Chi squared for randomness

#1
Greetings,

I am testing pseudo-random number generators and need to perform a chi-squared test. However, I've encountered some difficulties.

Let's take the following example: I have generated 100 numbers, ranging from 1 to 10.
The distribution is as follows:
1: 8
2: 12
3: 9
4: 11
5: 16
6: 6
7: 8
8: 10
9: 13
10: 7

From what I was able to understand, next I should calculate D.
D = d1 + d2 + d3 + ... + d10.
di = square of the difference between the expected value and the observer value, everything over the expected value
d1 = ((8 - 10)^2)/10 = 4
d2 = ((12 - 10)^2)/10 = 4
.
.
.
d10 = ((7 - 10)^2)/10 = 9
Adding them up results in 84/10 or 8.4.
The next step is comparing this to X^2.
That is X^2[1-alpha,k-1]. It is clear that k=10. But what value should I use for alpha? And how to I know the value of X^2 after I decide what alpha I am going to use?

It feels that I am close but I just can't figure it out.
Many thanks.