Imagine you are interviewing teenagers in order to understand how they develop their sense of self. Which of the following statements can be classified as a statement of self that could be attributed to the concept of the looking-glass concept?

Riding the bus is lame. It just takes so long when I could be doing other things.
I'm no good at geometry. Whenever I answer questions wrong in class, the teacher looks at me like I'm stupid and other students laugh at me.
I love playing chess. I'm not so great, but all my friends are in the chess club.
I really don't like swimming. The chlorine makes my feet peel and being in the pool with all those people is just gross.
I'm no good at geometry. Whenever I answer questions wrong in class, the teacher looks at me like I'm stupid and other students laugh at me.

I'm no good at geometry. Whenever I answer questions wrong in class, the teacher looks at me like I'm stupid and other students laugh at me

Explanation:

As developed by Charles Horton Cooley in 1902, the looking-glass self is a social psychological concept suggests that a person's self "judgement" is developed out of society's interpersonal interactions and the perceptions of others. In other words stating that we develop our self based on the judgements of others. This is reflected in the statement above

where the student believes he is "no good at geometry" because others laugh and believe he is "no good at geometry"

Bags are being underfilled by the machine

Step-by-step explanation:

Solution:-

- The potato chips manufacturer wants to statistically determine whether the machine is operating correctly based on its weight control.

- The weight control limit was placed on the machine for 404.0 grams.

- He believes that the machine is underfilled.

- So, he takes a sample of size n = 48 bags and weigh them separately and get the following data for his sample.

                 Sample Mean ( x^ ) = 400.0 grams

                 Variance ( σ ) = 169 grams

- He wants to statistically check his doubts on the machine operability at a significance level ( α ) of 0.02.

- We will make an hypothesis that the machine works fine. So,

                Null hypothesis: u = 404.0 grams

- We will test against what he believes to be the case i.e " under-filling of bags "

                Alternate hypothesis: u < 404.0 garms

- Next we will determine what test is to be applied in this case.

- For the above two conditions we can apply the use standard normal distribution ( Z-score ).

- We are testing for underfilling of bags. So we will apply one-left tail test.

- Hence, the critical value for the Alternate hypothesis to hold true would be:

                    P ( Z < Z-critical ) = α  

                    P ( Z < Z-critical ) = 0.02

                    Z-critical = -2.06  

- Next we compute the Z-statistics associated with the sample data obtained:

                    Z-test = ( x^ - u ) / √ ( σ^2 / n )

                    Z-test = ( 400 - 404 ) / √ ( 169 / 48 )

                    Z-test = -4 / 1.87638

                    Z-test = -2.13176

- For the left-one tailed test the Z-critical value provide the limit underneath which all the statistical test values lie in the rejection region.

Therefore,

                    -2.13176 < -2.06

                    Z-test < Z-critical.  ( Null hypothesis Rejected )

Conclusion:

- The statistics value lies in the rejection region; hence, the Null hypothesis is rejected. With can conclude with 98% confidence that the claim made on bags being underfilled by the machine is evident.