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Students usually tend to view statistics subject negatively. These students’ attitudes toward statistics and their implications for statistics instruction have long been a commonly shared interest among statistics educators. It causes educators modify their teaching according to suggestions from the research literature, and to use assessment to determine if their teaching is effective and if students are developing statistical under­standing and competence. Besides that, positive thinking should be built when learning process is running. Nowadays, statistics has recently applied in education, technology, politics, business, etc.

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This research investigates the informational effect of stock liquidity on dividend payouts in Indonesia from 2008 to 2017. Three dividend payout proxies are used: DVE (cash dividend scaled by earnings), DVC (cash dividend scaled by net operating cash flow), and DVP (the propensity for a dividend use dummy variable). Stock liquidity is measured using the Amihud Method. The results of this research indicate that a positive and significant relationship exists between stock liquidity and dividend payouts. This study used the generalized least square panel data method and logistic estimation method. Indications exist of an increase in the informational effect of stock liquidity on increasing dividend payouts. These results are consistent with the dynamic panel data estimation model.

The goal of this research is to estimate the impact of the Covid-19 outbreak on firm performance in Indonesia on a sectoral level. According to BPS data (2020), Indonesia's GDP fell in Q2 and Q3 2020, even falling to a negative level. The drop in GDP, on the other hand, was not homogenous across all sectors. In Q2 and Q3 2020, there are sectors with positive GDP and sectors with negative GDP. This research looks at three sectors with positive GDP and three with negative GDP. This research uses secondary data, namely financial report data published by each of the firms. STATA software was used to process research data using panel data regression. This research provides results that the Covid-19 outbreak had a positive impact on firm performance in sectors with positive GDP growth during the outbreak and a negative impact on firm performance in sectors with negative GDP growth during the outbreak. As sectorally, the Covid-19 outbreak had a positive impact on firm performance in the health sector. The Covid-19 outbreak had a negative impact on firm performance in several sectors, these are the transportation and logistic sector, car and motorcycle trading sector, and the construction sector.