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DerKrebs [107]
3 years ago
12

Ilke is deciding whether to take his girlfriend on a dinner date or on a movie date the probability of this having a successful

dinner is 55%. the probability of this having a successful movie day is 0.45.
Which of these events is more likely?
Mathematics
1 answer:
Lerok [7]3 years ago
5 0

Answer:

The dinner date

Step-by-step explanation:

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Gas is priced at $2.70 per gallon. My gas tank has 2 gallons currently in the tank. Write an equation to show much
mestny [16]
2.70g = c
you have 2 gallons so it would be 2.70(2)=5.40

gallons - g
cost - c
8 0
3 years ago
I'LL GIVE BRAINLIEST!<br> Simplify
monitta

(4ab^2-5ba-2ba^2+a^2+4b^3+a^3)(2b+a)/ a-4b^2

6 0
3 years ago
What solution is <br> y=9x+35<br> y=-8/9x+4/5
Ainat [17]

Answer:

x=-1539/445, y=1724/445. (-1539/445, 1724/445).

Step-by-step explanation:

y=9x+35

y=-8/9x+4/5

-------------------

9x+35=-8/9x+4/5

9x-(-8/9x)=4/5-35

9x+8/9x=4/5-175/5

81/9x+8/9x=-171/5

89/9x=-171/5

x=(-171/5)/(89/9)

x=(-171/5)(9/89)

x=-1539/445

y=9(-1539/445)+35

y=1724/445

6 0
3 years ago
DUE IN 5 MINUTES PLZ HELP LOL:)
katen-ka-za [31]

1) Yes

2) 5 minutes

3) 2 minutes

Step-by-step explanation:

1: Yes because, using the vertical line test, the line will cut the graph once meaning that the graph will form a function

2: 5 minutes because the horizontal line represents that she rested, therefore she was at the park for five minutes

3: 2 minutes because she traveled and reached home between 6 and 8 minutes

3 0
2 years ago
Read 2 more answers
The management of a relatively new social networking website named BooglePlus is conducting a pilot study comparing use of its o
zavuch27 [327]

Answer:

0.0623 ± ( 2.056 )( 0.0224 ) can be used to compute a 95% confidence interval for the slope of the population regression line of y on x

Step-by-step explanation:

Given the data in the question;

sample size n = 28

slope of the least squares regression line of y on x or sample estimate = 0.0623

standard error = 0.0224

95% confidence interval

level of significance ∝ = 1 - 95% = 1 - 0.95 = 0.05

degree of freedom df = n - 2 = 28 - 2 = 26

∴ the equation will be;

⇒ sample estimate ± ( t-test) ( standard error )

⇒ sample estimate ± ( t_{\alpha /2, df) ( standard error )

⇒ sample estimate ± ( t_{0.05 /2, 26) ( standard error )

⇒ sample estimate ± ( t_{0.025, 26) ( standard error )

{ from t table; ( t_{0.025, 26) = 2.055529 = 2.056

so we substitute

⇒ 0.0623 ± ( 2.056 )( 0.0224 )

Therefore, 0.0623 ± ( 2.056 )( 0.0224 ) can be used to compute a 95% confidence interval for the slope of the population regression line of y on x

5 0
3 years ago
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