1. Calculate descriptive statistics for all of the quantitative variables. 2. For your data scenario, write the null hyp

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1. Calculate descriptive statistics for all of the quantitativevariables.2. For your data scenario, write the null hypothesis in words (notsymbols) for each of thefollowing questions:
a. Was there a change in the number of customers an associatemet with between June and July?b. The company that provided the Training course promised that 25%of trained associate wouldbe have exceptional months of sales, defined as 20 sales or more.The CEO is skeptical andwants evidence before requiring all sales persons to get thetraining. Investigate this issue.c. Given wages and other expenses, a sales associate needs to sell$27500 each month to beprofitable for the company. Is there conclusive evidence that theaverage associate wasprofitable in June?3a, 3b, 3c. Write null and alternative hypotheses in symbols foreach of the questions or studiesin step 2a, 2b, and 2c.4a, 4b, 4c. Conduct each test. For each test, report the samplemean(s) or sample proportion(s),the sample size(s), standard error, test statistic, andp-value.5a, 5b, 5c. Write a two to three sentence summary of each testresult with a recommended actionfor an appropriate audience.

1 Calculate Descriptive Statistics For All Of The Quantitative Variables 2 For Your Data Scenario Write The Null Hyp 1 (98.98 KiB) Viewed 43 times

A E G H 1 Associatel JuneCusto June# Sale June$Sale JulyCustor July# Sales July$Sales Region 2 001 16 10 18 28 10 27 11 26 18 31 23 30 16 31 29 50387 13 23 30361 20 14 29202 34 29 46278 19 23 24 40025 36416 24 12 21 30779 23 25 18070 20 18 24114 21 17 18991 20 12 10664 9 18 16736 31 20 24190 19 18 25380 26 9164 12 22570 11 24150 19 25413 12 14184 7520 60944 20800 15774 3 003 4 1004 5 005 6 006 7 007 8 008 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 018 17 019 18 020 19 022 20 023 21 025 22 026 23 030 24 (031 25 032 26 033 27 034 28 035 29 037 30 038 31 040 32 012 38 46 20 25 23 29 33 36 30 30 37 36 36 31 38 39 34 39 23 30 31 26 23 32 38 28 16 40 25 29 22 8 8 7 31 16 21 26 16676 32914 8720 19222 36390 34889 20336 20171 34 53 32 48 34 52 51 35 23 42 42 39 30 34 27 52 33 29 42 47 33 35 36 33 33 40 18 21 36 31 22 23 14 21 16 13 10 20 22 6094 S 55566 S 33024 S 24810 S 61298 S 31600 S 58938 S 29916 E 22710 W 39016 S 38356 E 25062 S 17636 W 22531 W 20280 N 25822 E 25430 S 10899 S 29062 S 25360 S 36770 S 25382 S 23442 W 47923 W 25726 S 33394 W 31514 N 24049 W 23920 N 32280 N 21017 S JuneTraining? Y N Y Y Y Y Y Y Y Y Y Y Y Y N Y IN N N N N Y N N Y Y Y Y Y Y V 1 M Evaluations of Sales Associates at an Industrial Machinery Wholesaler R AssociateID = Sales associate's company identification number JuneCustomers = Number of customers associate met with during June June#Sales = Number of sales placed by associate during June June$Sales = Total amount, in dollars, of associate's sales during June JulyCustomers = Number of customers associate met with during July July#Sales = Number of sales placed by associate during July July$Sales = Total amount, in dollars, of associate's sales during July Region = Location of Employee's Store: North, South, East, or West June Training = Whether or not associate completed a sales training program at the end of June

A 31 040 32 042 33 044 34 046 35 048 36 049 37 051 38 052 39 055 40 056 41 057 42 058 43 060 44 061 45 062 46 064 47 065 48 067 49 068 50 069 51 072 52 074 53 075 54 076 55 079 56 080 57 083 58 084 59 085 60 086 61 B 29 32 41 43 34 33 20 34 24 31 43 25 36 30 46 19 21 29 52 22 20 22 30 23 42 26 35 34 31 30 с 15774 26 38174 32 52494 16 26168 12 12294 21 19493 16 21600 21 31452 12 8682 25 37895 32 56454 15 15895 14 26840 18506 22 27118 15 20400 17 21283 10 15510 30 43730 11 16925 15279 18355 24 29764 18 10670 30 40680 21 33389 16 23868 27 29159 11 11519 11 17892 21 8 11 5 E 31 42 39 43 32 33 28 54 36 21 34 28 42 25 38 41 37 38 44 38 34 28 39 49 46 23 37 39 38 48 F 20 23 16 35 16 28 22 29 16 19 25 22 29 9 27 36 15 28 33 24 14 16 32 37 33 21 27 32 21 19 G 32280 N 34917 S 29442 W 36950 E 23780 W 34818 S 33044 N 37673 S 26946 S 31350 N 45305 E 39508 S 31389 W 6144 N 50283 W 47368 E 24300 N 48964 S 43513 S 35862 N 15600 W 22874 E 51294 S 38861 S 42788 E 30660 E 39705 W 33146 W 23385 S 30466 E H Y Y N Y Y Y N Y Y Y Y Y Y Y N Y Y N Y Y N N Y N N Y Y Y Y N