Social deviants hold our society together through social cohesion and.

by an inherent integration of a functioning society, through which socially acceptable goals play a part.

by having a socially accepted goal and having no socially accepted way to pursue it.

by publicly defining what is not acceptable, the deviant receives a response to their moral offense, which holds societies together.

This is sociology not psychology

Waiting times (in minutes) of customers at a bank where all customers enter a single waiting line and a bank where
customers wait in individual lines at three different teller windows are listed below. Find the coefficient of variation for each
of the two sets of data, then compare the variation.
Bank A (single line): 6.5 6.6 6.7 6.9 7.1 7.3 7.4 7.6 7.7 7.8
Bank B (individual lines): 4.4 5.4 5.7 6.2 6.7 7.7 7.8 8.4 9.4 9.9

The coefficient of variation for the waiting times at Bank A is ____%
(Round to one decimal place as needed.)
The coefficient of variation for the waiting times at the Bank B is _____%.
(Round to one decimal place as needed.)
Is there a difference in variation between the two data sets?
A. The waiting times at Bank B have considerably less variation than the waiting times at Bank A
B. There is no significant difference in the variations.
C. The waiting times at Bank A have considerably less variation than the waiting times at Bank B

The data table contains waiting times of customers at a​ bank, where customers enter a single waiting line that feeds three teller windows. Test the claim that the standard deviation of waiting times is less than 2.3 ​minutes, which is the standard deviation of waiting times at the same bank when separate waiting lines are used at each teller window. Use a significance level of 0.01. Complete parts​ (a) through​ (d) below. customer waiting times (in minutes) 8.1 7.2 6.4 6.6 6.4 7.1 6.7 6.8 8.5 6.1 8.6 6.6 14.9 7.1 6.9 7.3 7.2 6.8 7.7 8.4 8.7 7.8 6.5 11.9 7.3 6.2 6.3 7.8 7.5 6.1 12.4 6.4 6.9 9.9 4.9 7.7 6.1 7.8 6.4 7.4 14.8 7.5 8.9 7.2 7.1 6.1 7.7 6.6 7.8 6.9 6.4 6.2 6.1 7.2 6.8 7.7 6.6 7.3 8.6 7.7

Waiting times​ (in minutes) of customers at a bank where all customers enter a single waiting line and a bank where customers wait in individual lines at three different teller windows are listed below. Find the coefficient of variation for each of the two sets of​ data, then compare the variation. Bank A​ (single line): 6.6 nbsp 6.6 nbsp 6.7 nbsp 6.8 nbsp 7.0 nbsp 7.3 nbsp 7.5 nbsp 7.7 nbsp 7.7 nbsp 7.8

Bank B​ (individual lines): 4.4 nbsp 5.4 nbsp 5.7 nbsp 6.2 nbsp 6.8 nbsp 7.6 nbsp 7.8 nbsp 8.6 nbsp 9.2 nbsp 9.7

The coefficient of variation for the waiting times at Bank A is

b. find coefficient of variance for vaiting times in Bank B: %

The data table contains waiting times of customers at a​ bank, where customers enter a single waiting line that feeds three teller windows. Test the claim that the standard deviation of waiting times is less than 1.8 ​minutes, which is the standard deviation of waiting times at the same bank when separate waiting lines are used at each teller window. Use a significance level of 0.05. 1. Compute the test statistic. 2.Find the P-value of the test statistic.

Waiting times​ (in minutes) of customers in a bank where all customers enter a single waiting line and a bank where customers wait in individual lines at three different teller windows are listed below. Find the mean and median for each of the two​ samples, then compare the two sets of results. Single Line 6.5 6.6 6.7 6.8 7.0 7.1 7.5 7.6 7.6 7.6 Individual Lines 4.2 5.4 5.8 6.2 6.5 7.6 7.6 8.6 9.2 9.9 The mean waiting time for customers in a single line is nothing minutes. The median waiting time for customers in a single line is nothing minutes. The mean waiting time for customers in individual lines is nothing minutes. The median waiting time for customers in individual lines is nothing minutes. Determine whether there is a difference between the two data sets that is not apparent from a comparison of the measures of center. If​ so, what is​ it? A. The times for customers in a single line are much more varied than the times for customers in individual lines. B. The times for customers in individual lines are much more varied than the times for customers in a single line. C. There is no difference between the two data sets.

