Sherm1 M3 M2

gen RHSB=4+(4/(50^.5)) gen out1=cond(meanaRHSA,1,0) gen out2=cond(meanbRHSB,1,0)

a) How many purchases of children’s books, on average, are made by women? By men? b) Is the difference statistically significant? 8. How many BBB.sav customers have purchased one or more

Question number sixteen states, “During the time you described in question 10, did you scroll through any of your active social media accounts?” It is a nominal question because the answers are not given a quantitative value. As a result, qualitative data is retrieved from the answer. Since the question is nominal, the measure of central tendency that can be used to summarize it is the mode. There are no quantities since the answers were words rather than numbers so mean and median cannot be calculated.

I understand that SEM is not the same as standard deviation. I also recognize that if the sample size is increased, the standard error of the

Unit 4 Discussion Assignment Has anyone ever broken a promise to you? Were those promises legally enforceable promises? Why or why not? There are two types of promises: Oral and written. The oral promise is a promise spoken and not written down and signed.

At a level of significance of 0.05 the researcher is accepting a possible type I error 5 cases out of a 100 and 95 cases out of 100 a true null hypothesis (Loiselle et al., 2011). Step 3: Selection of one-tailed or two-tailed test The selection for a one-tailed or two-tailed test is not required for a Chi-Square for independence test (Salkind, 2013). Chi-Square test has both variables that are of a categorical level of measurement therefore, there is no direction (Salkind, 2013). Step 4:

Five hundred and seventy eight of the students were from a Mexican background, while one hundred and seventy two were Chinese, and one hundred and seventy one were European. Fifty two percent of the students were girls, while forty-eight percent were boys. DESCRIBE THE METHOD/S USED TO EXAMINE THE HYPOTHESIS The researchers chose to use an initial background questionnaire that was given to each of the schools and then the students were asked to use a daily diary checklist that was to be used at the end of each day over a fourteen day period. The students were asked to report their emotions and keep a record of any events had occurred that day with either parents or family members, friends, or significant others.

This means that out of the 17 students I surveyed at UTSA, which currently has around 29,000 students, there could be some significant error in the approval percentage that I calculated. With the margin of error and confidence interval taken into consideration, I believe my survey is not statistically significant because the margin of error is too high and the sampling size is too small.

This test is only taken among tenth graders and it will predict just how well they will do on the ACT test. Therefore, I begin looking at the data African-American males and Caucasian males. We had 93% of the entire sophomore class take this test. Out of the 93%, 25% were African-American male students and 65% was Caucasian male students tested.

The p-value for the number of correct answers was 0.09288. This p-value indicates no significant difference between the two sets of data. The t-critical value for the number correct t-test was 2.0117 and the t-statistic was 1.71525. The t-statistic did not meet the t-critical value and therefore, the data also confirms there is no significance between the scores.

4.1 SEX-Dose sex differ will have influence on student’s score? From the histogram graphs above, we can confirm that mean in four subjects are trend to normally distributed. To test whether the mean for reading, writing, math and science is the same for males and females, an independent samples t-test tool is suitable because it can compare the means of a normally distributed interval dependent variable for two independent groups. H0: Females have no significant difference and high mean score than males in reading score H1:

Use your results in Data Table 2 to support your answer.

this will what you want to answer from the end results of

The Standard Deviation √46 ≈ 6.78 g   In general, there should be about roughly ⅔ (68.3%) of the mass in one standard deviation of the mean,  roughly 95.4% between two standard deviations of the mean, and 99.7% between three standard deviations of the mean. However, it is very rare that any value would be more than three standard deviations.

• H5: The significant value of customer value variable to brand trust (0,000) (-- removed HTML --) 1,96 meaning there is significant influence between customer value to brand trust in the sense that the better value given by the student will increase student 's belief in private university 's brand • H6: The significant value of customer value variables on reputation (0,000) (-- removed HTML --) 1.96 which means there is a significant influence between customer value of reputation in the sense that the better the value of the students will increase the reputation of the college high private sector • H7: significant value of Customer satisfaction variable to brand trust (0.002) (-- removed HTML --) 1.96 which means there is a significant influence between customer satisfaction on brand trust in the sense of increasingly satisfied students will increase student confidence against private universities brands • H8: the significant value of the Customer satisfaction variable against reputation (0,000) (-- removed HTML --) 1.96 which means there is a significant influence between customer satisfaction on reputation in the sense that more satisfied students will further enhance the reputation of private