09 1.5 12.7 1.6 ...