Answer: test statistic.
Step-by-step explanation:
The chi-square ( ) test is a non-parametric statistical test(also known as Goodness of fit test) which is used to determine if a distribution of observed frequencies differs from the expected frequencies.
Chi-square statistic uses either nominal (categorical) or ordinal level data.
Hence, When determining how well an observed set of frequencies fits an expected set of frequencies, the test statistic is test statistic.
Answer: 64,000
Step-by-step explanation:
3500 is the 5% left, so 1% is 640640 times 100% = 64,000 which is already to the nearest thousand
Answer:
z=2
Step-by-step explanation:
z^2 - 4z+4 =0
Factor recognizing
a^2 - 2ab - b^2 = (a-b)^2
(z-2)^2 =0
Using the zero product property
z-2 = 0
z=2
Answer:
Step-by-step explanation:
The formula for this is
where
N is the amount of the element left after a certain amount of time (for us it is measured in days),
N₀ is the initial amount of the element in grams,
t is the number of days gone by, and
H is the half life of the element. Filling in:
which simplifies a bit to
and a bit more to
N = 42(.25) which gives us a remaining amount of
N = 10.5