First off who needs 75 cards?? Emily signed 2/5 or .4 of 75 so EMILY SIGNED 30 CARDS (caps helps me stay organized) Josh, that slacker, signed 1/9 or .11(repeating) of the remaining 45 cards so JOSH SIGNED 5 CARDS there are 40 unsigned cards and Tatiana signed 2/10 or .2 of them so TATIANA SIGNED 8 CARDS so 40-8=32 there are 32 cards left
Answer:
$828
Step-by-step explanation:
15% = 0.15
0.15 x 720 = 108
total cost = $720 + $108 = $828
Answer: The number of times Gavin expect to roll an even number =24
Step-by-step explanation:
Given: Numbers of a fair dice = 1, 2, 3, 4, 5, 6
even numbers = 2, 4, 6
odd numbers = 1, 3, 5
Probability of getting an even number = 
If Gavin rolls a fair dice 48 times.
Then, the number of times Gavin expect to roll an even number = 
Hence, the number of times Gavin expect to roll an even number =24
Answer: Choice A) There must be a vertical asymptote at x = c
Explanation:
The first limit
says that as x approaches c from the left side, the f(x) or y values approach negative infinity. So the graph goes down forever as x approaches this c value from the left side.
The limit
means that as x approaches c from the right side, the y values head off to positive infinity.
Either of these facts are enough to conclude that we have a vertical asymptote at x = c. We can think of it like an electric fence in which we can get closer to, but not actually touch it.
Using the normal distribution, it is found that 58.97% of students would be expected to score between 400 and 590.
<h3>Normal Probability Distribution</h3>
The z-score of a measure X of a normally distributed variable with mean
and standard deviation
is given by:

- The z-score measures how many standard deviations the measure is above or below the mean.
- Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
The mean and the standard deviation are given, respectively, by:

The proportion of students between 400 and 590 is the <u>p-value of Z when X = 590 subtracted by the p-value of Z when X = 400</u>, hence:
X = 590:


Z = 0.76
Z = 0.76 has a p-value of 0.7764.
X = 400:


Z = -0.89
Z = -0.89 has a p-value of 0.1867.
0.7764 - 0.1867 = 0.5897 = 58.97%.
58.97% of students would be expected to score between 400 and 590.
More can be learned about the normal distribution at brainly.com/question/27643290
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