When defining its market segments, the xyz company identifies groups based on characteristics such as age, gender, income, and education. what type of market segmentation is this?

Answer the following questions using the data given below. annual percent return on mutual funds (n = 17) last year (x) this year (y) 11.9 15.4 19.5 26.7 11.2 18.2 14.1 16.7 14.2 13.2 5.2 16.4 20.7 21.1 11.3 12.0 –1.1 12.1 3.9 7.4 12.9 11.5 12.4 23.0 12.5 12.7 2.7 15.1 8.8 18.7 7.2 9.9 5.9 18.9

Companies hd and ld are both profitable, and they have the same total assets (ta), total invested capital, sales (s), return on assets (roa), and profit margin (pm). both firms finance using only debt and common equity. however, company hd has the higher total debt to total capital ratio. which of the following statements is correct? a) company hd has a higher assets turnover than company ld. b) company hd has a higher return on equity than company ld. c) none of the other statements are correct because the information provided on the question is not enough. d) company hd has lower total assets turnover than company ld. e) company hd has a lower operating income (ebit) than company ld

Reliability and validity reliability and validity are two important considerations that must be made with any type of data collection. reliability refers to the ability to consistently produce a given result. in the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways. unfortunately, being consistent in measurement does not necessarily mean that you have measured something correctly. to illustrate this concept, consider a kitchen scale that would be used to measure the weight of cereal that you eat in the morning. if the scale is not properly calibrated, it may consistently under- or overestimate the amount of cereal that’s being measured. while the scale is highly reliable in producing consistent results (e.g., the same amount of cereal poured onto the scale produces the same reading each time), those results are incorrect. this is where validity comes into play. validity refers to the extent to which a given instrument or tool accurately measures what it’s supposed to measure. while any valid measure is by necessity reliable, the reverse is not necessarily true. researchers strive to use instruments that are both highly reliable and valid.