Give the sample space for a chance experiment with four possible outcomes. (Select all that apply.) Oa random number generator is used to select a whole number between 1 and 4 inclusive: (1, 2, 3, 4) picking one of four unique cards: (10, 9, 8, 7} ipping four coins: (HΗ , HΗ , HΗΤH, HHTT , HΤHΗ, HTHT, HΤΗ, HTTT , THHΗ , THHT, ΤΗΤΗ, ΤHTT , TH , TTHT, TTH , TTTT O flipping two coins: (HH, HT, TH, TT} O rolling a die: (1, 2, 3, 4, 5, 6)

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Give the sample space for a chance experiment with four possible outcomes. (Select all that apply.)
a random number generator is used to select a whole number between 1 and 4 inclusive: {1, 2, 3, 4)
O picking one of four unique cards: (10, 9, 8, 7}
O flipping four coins: (HHHH, HHHT, HHTH, HHTT, HTHH, HTHT, HTTH, HTTT, THHH, THHT, THTH, THTT, TTHH, TTHT, TTTH, TTTT}
O flipping two coins: (HH, HT, TH, TT}
O rolling a die: (1, 2, 3, 4, 5, 6}
Transcribed Image Text:Give the sample space for a chance experiment with four possible outcomes. (Select all that apply.) a random number generator is used to select a whole number between 1 and 4 inclusive: {1, 2, 3, 4) O picking one of four unique cards: (10, 9, 8, 7} O flipping four coins: (HHHH, HHHT, HHTH, HHTT, HTHH, HTHT, HTTH, HTTT, THHH, THHT, THTH, THTT, TTHH, TTHT, TTTH, TTTT} O flipping two coins: (HH, HT, TH, TT} O rolling a die: (1, 2, 3, 4, 5, 6}
The Binomial Random Variable x is defined as x = number of successes observed when a binomial experiment is performed. The
probability of x is called the Binomial Probability Distribution. From earlier, we defined the number of trials to be n = 26 and the
probability of success for each trial to be p = 0.35. Success represents a diner choosing their restaurant based on a peer review and a
failure represents a diner choosing their restaurant with some other criteria.
We will use SALT's Binomial Distribution Calculator to determine probabilities for a variety of outcomes based on this random sample
of 26 people who dine out.
The x-axis displays values of the random variable which we defined to be the number of diners among 26 randomly selected diners
who chose to dine at a restaurant based on a peer review. The y-axis displays the probability for the values of x.
The value of x with the greatest probability is x =
, because this is the tallest bar in the graph of the distribution.
Transcribed Image Text:The Binomial Random Variable x is defined as x = number of successes observed when a binomial experiment is performed. The probability of x is called the Binomial Probability Distribution. From earlier, we defined the number of trials to be n = 26 and the probability of success for each trial to be p = 0.35. Success represents a diner choosing their restaurant based on a peer review and a failure represents a diner choosing their restaurant with some other criteria. We will use SALT's Binomial Distribution Calculator to determine probabilities for a variety of outcomes based on this random sample of 26 people who dine out. The x-axis displays values of the random variable which we defined to be the number of diners among 26 randomly selected diners who chose to dine at a restaurant based on a peer review. The y-axis displays the probability for the values of x. The value of x with the greatest probability is x = , because this is the tallest bar in the graph of the distribution.
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