(This variable was harder to measure because on Tuesday multiple servers could have made eye-contact. It was the primary servers responsibility to check with the other servers how many times they looked into any one customer’s eyes in the party. The primary server then noted that number on the meal check).
1. You conducted a 2-group independent t-test with MFPAY as the grouping (independent) variable and TIPAMT as the dependent variable. The mean tip amount for males, the mean tip value for females and the t-statistic were 3.46, 2.21, 3.68. Given the t-statistic value you would conclude
Select one:
a. Females leave more tip than males
b. Males leave more tip than females
c. They both leave same amount statistically speaking
d. Even though this test is interesting, it does not shed light on the main hypothesis
e. b and c
2. You conducted a 2-group independent t-test with MLTSRV as the grouping (independent) variable and TIPAMT as the dependent variable. The mean tip amount with single server, the mean tip value with multiple servers and the t-statistic were 2.06, 4.06 and -8.53. Given the t-statistic and the two means you would conclude
Select one:
a. TIPAMT was statistically higher when multiple servers were present
b. Having multiple servers had no effect on the tip amount
c. This is not a right test to conduct
3.Would you consider conducting an analysis using #TRPS and MFPAY?
Select one:
a. Yes, a 2-group t-test with MFPAY as the independent grouping variable and #TRPS as the dependent variable makes sense.
b. No, it doesn’t make any sense trying to establish a relationship between these two variables

TIPAMT – Tip Amount (coded as 1, 2, 3, 4, or 5) where 1 = <10%; 2 = 10-12%; 3 = 12-14%; 4 = 15...
TIPAMT – Tip Amount (coded as 1, 2, 3, 4, or 5) where 1 = <10%; 2 = 10-12%; 3 = 12-14%; 4 = 15-16%; 5 = >18%. (TIPAMT was directly measured from customers’ payments for the checks). MLTSRV – Multiple Servers in Attendance (0=No; 1=Yes). (For customers on Tuesday, this variable was coded as 1. For customers on Wednesday, this variable was coded as 0). #PRTY - # of Individuals in the Party. (The primary server noted the number...
TIPAMT – Tip Amount (coded as 1, 2, 3, 4, or 5) where 1 = <10%; 2 = 10-12%; 3 = 12-14%; 4 = 15-16%; 5 = >18%. (TIPAMT was directly measured from customers’ payments for the checks). MLTSRV – Multiple Servers in Attendance (0=No; 1=Yes). (For customers on Tuesday, this variable was coded as 1. For customers on Wednesday, this variable was coded as 0). #PRTY - # of Individuals in the Party. (The primary server noted the number...
TIPAMT – Tip Amount (coded as 1, 2, 3, 4, or 5) where 1 = <10%; 2 = 10-12%; 3 = 12-14%; 4 = 15-16%; 5 = >18%. (TIPAMT was directly measured from customers’ payments for the checks). MLTSRV – Multiple Servers in Attendance (0=No; 1=Yes). (For customers on Tuesday, this variable was coded as 1. For customers on Wednesday, this variable was coded as 0). #PRTY - # of Individuals in the Party. (The primary server noted the number...
Q2) Independent-Samples t-Test (15 points total) Help with H, I, J, K, L please! In a research project, researchers collected demographic and health data from a sample of elderly residents in the community. To examine any possible gender differences in their sample, they want to see if the females and the males differ significantly on the education level (number of years of formal schooling). The researchers are not predicting any direction in the possible gender differences so the hypotheses should...
Treatment 1 Treatment 2 Treatment 3 0 1 6 1 4 5 0 1 6 3 2 3 T = 4 T = 8 T = 20 SS = 6 SS = 6 SS = 6 N = 12 G = 32 ƩX2= 138 1a. Conduct a single-factor independent-measures ANOVA to test the hypothesis that there are significant differences in the mean scores among the three treatment conditions. Use α = .01. The alternative hypothesis is Group of answer choices...
GAGE MINDTAP 6 Homework Video eBook Given are five observations for two variables, a and y. 5 1 2 3 4 12 14 3 6 The estimated regression equation is ý= 0.8+ 2.6z - using the following equation (to 3 decimals). a. Compute the mean square error SSE = MSE= n-2 b. Compute the standard error of the estimate using the following equation (to 3 decimals). SSE s=VMSE n-2 c. Compute the estimated standard deviation b using the following equation...
Q2) Independent-Samples t-Test (15 points total) In a research project, researchers collected demographic and health data from a sample of elderly residents in the community. To examine any possible gender differences in their sample, they want to see if the females and the males differ significantly on the education level (number of years of formal schooling). The researchers are not predicting any direction in the possible gender differences so the hypotheses should be non-directional. They would like to run a...
city code
%drivers21
fatal accidents/1000
1
12
1.309
2
5
0
3
12
2.539
4
9
2.003
5
11
2.034
6
14
4.08
7
13
2.639
8
9
0.124
9
6
0
10
10
1.145
11
13
2.719
12
18
3.128
13
10
1.676
14
17
3.769
15
14
2.639
16
13
1.449
17
12
3.121
18
10
2.616
19
9
0.788
20
14
2.631
21
10
1.887
22
12
1
23
9
0.652
24
12
1.209
25
15
0.775...
1 pts Question 1 Question 1: Death Penalty. Exercise 14-4. The chi-square for Table 14-3 on page 138 (see Exercise 14-4 /'a 'in your Exercise Book on page 138) is Table 14-3.PNG [Exercise 14-4 on page 138 is here: exercise 14-4.PNG Exercise 14-4. A speaker at a lecture declares that no statistical evidence whatsoever demonstrates that the death penalty discriminates against minorities. When pressed on the point, she shows a slide that looks like table 14-3.9 The subjects were 326...
5-1 -2 -4 545. Multiple Choice Questions Select the best answer for each of the following questions. Explain the reasons for your selection a. Which of the following is not a financial statement assertion made by management? (1) Existence of recorded assets and liabilities. (2) Completeness of recorded assets and liabilities. (3) Valuation of assets and liabilities. (4) Effectiveness of internal control b. Which of the following business characteristics is not indicative of high inherent risk? (1) Operating results that...