Once we have a x? value we need to determine if it is statistically significant. This is accomplishedusing a x table (see table below). The values inside the table represent calculated x values. BeforeFor Educational Purposes OnlySLSU-TO/NCMatondo10we can either accept or reject the null hypothesis, we need to determine our alpha (P-value) anddegrees of freedom (df). P-values can be interpreted in multiple ways. For example, suppose weobtained a x? of 0.016 with 1 df. Based on the table, random chance alone would produce a x² valuegreater than 0.016 over 90% of the time (see bold square in table). In most statistical hypothesistesting we adopt an alpha (P-value) of 0.05 or 5%. Examining the table, with 1 df we would need a x? 3.841 (known as the critical value) in order to reject the null hypothesis of no significant differencebetween observed and expected values. Degrees of freedom is obtained by subtracting 1 from thetotal number of categories (n – 1). For example, in our cards example df = 3.Chi-Square TableTable S-2Critical Values of thex2 Diseribution00a016 046S 270630411.36 405 59917.378 9210 10597 20072 0216 0504 2366 6251 7015 9349 11345 120e 3a207 044 1064357 7.79 94 11.143 13277 140 4D412 0831 1810419236 11.070 12832 15.06 16.750 5DE76 1237 2.204OP09 1490 20301344 2.100 34901.735 2.700 4,1685.348 10645 12592 14449 16812 18548 e6.346 12017 14067 16013 10475 2027077.44 12 15s07 1755 2000 21SE8.343 144 16.919 19023 21 23se 99342 157 10.307 20403 2209 25100 10102156 3247 4062.603 3016 5570 1041 17275 19675 21.920 24725 26757 11074 4404 6.304 11340 18549 21.024 23.337 2217 2800 1211121335e5 S009 7012 12340 19012 22362 24.736 2760 29019 194.075 S629 7.790 13339 21064 236s 26.119 29.141 31319 144.601 6242 8547 14339 22.307 24996 27488 30578 32801 1514Working in groups of two, perform six x² analyses using the data from the tables above. Whatcan you conclude from your analysis?

Question

Once we have a x? value we need to determine if it is statistically significant. This is accomplishedusing a x table (see table below). The values inside the table represent calculated x values. BeforeFor Educational Purposes OnlySLSU-TO/NCMatondo10we can either accept or reject the null hypothesis, we need to determine our alpha (P-value) anddegrees of freedom (df). P-values can be interpreted in multiple ways. For example, suppose weobtained a x? of 0.016 with 1 df. Based on the table, random chance alone would produce a x² valuegreater than 0.016 over 90% of the time (see bold square in table). In most statistical hypothesistesting we adopt an alpha (P-value) of 0.05 or 5%. Examining the table, with 1 df we would need a x?> 3.841 (known as the critical value) in order to reject the null hypothesis of no significant differencebetween observed and expected values. Degrees of freedom is obtained by subtracting 1 from thetotal number of categories (n – 1). For example, in our cards example df = 3.Chi-Square TableTable S-2Critical Values of thex2 Diseribution00a016 046S 270630411.36 405 59917.378 9210 10597 20072 0216 0504 2366 6251 7015 9349 11345 120e 3a207 044 1064357 7.79 94 11.143 13277 140 4D412 0831 1810419236 11.070 12832 15.06 16.750 5DE76 1237 2.204OP09 1490 20301344 2.100 34901.735 2.700 4,1685.348 10645 12592 14449 16812 18548 e6.346 12017 14067 16013 10475 2027077.44 12 15s07 1755 2000 21SE8.343 144 16.919 19023 21 23se 99342 157 10.307 20403 2209 25100 10102156 3247 4062.603 3016 5570 1041 17275 19675 21.920 24725 26757 11074 4404 6.304 11340 18549 21.024 23.337 2217 2800 1211121335e5 S009 7012 12340 19012 22362 24.736 2760 29019 194.075 S629 7.790 13339 21064 236s 26.119 29.141 31319 144.601 6242 8547 14339 22.307 24996 27488 30578 32801 1514Working in groups of two, perform six x² analyses using the data from the tables above. Whatcan you conclude from your analysis?

Accepted Answer

Let 'A' represents the variable from group 1
Let 'B' represents the variable from group 2
The…

Once we have a x value we need to determine if it is statistically significant. This is accomplished using a x table (see table below). The values inside the table represent calculated x² values. Before