A restaurant's marketing department claims that 45% of customers prefer hamburgers, 41% of the customers prefer chicken sandwiches, and 14% of the customers prefer fish sandwiches. To test this claim, a random group of customers at a fast food chain were asked whether they preferred hamburgers, chicken sandwiches, or fish sandwiches, with the results shown below. Sandwich : Hamburgers Chicken Fish No. of customers: 40 16 8 Based on this sample data, is there evidence to reject the restaurant's claim at a significance level of α = .05?

2.5 A Spar retailer observed a random sample of 161 customers and found that 69 customers paid for their grocery purchases by cash and the remainder by credit card. Question: Construct a 90% confidence interval for the actual percentage of customers who pay cash for their grocery purchases.

5 points

a) The actual percentage of customers who pay cash for their grocery purchases lies between 42.81% and 43.90%.

b) The actual percentage of customers who pay cash for their grocery purchases lies between 36.44% and 49.28%.

c) The actual percentage of customers who pay cash for their grocery purchases lies between 42.12% and 41.80%.

d) The actual percentage of customers who pay cash for their grocery purchases lies between 37.85% and 47.87%.

2.6 A survey amongst a random sample of 250 male and female respondents was conducted into their music listening preferences. Each respondent was asked whether they enjoy listening to jazz. Of the 140 males surveyed, 46 answered ‘Yes’. Of the 110 female respondents, 21 answered ‘Yes’. Is there statistical evidence at the 5% level of significance that males and females equally enjoy listening to jazz? Question: Formulate the Null and Alternative Hypothesis for this problem and tick the correct answer below.

2 points

a) H0: μ1 - μ2 ≠ 0 vs H1: μ1 - μ2 > 0

b) H0: μ1 - μ2 = 0 vs H1: μ1 - μ2 ≠ 0

c) H0: μ1 - μ2 < 0 vs H1: μ1 - μ2 < 0

d) H0: μ1 - μ2 ≤ 0 vs H1: μ1 - μ2 < 0

2.7 Make use of the information provided in the previous question and calculate the z-statistic using Z-test and tick the correct answer below.

5 points

a) z-stat = 1.96

b) z-stat = 2.19

c) z-stat = 2.44

d) z-stat = -2.01

2.8 Based on your empirical evidence in the previous question make a statistical conclusion whether there is statistical evidence at the 5% level of significance that males and females equally enjoy listening to jazz. Tick the correct answer below.

5 points

a) None of these answers is correct.

b) Reject the Null hypothesis. The alternative is probably true that the male and female proportions differ.

c) Fail to reject the Null hypothesis, the Null is probably true that the male and female proportions is the same.

d) Accept the Null hypothesis because the statistic is very close to the z-critical = 1.96.

The data table contains waiting times of customers at a​ bank, where customers enter a single waiting line that feeds three teller windows. Test the claim that the standard deviation of waiting times is less than 1.5 ​minutes, which is the standard deviation of waiting times at the same bank when separate waiting lines are used at each teller window. Use a significance level of 0.05. Complete parts​ (a) through​ (d) below.

A. Identify the null and alternative hypotheses for this test.

B. Identify the test statistic for this hypothesis test.

C. Identify the​ P-value for this hypothesis test.

D. Identify the conclusion for this hypothesis test.

Customer wait time (in minute):

8.6

7.3

6.2

6.5

6.4

6.6

6.6

6.4

7.9

7.6

6.4

8.9

11.2

6.1

8.9

7.8

7.6

6.4

7.1

6.5

6.7

6.7

7.2

6.2

7.2

7.1

6.4

7.8

7.6

6.3

4.2

6.4

7.8

7.1

6.5

6.3

7.9

6.8

7.4

7.4

10.7

6.4

6.5

6.3

7.6

7.3

6.1

7.8

7.9

7.4

5.3

8.8

6.6

6.2

7.1

6.3

7.5

7.3

7.4

6.3

Waiting times​ (in minutes) of customers at a bank where all customers enter a single waiting line and a bank where customers wait in individual lines at three different teller windows are listed below. Find the coefficient of variation for each of the two sets of​ data, then compare the variation. Bank A​ (single line): 6.5 6.6 6.7 6.8 7.1 7.4 7.4 7.6 7.7 7.8 Bank B​ (individual lines): 4.2 5.4 5.8 6.2 6.7 7.7   7.8 8.6 9.3 9.9

The coefficient of variation for the waiting times at Bank A is

nothing​%.

​(Round to one decimal place as​ needed.)