Under the assumptions, the numerator has a normal distribution when the degrees of freedom are small, the denominator tends to be by values that are either larger or smaller than 1, spreading it out but at the least it serves as an explanation for where the scaled-chi distributions in the diagram.
This calculation defines standard error exactly as it was defined in chapters 7 and 8, but for df, the t distribution will be flatter and more spread out than a normal distribution smaller values of df create flatter & more spread out distribution if the obtained t statistic is larger than the critical value from the table, you can.
Answer to why do t distributions tend to be flatter and more spread out than the normal distribution is the of the t statistic co. The t distribution tends to be flatter and more spread out - if sample size is large ( around n=30 or more) or if the sample is selected from a normal population,.
Answer to explain why t distributions tend to be flatter and more spread out than the normal distribution. Very famous 1908 paper, where the role of student's t-distribution was first recognized t-distributions are more spread out than the normal.