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Fynjy0 [20]
3 years ago
6

Give an example of a chance experiment with four possible outcomes. (Select all that apply.) A. rolling a standard die B. pickin

g one of four unique cards C. a random number generator is used to select a whole number between 1 and 4 inclusive D. flipping two coins E. drawing a card from a deck Need Help? Talk to a Tutor Save Proarese
Mathematics
1 answer:
madreJ [45]3 years ago
8 0

Answer:

A. rolling a standard die B. picking one of four unique cards C. a random number generator is used to select a whole number between 1 and 4 inclusive D. flipping two coins E. drawing a card from a deck

All are examples of a chance experiment with four possible outcomes.

Step-by-step explanation:

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Renting roller blades costs a flate fee of $5 plus an additional $2.50 per hour. Write a linear equation that models this.
Kobotan [32]

Answer:

Linear equation : y = 2.50h + 5

Step-by-step explanation:

Given that:

Fee for renting roller blades = $5

Per hour charges = $2.50

Let,

h be the number of hours roller blades were rented

y be the total amount

Total amount = Per hour charges * Number of hours + Flat fee

y = 2.50h + 5

Hence,

Linear equation : y = 2.50h + 5

4 0
3 years ago
margarite owns a boutique. she sells her jewelry at a 30% markup. if she buys a bracelet for $22, what would she sell it for aft
skad [1K]
She would sell it for $26.60 after the markup.
7 0
4 years ago
Often multiple processing steps are required for data frames, but the intermediate results are often not that important. There a
Ulleksa [173]

Answer:

a. True

Step-by-step explanation:

The data frames is the sorting of data into small frames and clearing out raw data which makes the data important for the user. The input values are inserted by the user as the statement and the statements are interpreted as the values and the results are shown.

4 0
3 years ago
What is a statistical error?
vovikov84 [41]

Answer:

Statistical error is the difference between the estimated or approximated value and the true value.  

<u>Two Possible Types of Statistical Error</u>

Type I Errors occur when we reject a null hypothesis that is actually true; the probability of this occurring is denoted by alpha (a).

Type II Errors are when we accept a null hypothesis that is actually false; its probability is called beta (b).

<u>Example </u>

You test whether a new drug intervention can alleviate symptoms of an autoimmune disease.

A Type I error happens when you get false positive results: you conclude that the drug intervention improved symptoms when it actually didn’t. These improvements could have arisen from other random factors or measurement errors.

A Type II error happens when you get false negative results: you conclude that the drug intervention didn’t improve symptoms when it actually did. Your study may have missed key indicators of improvements or attributed any improvements to other factors instead.

4 0
3 years ago
What is 20x=2. What is x
MA_775_DIABLO [31]

Answer:

20x=2

Divide by 20

X=2/20

X=0.1

Step-by-step explanation:

8 0
3 years ago
Read 2 more answers
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