How is the goal of descriptive statistics served by putting scores in a frequency distribution?

When dating someone, what matters more to you: looks or personality? This question was the focus of a community college student’s class project for an introductory statistics course. She devised a 25-point scale. An answer of 1 means “personality matters most and looks don’t matter at all.” A score of 25 means “looks matter most and personality does not matter at all.” Her hypothesis is that the mean scores for males and females will differ, but she does not have an opinion about which population will have a higher mean score. Here are her hypotheses. H0: μ1 − μ2 = 0 Ha: μ1 − μ2 ≠ 0 She chose a random sample of 10 classes from the schedule at Los Medanos College and distributed surveys in those classes. Survey respondents totaled 170 students: 85 females and 85 males. We used her data to run a hypothesis test for a difference in two population means.  Here are the results: he results:   t df p Cohen's d Gender -4.11 168 0.0000 -0.629   Which conclusion is the most accurate…

If a data set has 15 mean standard daviation 2 , percentage observation lie between 13 and 17

why do you think the data presented this way?

Think of your own example of a data set that would follow a normal distribution and explain why.

What do you mean by relative frequency?

How can graphics and/or statistics be used to misrepresent data?

find an example of when statistics were misused/skewed and state the reason why you think the statistics were reported that way.

Discuss how statistics, as a way of organizing and summarizing data, helped make good decisions when shopping

Why the number of days spent in hospital is a data measured at an interval and not ordinal level?