Question

Precision for Reporting Reporting the Mean and SE Table 1. t-Test output. Large-billed birds eat more big How many significant digits you report for your mean depends on your precision seeds than do small-billed birds of measurement. As a general guideline, include one decimal place to the right beyond the scale of measurement. For example, if you counted the number of seeds a bird has eaten (ie, whole numbers), your mean would be written to the Mean # of seeds eaten tenths place, as shown in the table to the right. If you measured bill length as 1.3 cm, then you would report the mean to the hundredths place (e.g., 2.15 cm). When reporting the variance or the SE, use the same precision as you didtStat with the mean, which means that you include one decimal place beyond the scale of measurement (i.e., if the mean is reported to the tenths place as shown t Critical two-tail here, do the same for the variance and SE) Large bills Small bils 72.0 447.4 127.9 951.5 18 4.96 0.037 2.09 Variance df P(T<-t) two-tail df- degrees of freedonm Report it as a whole number. Goldfinches (Carduelis tristis) with large bills ate more big seeds than did goldfinches with smaller bills T-values should be reported to the hundredths place (two digits to the right of the decimal) 140 120 P values 100 If your assignment requires you to turn in your output, it means that your professor wants to see your actual P value. If your P value is > 0.001, list it with 2 significant digits, eg., P-0.46, P 0.050, P-0.0032 (note that in P values, the zeros between the decimal and the non-zero values to the right are not considered significant digits). If your P value is <0.001, report it as P < 0.001. 80 n 60 40 20 If the P value is very small and it appears in your output in scientific notation (e.g., 7.57E-05), make sure that you correctly represent the P value. For example, 7.57E-05 is 0.000076 and should be reported as P< 0.001 Large bills (n-10) Small bills (n-10) Bill size of birds observed

Answer 1

The problems related to testing of Two means (independent samples t - test for difference of means)  

First problem is one tailed test particularly right tailed test. So the answers are as follows.