消費水平內部因素的五大問題,以及每個問題圖

發布時間:2019-11-14 20:11
 B. Internal factors
內部因素
Issue 1: “Do Loyalty customers purchase more than Regular customers by more than $10?”
問題1:“忠實客戶會比普通客戶多花10美元購買更多的商品嗎?”
  1. Charts and Graphs
圖表和圖形
 
  1. Descriptive Statistic
描述性統計

  1. Hypothesis Testing 
假設檢驗
The Hypothesis are :
Ho :Loyalty  customers  purchased  more  than  regular  customer  by  no  more   or equal than $10 – Ho:  µL - µr  ≤ $10 
忠實顧客購買大于常客少于或等于10美元
Ha : Loyalty customers purchased more than regular customer by more than $10
- Ha:  µL - µr > $10
忠實顧客購買大于常客多于10美元
The Excel Output  Excels輸出

 Conclusion 
結論
With the assumption with the populations are normally distributed and the population variances are equal, the p -value for the test is 0.0003, which is much lower than the significance level of 0.05. Therefore, the null hypothesis is rejected and it can be concluded that there is sufficient evidence to suggest that loyalty customers are purchasing more than regular customers by no more or equal than $10.
 假設人口是正態分布,總體方差是公平的,測試的p值是0.0003,遠低于0.05的顯著性水平。因此,零假設被拒絕,可以有足夠的證據表明得出的結論是,忠實顧客比普通顧客購買更多不大于于或等于10美元。
Issue 2 :  “Between customers who pay with credit cards and customers paying in cash, who tend to purchase more items?”
問題2:“在用信用卡支付和現金支付的客戶直接,哪個傾向購買更多的商品?”
a.   Charts and Graphs
 
  1. Descriptive Statistics
描述性統計

c.   Hypothesis Testing
 The Hypothesis are :
Ho: Customers who pay with Credit Cards purchased fewer or equal items than customers paying by Cash - Ho:  µCC - µC ≤ 0 
Ha: Customers who pay with Credit Cards purchased more items than customers paying by Cash - Ha:  µCC  - µC > 0
 The Excel Output 

 Conclusion 
With the assumption with the populations are normally distributed and the population
variances are equal, the p -value for the test is 0.2089,  which is much greater than the significance level of 0.05. Thus, the null hypothesis is not rejected and it can be concluded that there is no enough evidence to suggest that customers who pay by Credit Cards purchased more than customers paying by Cash.
結論
與假設通常與人口分布和人口方差相等,測試的p值是0.2089,這是遠遠大于0.05的顯著性水平。因此,零假設不被拒絕,可以得出的結論是沒有足夠的證據表明,通過信用卡支付的客戶超過用現金支付的客戶。
 Issue 3 : “Who tend to spend more money each transaction? Male or Female?”
問題3:“每一筆交易誰往往要花費更多的錢嗎?男性或者女性?“
a.   Charts and Graph
  圖表和圖形
  1. Descriptive Statistics
c.   Hypothesis Testing
  The Hypothesis are :
Ho : Female  customers  spend  less   or  equal  amount  of  money  than  Male customers  Ho:  µFM - µM ≤ 0 
Ha:   Female customers spend more amount of money than Male customers  
Ha:  µFM - µM > 0
 The Excel Output 

Conclusion
結論
With the assumption with the populations are normally distributed and the population variances are equal, the p-value for the test is 3.87508E-06, which is much lower than the significance level of 0.05. As a result, the null hypothesis is rejected and it can be concluded that there is adequate evidence to suggest that female customers spend more amount of money per transaction than male customers. 
 假設人口是正態分布,總體方差相等,測試的p值是3.87508E-06,這是遠低于0.05的顯著性水平。其結果是,零假設被拒絕,有足夠的證據表明可以得出結論,每筆交易上女性客戶比男性客戶花更多的金錢。
Issue 4 : “Do Married customers purchase more items than Single customers?” 
問題4:“已婚客戶比單身客戶購買更多種類的商品嗎?”
a.   Charts and Graphs
 圖表和圖形
  1. Descriptive Statistic
c.   Hypothesis Testing
 ?  The Hypothesis are :
 Ho: Single customers purchased  fewer  or equal  items than Married customers
Ho:  µS - µM ≤ 0 
Ha : Single customers purchased more items than Married customers
 Ha:  µS - µM > 0 
?  The Excel Output 
Conclusion 
結論
With the assumption with the populations are normally distributed and the population variances are equal, the p -value for the test is 0.2845, which is much greater than the significance level of 0.05. Consequently, the null hypothesis is not rejected and it can be concluded that there is no sufficient evidence to suggest that Single customers purchase more number of items than Married customers.
假設人口是正態分布,人口總體方差相等,測試的p值是0.2845,這是遠遠大于0.05的顯著性水平。因此,零假設不被拒絕,可以得出的結論是沒有足夠的證據表明,單身客戶比已婚客戶購買更多件的商品。
Issue 5 : “Do Female customers purchase more items than Male customers?”
問題5:“女性消費者會比男性消費者購買更多見商品嗎?”
a.   Charts and Graphs
   
 Descriptive Statistic

c.   Hypothesis Testing 
 ?  The Hypothesis are :
Ho:  Female  customers  purchased  less  or  equal  number  of  items  than  Male
customers - Ho:  µF - µM ≤ 0 
Ha:  Female  customers  bought  more  number  of  items  than  customers  who  are 
Male  - Ha:  µF - µM > 0
 The Excel Output 
Conclusion 
    結論
With the assumption with the populations are normally distributed and the population variances  are equal, the  p -value for the test is 0.1314, which is much greater than the significance level  of 0.05. Therefore, the null hypothesis is not rejected and it can be concluded that there is  insufficient evidence to suggest that female customers tend to purchase more number of items than male.  
假設人口是正態分布,總體方差相等,測試的p值是0.1314,這是遠遠大于0.05的顯著性水平。因此,零假設不被拒絕,可以得出結論,沒有足夠的證據表明,女性消費者會比男性消費者傾向于購買更多數量的商品。
 
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