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US Census Bureau released the monthly retail values of different industries from January 1992 to August 2019. The retail file includes the details. Sales of two groups of retailers are aggregated:

Auto_Group_Total is the sum of monthly sales for motor vehicles and parts dealers, automotive and other motor vehicle dealers, automobile dealers, new car dealers, used car dealers, automotive parts, acc. And tire dealers.

Food and Beverage Stores is the sum of a monthly sales for food and beverage stores.

Do a Levene test to determine if the variances of the monthly sales of Auto_Group_Total for the first 4 months of the year (January through April every year) are significantly different. What is the P-Value of this test?

Group of answer choices

Between 0.01 and 0.05

0.2 or more, but less than 0.3

Less than or equal to 0.01

0.3 or more, but less than 0.4

0.4 or more

0.05 or more but less than 0.2

Question 12

Use Retail file. Do an ANOVA test to determine if the average monthly sales of the first four months of the year (January through April every year) for Auto_Group_Total are significantly different. Use 0.05 significance level.

Group of answer choices

The P-value of this test is less than 0.01. This is the evidence of significant difference among the means

The P-value of this test is between 0.01 and 0.05. This is the evidence of significant difference among the means

The P-value of this test is less than 0.01. This is not an evidence of significant difference among the means

The P-value of this test is between 0.01 and 0.05. This is not an evidence of significant difference among the means

The P-value of this test is more than 0.05. This is not an evidence of significant difference among the means

The P-value of this test is more than 0.05. This is the evidence of significant difference among the means

Question 13

Use Retail file. Do a Levene test to determine if the variances of the monthly sales of Food and Beverage Stores for the first 6 months of the year (January through June every year) are significantly different. What is the P-Value of this test?

Group of answer choices

0.05 or more but less than 0.2

0.4 or more

0.3 or more, but less than 0.4

Less than or equal to 0.01

0.2 or more, but less than 0.3

Between 0.01 and 0.05

Question 14

Use Retail file. Do an ANOVA test to determine if the average monthly sales of the first 6 months of the year (January through June every year) for Food and Beverage Stores are significantly different. Use 0.05 significance level.

Group of answer choices

The P-value of this test is less than 0.01. This is not an evidence of significant difference among the means

The P-value of this test is between 0.01 and 0.05. This is not an evidence of significant difference among the means

The P-value of this test is more than 0.05. This is the evidence of significant difference among the means

The P-value of this test is more than 0.05. This is not an evidence of significant difference among the means

The P-value of this test is between 0.01 and 0.05. This is the evidence of significant difference among the means

The P-value of this test is less than 0.01. This is the evidence of significant difference among the means

Question 15

Use Retail file. Do a Kruskal-Wallis test for the first 6 months of the year (January through June every year) for Food and Beverage Stores sales. What is the calculated H value of this test?

Group of answer choices

More than 9

Between 3 and 5

Between 1 and 3

Between 7 and 9

Between 5 and 7

A B D 1 Month Year Food and beverage stores Auto_Group_Total 2 1 1992 29589 111222 3 2 1992 28570 116496 4 3 1992 29682 130662 5 4 1992 30228 133330 6 5 1992 31677 135110 7 6 1992 30769 142374 8 7 1992 32402 139998 9 8 1992 31469 131150 10 9 1992 30162 133696 11 10 1992 31407 136632 12 11 1992 30388 120396 13 12 1992 34170 122608 14 1 1993 30039 120046 15 2 1993 28126 122302 16 3 1993 30455 146122 17 4 1993 30820 152410 18 5 1993 31891 152970 19 6 1993 31352 159770 20 7 1993 33029 159250 21 8 1993 31215 155020 22 9 1993 30622 149884 23 10 1993 31223 150320 24 11 1993 30803 145828 25 12 1993 34941 146162 26 1 1994 30251 137116 27 2 1994 28514 147196 28 3 1994 31920 182410 29 4 1994 31208 177130 30 5 1994 32215 175144 31 6 1994 32537 183164 32 7 1994 33288 169784 33 8 1994 32613 179958 34 9 1994 31860 173246 35 10 1994 31846 171936 36 11 1994 31915 162692 37 12 1994 36173 158706 A B D 1 Month Year Food and beverage stores Auto_Group_Total 2 1 1992 29589 111222 3 2 1992 28570 116496 4 3 1992 29682 130662 5 4 1992 30228 133330 6 5 1992 31677 135110 7 6 1992 30769 142374 8 7 1992 32402 139998 9 8 1992 31469 131150 10 9 1992 30162 133696 11 10 1992 31407 136632 12 11 1992 30388 120396 13 12 1992 34170 122608 14 1 1993 30039 120046 15 2 1993 28126 122302 16 3 1993 30455 146122 17 4 1993 30820 152410 18 5 1993 31891 152970 19 6 1993 31352 159770 20 7 1993 33029 159250 21 8 1993 31215 155020 22 9 1993 30622 149884 23 10 1993 31223 150320 24 11 1993 30803 145828 25 12 1993 34941 146162 26 1 1994 30251 137116 27 2 1994 28514 147196 28 3 1994 31920 182410 29 4 1994 31208 177130 30 5 1994 32215 175144 31 6 1994 32537 183164 32 7 1994 33288 169784 33 8 1994 32613 179958 34 9 1994 31860 173246 35 10 1994 31846 171936 36 11 1994 31915 162692 37 12 1994 36173 158706