I believed it is "401"
1-9 = 9 digits
10-99 = 90 which is 180
100-200 = 100 which is 300 digits
9+180= 189
1392-189= 1203
1200÷300=400 which 1200 digits
401 is the 1392 number scanned
Answer:
Infinitely many solution
Step-by-step explanation:
There seems to only be 1 line so they must have the same solutions.
Answer: The correct option is third, i.e.,
.
Explanation:
The given function is,

The Rational Root Theorem states that the rational roots are in the form of,
These rational roots are possible rational roots not the actual roots of f(x).
For actual roots of f(x), the value of the function is 0.
Put each value of x from the option in the function, if we get the value of f(x) is 0, then that value is the actual root of f(x).
Put x=3.

Put x=6

Put 

Put 

Only for
the value of function is 0, therefore the correct option is third.
The last one. People per hour because the dependent quantity is the people.
This question is incomplete, the complete question is;
Assume that two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Which distribution is used to test the claim that women have a higher mean resting heart rate than men?
A.t
B.F
C.Normal
D. Chi-square
Answer:
A) t test
Step-by-step explanation:
A t-test uses sample information to assess how plausible it is for the population means μ1 and μ2 to be equal.
The formula for a t-statistic for two population means (with two independent samples), with unknown population variances shows us how to calculate t-test with mean and standard deviation and it depends on the assumption of having an equal variance or not.
If the variances are assumed to be not equal,
he formula is:
t = (bar X₁ - bar X₂) / √( s₁²/n₁ + s₂²/n₂ )
If the variances are assumed to be equal, the formula is:
t = (bar X₁ - bar X₂) / √ (((n₁ - 1)s₁² + (n₂ - 1)s₂²) / (n₁ + n₂ - 2)) ( 1/n₁ + 1/n₂)
it called t-test for independent samples because the samples are not related to each other, in a way that the outcomes from one sample are unrelated from the other sample.
hence option A is correct. t test