I'm unsure of how to solve this problem. I can't use excel. ### Study on Age and Job Pressure Among Sales Personnel#### Analysis OverviewA study was conducted to explore the relationship between the age of sales personnel and the level of job pressure they experience. This analysis seeks to determine if age is independent of the perceived job pressure.#### Data BreakdownThe data consists of the following age groups and their corresponding degrees of job pressure:| Age (years) | Low Pressure | Medium Pressure | High Pressure ||----------------|--------------|-----------------|---------------|| Less than 25 | 20 | 18 | 22 || 25 up to 40 | 50 | 46 | 44 || 40 up to 60 | 58 | 63 | 59 || 60 and older | 34 | 43 | 43 |#### Statistical AnalysisTo analyze whether age is independent of job pressure, an independent analysis should be performed at the 0.01 significance level. This involves statistical testing, often using methods like chi-square tests, to assess the independence between the categorical variables of age and job pressure levels.This analysis helps organizations understand if particular age groups are more susceptible to job pressure, which can influence training, support, and management strategies.

Name: I'm unsure of how to solve this problem. I can't use excel. ### Study
Uploaded: 2024-03-20T07:07:26.000Z
Channel: Bartleby
Description: I'm unsure of how to solve this problem. I can't use excel. ### Study on Age and Job Pressure Among Sales Personnel#### Analysis OverviewA study was conducted to explore the relationship between the age of sales personnel and the level of job pressur

age low medium high less than 25 20 18 22 25 up to 40 50 46 44 40 up to 60 58 63 59 60 and older 34 43 43 and we testing the hypothesis at 0.01 level of significanceage low medium high row total less than 25 20 18 22 60 25 up to 40 50 46 44 140 40 up to 60 58 63 59 180 60 and older 34 43 43 120 col. total 162 170 168 N=500 O E=(Row total*col.total)/N (O-E) (O-E)^2 (O-E)^2/E 20 19.44 0.56 0.3136 0.016132 50 45.36 4.64 21.5296 0.474638 58 58.32 -0.32 0.1024 0.001756 34 38.88 -4.88 23.8144 0.61251 18 20.4 -2.4 5.76 0.282353 46 47.6 -1.6 2.56 0.053782 63 61.2 1.8 3.24 0.052941 43 40.8 2.2 4.84 0.118627 22 20.16 1.84 3.3856 0.167937 44 47.04 -3.04 9.2416 0.196463 59 60.48 -1.48 2.1904 0.036217 43 40.32 2.68 7.1824 0.178135 TOTAL 2.19149 here our hypothesis is , H0:age and pressure are not relatedHa:age and pressure is related here α=0.01 and d.f.=(r-1)*(c-1)=(4-1)*(3-1)=3*2=6 by using chi square table critical value is χ2critic=χ2d.f.,α=χ26,0.01=16.8118 test statistic value is,χ2=∑O-E2Eχ2=2.19149 here χcal2<χcritic2 so our decision rule is, accept H0 at a 0.01 level of significance Hence we conclude that age and pressure are not related.