Job Satisfaction Very unsatisfied 5 Expected Observed 12 15 20 Somewhat unsatisfied Neutral 30 28 Somewhat 30 20 satisfied Very satisfied 20 20
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The attached table shows the expected and observed distribution of job satisfaction in a random sample of 100 full-time workers. Use this table to answer the following questions.
Conduct a hypothesis test to determine if the observed distribution of job satisfaction fits the expected distribution. Which of the following is the correct statement of the hypothesis?
A. Ho: the data does not fit the expected distribution
Ha: the data fits the expected distribution
B. Ho: the data is not skewed
Ha: the data is skewed
C. Ho: the data is not numerical
Ha: the data is numerical
D. Ho: the data fits the expected distribution
Ha: the data does not fit the expected distribution
2. The test statistic used to conduct this hypothesis test follows a:
A. z-distribution
B. t-distribution
C. f-distribution
D. Chi-squared distribution
3. What is the test statistic for the hypothesis test specified in question 1 equal to? Round to three decimal places.
4. What is the p-value for the hypothesis test specified in question 1 equal to? Round to four decimal points.
5. What is the correct decision for the hypothesis specified in question 1? Use a 5% level of significance
Reject Ho/Fail to reject Ho, there is evidence the data (does/does not) fit the expected distributed
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- question.Age (Years) Less than high school High school graduate Some college College Degreegraduate15 to 17 12,723 210 132 2918 to 34 9,655 19,231 25,444 17,49735 to 49 6,412 16,642 16,756 21,12550+ 13,693 34,110 26,461 29,899Figure 1 - 2013 U.S. population, in thousands, by age and educational attainment.Source: Census, U.S. Bureau of the CensusFind the probability that in the year 2013, a U.S. resident was a High school graduate. Writethe probability as a percent rounded to the nearest tenth.2Player RBI HR AVG Salary (in millions) Prince Fielder 44 8 0.212 18.000 Jean Segura 64 20 0.320 2.600 Logan Forsythe 52 20 0.264 2.750 Chris Iannetta 24 7 0.210 4.550 Adam Jones 83 29 0.265 16.000 Curtis Granderson 59 30 0.237 16.000 Jason Heyward 49 7 0.230 21.667 Hanley Ramirez 111 30 0.286 22.750 David Ortiz 127 38 0.315 16.000 Matt Wieters 66 17 0.243 15.800 Colby Rasmus 54 15 0.206 15.800 Rajai Davis 48 12 0.249 5.950 Mike Trout 100 29 0.315 16.083 Troy Tulowitzki 79 24 0.256 20.000 Justin Smoak 34 14 0.217 3.900 Adrian Beltre 104 32 0.300 18.000 Matt Holliday 62 20 0.246 17.000 Hunter Pence 57 13 0.289 18.500 Brian McCann 58 20 0.242 17.000 J.D. Martinez 68 22 0.307 6.750 Ryan Braun 91 31 0.305 20.000 Mark Teixeira 44 15 0.204 23.125 Victor Martinez 86 27 0.289 18.000 Justin Upton 87 31 0.246 22.125 Carlos Gonzalez 100 25 0.298 17.454 Determine the correlation coefficient. (Round your answer to 4 decimal places.) Find the…WAGE EDUC EXPER AGE GENDER RACE 1345 6 2 38 0 1 2435 4 18 52 1 1 1715 6 4 45 1 1 1461 6 4 58 1 1 1639 9 3 30 1 0 1345 5 8 43 0 1 1602 7 6 30 0 1 1144 4 3 33 0 0 1566 6 23 51 1 0 1496 4 15 37 1 1 1234 4 9 45 0 0 1345 6 3 55 0 1 1345 5 14 57 0 1 3389 9 16 36 1 1 1839 4 20 60 1 1 981 4 5 35 1 0 1345 9 10 34 0 1 1566 5 4 28 0 0 1187 6 1 25 0 1 1345 7 10 43 0 1 1345 9 2 42 0 1 2167 4 17 47 1 0 1402 11 2 46 1 1 2115 4 15 52 1 0 2218 8 11 64 1 1 3575 11 1 39 1 1 1972 4 1 39 1 1 1234 4 2 40 0 1 1926 5 9 53 1 0 2165 6 15 59 0 1 2365 6 12 35 0 0 1345 9 5 45 0 1 1839 4 14 37 0 0 2613 5 14 37 1 1 2533 11 3 43 1 1 1602 8 5 32 0 1 1839 9 18 40 0 1 2218 7 1 49 1 1 1529 4 10 43 0 0 1461 1 10 31 1 0 3307 9 22 45 1 1 3833 11 3 31 1 1 1839 4 14 55 1 0 1461 6 5 30 0 1 1433 9 3 28 1 0 2115 6 15 60 0 0 1839 4 13 32 1 0 1288 4 9 58 1 0 1288 6 4 29 0 0
