t-test for aphid data:

Null: µ = 50 Alternative: µ does not equal 50

Check that the conditions for inference have been met:

Data = c(45, 61, 56, 57, 53, 53, 53, 64, 62, 52) 
hist(Data, breaks = seq(40, 70, 2.5))

boxplot(Data)

Conduct a t-test:

t.test(Data, mu = 50)

    One Sample t-test

data:  Data
t = 3.1283, df = 9, p-value = 0.01215
alternative hypothesis: true mean is not equal to 50
95 percent confidence interval:
 51.55052 59.64948
sample estimates:
mean of x 
     55.6 
t_crit_data = (mean(Data) - 50)/(sd(Data)/sqrt(10))
t_crit_data
[1] 3.128323
2*(pt(t_crit_data, df = 9, lower.tail = FALSE))
[1] 0.01215449
LS0tCnRpdGxlOiAidCB0ZXN0IGZvciBhcGhpZCBkYXRhIgpvdXRwdXQ6IGh0bWxfbm90ZWJvb2sKLS0tCgp0LXRlc3QgZm9yIGFwaGlkIGRhdGE6CgpOdWxsOiDCtSA9IDUwCkFsdGVybmF0aXZlOiDCtSBkb2VzIG5vdCBlcXVhbCA1MAoKQ2hlY2sgdGhhdCB0aGUgY29uZGl0aW9ucyBmb3IgaW5mZXJlbmNlIGhhdmUgYmVlbiBtZXQ6CmBgYHtyfQpEYXRhID0gYyg0NSwgNjEsIDU2LCA1NywgNTMsIDUzLCA1MywgNjQsIDYyLCA1MikgCmhpc3QoRGF0YSwgYnJlYWtzID0gc2VxKDQwLCA3MCwgMi41KSkKYm94cGxvdChEYXRhKQoKYGBgCgpDb25kdWN0IGEgdC10ZXN0OgpgYGB7cn0KdC50ZXN0KERhdGEsIG11ID0gNTApCnRfY3JpdF9kYXRhID0gKG1lYW4oRGF0YSkgLSA1MCkvKHNkKERhdGEpL3NxcnQoMTApKQp0X2NyaXRfZGF0YQoyKihwdCh0X2NyaXRfZGF0YSwgZGYgPSA5LCBsb3dlci50YWlsID0gRkFMU0UpKQpgYGAKCg==