iWriteGigs

Fresh Grad Lands Job as Real Estate Agent With Help from Professional Writers

People go to websites to get the information they desperately need.  They could be looking for an answer to a nagging question.  They might be looking for help in completing an important task.  For recent graduates, they might be looking for ways on how to prepare a comprehensive resume that can capture the attention of the hiring manager

Manush is a recent graduate from a prestigious university in California who is looking for a job opportunity as a real estate agent.  While he already has samples provided by his friends, he still feels something lacking in his resume.  Specifically, the he believes that his professional objective statement lacks focus and clarity. 

Thus, he sought our assistance in improving editing and proofreading his resume. 

In revising his resume, iwritegigs highlighted his soft skills such as his communication skills, ability to negotiate, patience and tactfulness.  In the professional experience part, our team added some skills that are aligned with the position he is applying for.

When he was chosen for the real estate agent position, he sent us this thank you note:

“Kudos to the team for a job well done.  I am sincerely appreciative of the time and effort you gave on my resume.  You did not only help me land the job I had always been dreaming of but you also made me realize how important adding those specific keywords to my resume!  Cheers!

Manush’s story shows the importance of using powerful keywords to his resume in landing the job he wanted.

Exam 3

Navigation   » List of Schools  »  Los Angeles Harbor College  »  Statistics  »  Statistics 001 – Elementary Statistics I for the Social Sciences  »  Spring 2020  »  Exam 3

Need help with your exam preparation?

Below are the questions for the exam with the choices of answers:

Question #1
A  Parents and non-parents in the population, differ in their views on contraception-based sex education
B  No reasonable interpreatations can be drawn from this dataset since it is based on sample data
C  Parents and non-parents in the population, do not differ in their views on contraception-based sex education
D  Parents and non-parents in the sample groups, do not differe in their views on contraception-based sex education.
Question #7
A  There is a diference in opinions on teaching contraception-based sex educaiton in public schools between parent and non-parents
B  There is a diference in opinions on teaching contraception-based sex educaiton in public schools between parent and non-parents
C  There is no diference in opinions on teaching contraception-based sex educaiton in public schools between parent and non-parents, in the population
D  There is no diference in opinions on teaching contraception-based sex educaiton in public schools between parent and non-parents
Question #8
A  Gets smaller
B  Gets larger
C  Impossible to say
D  Does not change
Question #9
A  All variances are assumed to be equal
B  All samples must be selected randomly
C  All data must be interval level data
D  All of the above are true
Question #10
A  The larger the sum of squares within groups compared to the sum of squares between groups
B  The less likely an observed difference is due to chance
C  The larger the mean square within groups compared to the mean square between groups.
D  The more likely an oberved difference is due to chance
Question #11
A  Dividing the mean square between by the mean square within
B  Dividing the mean square within by the mean square between
C  Dividing the degrees of freedom within by degrees of freedom between
D  None of the above
Question #12
A  Calculated by dividing the sum of squares within by the degrees of freedom within
B  Calculated by dividing the sum of squares between by the degrees of freedom between
C  Is a method for assessing variation in conjunction with the sum of squares
D  All of the above.
Question #13
A  Within groups
B  Between groups
C  All of the abve
D  For the total sample
Question #14
A  Within group variation
B  Between group variation
C  Total variation
D  None of the above
Question #15
A  a 95% confidence interval
B  a z-score critical valu of 1.96
C  a probability of the findings being the result of sampling error
D  all of the above.
Question #16
A  The degrees of freedome is based on the total number of scores.
B  Two scores exist for each respondent
C  The null hypothesis states that the two groups are not equal
D  None of the above is true.
Question #17
A  The more probable that our results are due to chance alone
B  The larger our critical (table) t value
C  The less probable that our results are due to chance alone
D  The larger the probability of making a Type 1 error
Question #18
A  cannot be properly estimated
B  requires only one samples characteristics
C  does not include the sample sizes
D  is an estimate of the standard deviation in a sampling distribution of difference
Question #19
A  Means a normal distribution
B  Means a skewed distribution
C  Means a higher probability of the obtained difference being a result of sampling error
D  Means a lower probability of the obtained difference being a result of sampling error
Question #20
A  Made the correct decision
B  Made a Type 1 error
C  Made a Type 2 error
D  None of the above
Question #21
A  Claim that a significant difference exists between groups
B  conclude that the sampling error is responsible for our obtained difference
C  Have committed a Type 2 error
D  Have an obtained (calculated) t value greater than our critical (table) value
Question #22
A  Catholics and protestants pray the same amount
B  Juveniles do ot differ from adults in criminal offense behaviors
C  Gang members differ from non-gang members in perceptions of violence
D  Senior citizens driving behaviors do not differ from those of teenagers
Question #23
A  the likelihood that the samples were drawn from populations with equal medians
B  the likelihood that the mean will be greater than the media
C  the likelihood that the median will be the most frequent score
D  the likelihood the mean and the median and the moe will all have the same value
Question #24
A  less powerful than parametric tests
B  only applicble to interval level data
C  more “robust” than parametric tests
D  not applicable for nominal data
Question #26
A  reject the null hypothesis
B  accept the null hypothesis
C  square all values
D  use Yates’ adjusted formula
Question #27
A  The frequences one would expect if the null hypothesis was true
B  the frequences one would expect if the research hypothesis was true
C  the frequences one would expect if the sample was normally distributed
D  The frequences one would expect if the sample was truly representative of the population
Question #28
A  the distinction between two interval level variables
B  the distinction between one ordinal and one interval level variable
C  only observed frequences
D  the distinction between expected and observed frequencies