- The table below gives some comparative data for two dates in February of 2021. Date World Cases World Deaths US cases US deaths OR cases OR deaths Feb 24, 2021 378745 8384 74128 3210 424 33 Feb 25, 2021 461058 11493 77803 2465 512 10 fill in the blank. The number of deaths in Oregon (increased or decreased) by _______ cases. That is a _____% ( increase or decrease)The table below shows the number of individuals infected with a disease t days after its first detected by the CDC. Days Infected Individuals 1 2 678 722 3 756 4 825 5 7 6 882 945 1017 8 11044 Student Resource C Clever | Portal Assessment ** Dashboard CCR Math 7 - Wh encase.te21.com/Assessment/View/23e8ea9e-1813-43c2-8408-515f608e2d70/71c39ccO-116d-44a3-bbca-9777e4b44a0d CHCASE Dashboard RETAKE 7th Grade 3rd term Common Assessment # 1 Section 1 7 of 18 A cell phone provider charges Felicia $50 per month for her plan plus $0.05 per minute of long-distance calls. If Felicia wants to keep her bill under $55, which inequality should she solve to determine, m, the number of minutes of long distance calls she can make? Om (50 + 0.05) < 55 Om (50 + 0.05) < 55 O 50 + 0.05m < 55 O 50 + 0.05m < 55 Copyright ©2021 Certica Solutions, Inc. https://encase.te21.com/Assessment/View/23e8ea9e-1813-43c2-8408-515f608e2d70/71c39ccO-116d-44a3-bbca-9777e4b44a0d#
- The following table indicates the unit prices (in Rands) and quantities of three intermediate products consumed by a car factory in Silverton, Pretoria, for the months of March and May of 2024. Product MARCH 2024 MAY 2024 Unit Price (p0) Quantity (q0)) Unit Price (p1) Quantity (q1) Door handles R333.70 4020 R335.70 4235 Wheels R2017.00 9120 R2029.40 8910 Mirror Switches R61.50 7150 R62.70 7100 Q.2.1 Using March 2024 as the base period, compute the quantity relatives in May 2024 for door handles and wheels. Interpret your answers. Q.2.2 Using March 2024 as the base period, compute the Paasche price index for all of the products for May 2024. Interpret your answer. Q.2.3 Using March 2024 as the base period, compute the Laspeyres price index for all of the products for May 2024. Interpret your answer.A realty company wants to create a linear model that will estimate the selling price of homes as a function of family. There is particular concern for obtaining the most efficient estimate of the relationship between income and house price. The company has collected data on their sales experience over the past years, and the data are contained in the attached table. Complete parts a though d below. Click the icon to view the data. Click the icon to view the upper critical values of the chi-square distribution. a. Estimate the regression of house price on family income. House Price = +2.35 (Family Income) (Round to two decimal places as needed.)Sex is an example of a categorial variable. True/false Age is an example of a categorial variable. true/false
- The data in the table represent the number of licensed drivers in various age groups and the number of fatal accidents within the age group by gender. Complete parts (a) through (c) below. Click the icon to view the data table. C (a) Find the least-squares regression line for males treating the number of licensed drivers as the explanatory variable, x, and the number of fatal crashes, y, as the response variable. Repeat this procedure for females. Find the least-squares regression line for males. ŷ=x+ (Round the x coefficient to three decimal places as needed. Round the constant to the nearest integer as needed.)Help Please!Major League Baseball (MLB) consists of teams that play in the American League and the National League. MLB collects a wide variety of team and player statistics. Some of the statistics often used to evaluate pitching performance are as follows: ERA: The average number of earned runs given up by the pitcher per nine innings. An earned run is any run that the opponent scores off a particular pitcher except for runs scored as a result of errors. So/IP: The average number of strikeouts per inning pitched. • HR/IP: The average number of home runs per inning pitched. • R/IP: The number of runs given up per inning pitched. The following data show values for these statistics for a random sample of 20 pitchers from the American League for a season. Player Team ERA SO/IP HR/IP R/IP Verlander, J DET 24 2.39 1.01 0.10 0.30 Beckett, J BOS 13 7 2.90 0.91 0.10 0.34 Wilson, C TEX 16 7 2.95 0.92 0.06 0.39 Sabathia, C NYY 19 8 3.00 0.98 0.08 0.37 Haren, D LAA 16 10 3.18 0.82 0.07 0.38 McCarthy, B OAK 9…