Answer:
An exponential function can describe growth or decay
It gets rapidly smaller as x increases, as illustrated by its graph. In the exponential growth of f(x), the function doubles every time you add one to its input x.
Step-by-step explanation:
Answer:
1.16
Step-by-step explanation:
Given that;
For some positive value of Z, the probability that a standardized normal variable is between 0 and Z is 0.3770.
This implies that:
P(0<Z<z) = 0.3770
P(Z < z)-P(Z < 0) = 0.3770
P(Z < z) = 0.3770 + P(Z < 0)
From the standard normal tables , P(Z < 0) =0.5
P(Z < z) = 0.3770 + 0.5
P(Z < z) = 0.877
SO to determine the value of z for which it is equal to 0.877, we look at the
table of standard normal distribution and locate the probability value of 0.8770. we advance to the left until the first column is reached, we see that the value was 1.1. similarly, we did the same in the upward direction until the top row is reached, the value was 0.06. The intersection of the row and column values gives the area to the two tail of z. (i.e 1.1 + 0.06 =1.16)
therefore, P(Z ≤ 1.16 ) = 0.877
O think it is c subtracting 6 because adding and subtracting is the same so it’s either c or d
Answer:
49
Step-by-step explanation:
7*7/1=49 This is because 7/1 equals 7 since 1 goes into 7, 7 times so really the equation 7*7 which still equals 49.
Answer:
the test I will perform is d. Two-sided t-test
Step-by-step explanation:
When we are to compare between different data, critical regions occur on both sides of the mean of a normal distribution,they are as a result of two-tailed or two-sided tests.
In such tests, consideration has to be given to values on both sides of the mean.
for this question, it is expected to compare weather it is true that first born have different intelligent or not, weather to accept a null hypothesis or reject.
For example, if it is required to show that the percentage of metal, p, in a
particular alloy is x%, then a two-tailed test is used, since the null hypothesis is incorrect if the percentage of metal is either less than x or more than x.