t Table cum. prob t 90 t 95 t 99 two-tails 0.10 0.05 0.01 df 1 6.314 12.71 63.66 2 2.920 4.303 9.925 2.353 3.182 5.841 4 2.132 2.776 4.604 2.015 2.571 4.032 6. 1.943 2.447 3.707 7 1.895 2.365 3.499 8...


Steps in a Z Test


t Table<br>cum. prob<br>t 90<br>t 95<br>t 99<br>two-tails<br>0.10<br>0.05<br>0.01<br>df<br>1<br>6.314<br>12.71<br>63.66<br>2<br>2.920<br>4.303<br>9.925<br>2.353<br>3.182<br>5.841<br>4<br>2.132<br>2.776<br>4.604<br>2.015<br>2.571<br>4.032<br>6.<br>1.943<br>2.447<br>3.707<br>7<br>1.895<br>2.365<br>3.499<br>8<br>1.860<br>2.306<br>3.355<br>9<br>1.833<br>2.262<br>3.250<br>10<br>1.812<br>2.228<br>3.169<br>11<br>1.796<br>2.201<br>3.106<br>12<br>1.782<br>2.179<br>3.055<br>13<br>1.771<br>2.160<br>3.012<br>14<br>1.761<br>2.145<br>2.977<br>15<br>1.753<br>2.131<br>2.947<br>16<br>1.746<br>2.120<br>2.921<br>17<br>1.740<br>2.110<br>2.898<br>18<br>1.734<br>2.101<br>2.878<br>19<br>1.729<br>2.093<br>2.861<br>20<br>1.725<br>2.086<br>2.845<br>21<br>1.721<br>2.080<br>2.831<br>22<br>1.717<br>2.074<br>2.819<br>23<br>1.714<br>2.069<br>2.807<br>24<br>1.711<br>2.064<br>2.797<br>25<br>1.708<br>2.060<br>2.787<br>26<br>1.706<br>2.056<br>2.779<br>27<br>1.703<br>2.052<br>2.771<br>28<br>1.701<br>2.048<br>2.763<br>29<br>1.699<br>2.045<br>2.756<br>30<br>1.697<br>2.042<br>2.750<br>32<br>1.694<br>2.037<br>2.738<br>34<br>1.691<br>2.032<br>2.728<br>36<br>1.688<br>2.028<br>2.719<br>38<br>1.696<br>2.024<br>2.712<br>40<br>1.684<br>2.021<br>2.704<br>42<br>1.682<br>2.018<br>2.698<br>44<br>1.680<br>2.015<br>2.692<br>46<br>1.679<br>2.013<br>2.687<br>48<br>1.677<br>2.011<br>2.682<br>50<br>1.676<br>2.009<br>2.678<br>60<br>1.671<br>2.000<br>2.660<br>80<br>1.664<br>1.990<br>2.639<br>100<br>1.660<br>1.984<br>2.626<br>120<br>1.658<br>1.980<br>2.617<br>1000<br>1.646<br>1.962<br>2.581<br>1.645<br>1.960<br>2.576<br>90%<br>95%<br>99%<br>Confidence Level<br>

Extracted text: t Table cum. prob t 90 t 95 t 99 two-tails 0.10 0.05 0.01 df 1 6.314 12.71 63.66 2 2.920 4.303 9.925 2.353 3.182 5.841 4 2.132 2.776 4.604 2.015 2.571 4.032 6. 1.943 2.447 3.707 7 1.895 2.365 3.499 8 1.860 2.306 3.355 9 1.833 2.262 3.250 10 1.812 2.228 3.169 11 1.796 2.201 3.106 12 1.782 2.179 3.055 13 1.771 2.160 3.012 14 1.761 2.145 2.977 15 1.753 2.131 2.947 16 1.746 2.120 2.921 17 1.740 2.110 2.898 18 1.734 2.101 2.878 19 1.729 2.093 2.861 20 1.725 2.086 2.845 21 1.721 2.080 2.831 22 1.717 2.074 2.819 23 1.714 2.069 2.807 24 1.711 2.064 2.797 25 1.708 2.060 2.787 26 1.706 2.056 2.779 27 1.703 2.052 2.771 28 1.701 2.048 2.763 29 1.699 2.045 2.756 30 1.697 2.042 2.750 32 1.694 2.037 2.738 34 1.691 2.032 2.728 36 1.688 2.028 2.719 38 1.696 2.024 2.712 40 1.684 2.021 2.704 42 1.682 2.018 2.698 44 1.680 2.015 2.692 46 1.679 2.013 2.687 48 1.677 2.011 2.682 50 1.676 2.009 2.678 60 1.671 2.000 2.660 80 1.664 1.990 2.639 100 1.660 1.984 2.626 120 1.658 1.980 2.617 1000 1.646 1.962 2.581 1.645 1.960 2.576 90% 95% 99% Confidence Level
Steps in a Z Test<br>Step 1: Determine the Null and Alternative Hypothesis<br>Ho: μ=<br>or M1-M2 = 0<br>Ha: H #<br>or M1-M2 # 0<br>Step 2: Two-tailed, Step 3: Select significant level, a<br>Step 4: Z test<br>Step 5: Find the critical value and determine if Zobt is in the “reject

Extracted text: Steps in a Z Test Step 1: Determine the Null and Alternative Hypothesis Ho: μ= or M1-M2 = 0 Ha: H # or M1-M2 # 0 Step 2: Two-tailed, Step 3: Select significant level, a Step 4: Z test Step 5: Find the critical value and determine if Zobt is in the “reject" or "fail to reject" region. Draw and label the graph. Level of Confidence Fail to Reject Reject Reject a/2 a/2 Zcrit =- Zcrit = Label the following: *a = 1- Confidence Level *oa/2=area of each tail *Zcrit Table Confidence Level (CL) a = 1 - CL Zcrit 90% ( 0.90 ) 1 - .90 = 0.10 ±1.645 95% ( 0.95 ) +1.960 ±2.576 Step 6: Calculate the Test statistics (Zobt) N= X = Calculate. Zobt 0/VN Step 7- 9: State the conclusion: There is statistically significant difference between the two means if the Null hypothesis rejected OR there is NO statistically significant difference between the two means if the Null hypothesis is not rejected (failed to be rejected).
Jun 02, 2022
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