Type I errors occur when researchers accept the alternative hypothesis and reject the null hypothesis due to accidental errors. To reduce this, a researcher can decide to use a p<0.01 level of significance (BUT THIS CAN INCREASE A TYPE II ERROR)
Type II errors occur when the researcher accepts the null hypothesis and rejects the alternative hypothesis due to error that the data collected passed the level of significance.
