Question: It is claimed that average highest monthly maximum precipitation is 28 millimeters (EXMP=280). Test this claim using a hypothesis test at 1% level of significance.

It is claimed that average highest monthly maximum precipitation is 28 millimeters (EXMP=280). Test this claim using a hypothesis test at 1% level of significance. In order to preform the function you need to make the appropriate modifications to the provided script.

I NEED TO INPUT THE NULL_VALUE AND ALTERNATIVE. THOSE ARE THE ANSWERS I NEED PLEASE.

It is claimed that average highest monthly maximum precipitation is 28 millimeters

It is claimed that average highest monthly maximum precipitation is 28 millimeters (EXMP-280). Tear this claim using a hypothesis test at 1 % level of significance. In order to perform this function, you need to make the appropriate modifications to the provided script. In other words you should I need to input the NULL_HYPOTHESIS AND ALTERNATIVE HYPOTHESIS THOSE ARE THE ANSWERS I NEED PLEASE. Part I: Hypothesis Testing (Scenario A) Step 7: Perform hypothesis test for population mean It is claimed that average highest monthly maximum precipitation is 28 r (EMP:280). Test this claim using a hypothesis test at 1% level of order to perform this function, you need to make the appropriate modification the provided script. In other words, you should Uncomsent lines 131 139 Replace ??7DATASET NAME??? with manchesterweather Replace *777VARIABLE NAME??2" with the variable ENXP Replace ??7NULL _VALUE??7 with the appropriate value for the null hypothesis Replace 722TEST TYPE???" with the appropriate alternative hypothesis Part l: Hypothesis Testing (Scenario A) in Milestone1 py file perform the appropriate hypothesis tests for variables EMXT and EMXP Larger print (prop_1samp_ztest(x, n, null value, alternativ print (") ##Step 7: Perform hypothesis test for population mea print ('Hypothesis Test Step 7') n manchesterweather[['EMXP ]].count() df n -1 mean manchesterweather[['EMXP']] .mean() std-dev = manchesterweather [L'EMXP, ]].std() null-value 2.8 alternative'larger' print (means 1samp_ttest(mean, std_dev, n, null value, print (" It is claimed that average highest monthly maximum precipitation is 28 millimeters (EXMP-280). Tear this claim using a hypothesis test at 1 % level of significance. In order to perform this function, you need to make the appropriate modifications to the provided script. In other words you should I need to input the NULL_HYPOTHESIS AND ALTERNATIVE HYPOTHESIS THOSE ARE THE ANSWERS I NEED PLEASE. Part I: Hypothesis Testing (Scenario A) Step 7: Perform hypothesis test for population mean It is claimed that average highest monthly maximum precipitation is 28 r (EMP:280). Test this claim using a hypothesis test at 1% level of order to perform this function, you need to make the appropriate modification the provided script. In other words, you should Uncomsent lines 131 139 Replace ??7DATASET NAME??? with manchesterweather Replace *777VARIABLE NAME??2" with the variable ENXP Replace ??7NULL _VALUE??7 with the appropriate value for the null hypothesis Replace 722TEST TYPE???" with the appropriate alternative hypothesis Part l: Hypothesis Testing (Scenario A) in Milestone1 py file perform the appropriate hypothesis tests for variables EMXT and EMXP Larger print (prop_1samp_ztest(x, n, null value, alternativ print (") ##Step 7: Perform hypothesis test for population mea print ('Hypothesis Test Step 7') n manchesterweather[['EMXP ]].count() df n -1 mean manchesterweather[['EMXP']] .mean() std-dev = manchesterweather [L'EMXP, ]].std() null-value 2.8 alternative'larger' print (means 1samp_ttest(mean, std_dev, n, null value, print (

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