Here we have given that,
n=number of American households=1000
x: number of American households watched the television program young Sheldon on one particular Thursday = 37
Now, we estimate the sample proportion
as
=sample proportion American households watched the television
program young Sheldon on one particular Thursday
=
=
= 0.037
p=populaiton proportion of American households watched young sheldon= 3% =0.03
The below mentioned necessary assumption is satisfied for this hypothesis test (one sample proportion test).
Claim: To check whether the proportion of American households watched young Sheldon more than 3% i.e. 0.03.
The null and alternative hypothesis are as follows,

v/s

where p is the population proportion of American households watched young Sheldon
This is the right one-tailed test.
Now, we can find the test statistic is as follows,
Z-statistics=
=
=1.30
The test statistics is 1.30.
Now we find the P-value,
p-value=P(Z > z-statistics)
=1- P( Z < 1.30)
=1 - 0.90320 Using standard normal z table see the value corresponding to the z=1.30
= 0.0968
The p-value is 0.0968
Decision:
= level of significance= 0.05
Here p-value (0.0968) greater than (>) 0.05
Conclusion:
We fail to reject the Ho (Null Hypothesis)
There is not sufficient evidence to support the claim that more than 3% of American households watched young sheldon.
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