Answer:
9.8ft
Step-by-step explanation:
Answer:
1.) 2 over 5
2.)7.5 over 50
3.)1 1/2
5.)0.95%
6.)2.5%
7.)0.94
i cant read 9 and ten
11.)61 over 100
12.)7 over 25
13.)207 over 1000
15.)14 over 25
16.)13 over 50
17.)3 over 500
19.)5 over 8
20.)42 over 125
21.)3 over 250
I tried my best!! hope this helps you out
Answer:

Step-by-step explanation:
The functions are;

and

We want to find

First we find g(-4) to get:



Now

This implies that,



Answer:
0.0326 = 3.26% probability that a randomly selected thermometer reads between −2.23 and −1.69.
The sketch is drawn at the end.
Step-by-step explanation:
Normal Probability Distribution
Problems of normal distributions can be solved using the z-score formula.
In a set with mean
and standard deviation
, the z-score of a measure X is given by:

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.
Mean of 0°C and a standard deviation of 1.00°C.
This means that 
Find the probability that a randomly selected thermometer reads between −2.23 and −1.69
This is the p-value of Z when X = -1.69 subtracted by the p-value of Z when X = -2.23.
X = -1.69



has a p-value of 0.0455
X = -2.23



has a p-value of 0.0129
0.0455 - 0.0129 = 0.0326
0.0326 = 3.26% probability that a randomly selected thermometer reads between −2.23 and −1.69.
Sketch:
Answer:
36cm^2
Step-by-step explanation:
4cm×9cm=36cm^2