A GROUP OF 400 CAR BUYERS WAS ANALYZED TO DETERMINE WHETHER THEY INTEND TO PARTICIPATE IN THE TRADE-IN OFFER. THE DEALERS WANT TO FIND OUT WHETHER THE PROPORTION OF PARTICIPANTS IN THE OFFER IS AT LEAST 20%. IT TURNED OUT THAT X = 94 EXPRESSED THEIR WILLINGNESS TO TRADE THEIR CARS IN.
AT THE 5% SIGNIFICANCE LEVEL, DO YOU HAVE SUFFICIENT EVIDENCE THAT THE POPULATION PROPORTION WOULD BE ABOVE 20%?
[A] NULL HYPOTHESIS STATES:
ALTERNATIVE HYPOTHESIS STATES:
[B] SHOW THE TEST STATISTIC VALUE AND THE CRITICAL VALUE(S) NEEDED FOR YOUR DECISION
TEST STATISTIC =
CRITICAL VALUE =
[C] FORMULATE THE REJECTION RULE AND DECISION.
REJECTION RULE STATES: REJECT THE NULL HYPOTHESIS IF <FILL THE BLANK SPACE>
DECISION: WE (REJECT) (DO NOT REJECT) THE NULL HYPOTHESIS (CIRCLE ONE ANSWER)
(A)
NULL HYPOTHESIS STATES: Here proportion of car buyers they intend to participate in the trade - in offer is less than or equal to 20%. p <= 0.20
ALTERNATIVE HYPOTHESIS STATES: Here proportion of car buyers they intend to participate in the trade - in offer is greater than to 20%. p > 0.20
[B] Sample proportion = p^ = 94/400 = 0.235
standard error of proportion = sqrt(p * (1-p)/n) = sqrt [0.2 * 0.8/400] = 0.02
Test statstic
Z = (p^ - p0)/se0 = (0.235 - 0.2)/0.02 = 1.75
Here critical value for 5% significance level
Zcritical = 1.645
Here rejection rule is Z > 1.645 if we reject the null hypothesis.
[C] Here as we see that Z > Zcritical , reject the null hypothesis and our deciston is that we reject the null hypothesis.
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