Question

In: Statistics and Probability

A random sample of 100 households and collect data on each household’s income. You find a...

A random sample of 100 households and collect data on each household’s income. You find a sample income standard deviation of $160,000. You want to test the null hypothesis that the population mean income is $100,000, using a p-value of 0.05, against the alternative that it does not equal $100,000.

You will:

A. Reject the null hypothesis if the sample mean is $130,000

B. Fail to reject the null hypothesis if the sample mean is between $80,000 and $120,000

C. Fail to reject the null hypothesis if the sample mean is less than $120,000

D. Accept the null hypothesis

Solutions

Expert Solution

The answer is:

B. Fail to reject the null hypothesis if the sample mean is between $80,000 and $120,000

Explanation

Rejection Region

Based on the information provided, the significance level is α=0.05, and the critical value for a two-tailed test is

tc​=1.984.

The rejection region for this two-tailed test is R={t:∣t∣>1.984}

A. FALSE

When the sample mean = 130000 then the t-statistic is computed as follows:

Since it is observed that ∣t∣=1.875≤tc​=1.984, it is then concluded that the null hypothesis is not rejected.

C. FALSE

If mean = 10000, then:

Since it is observed that ∣t∣=5.625>tc​=1.984, it is then concluded that the null hypothesis is rejected.

Hence the only viable option left is OPTION B which is true.

Let me know in the comments if anything is not clear. I will reply ASAP! Please do upvote if satisfied!


Related Solutions

Suppose we collect a random sample of n = 9 and find an average income of...
Suppose we collect a random sample of n = 9 and find an average income of $49,000 with a sample standard deviation s = $12,000. Provide each of the following using this information. A 95% confidence interval estimate of the population mean µ. What is the value for the margin of error? Interpret your results. A 90% confidence interval estimate of the population mean µ. A 99% confidence interval estimate of the population mean µ.
In a simple random sample of 100 households, the sample mean number of personal computers was...
In a simple random sample of 100 households, the sample mean number of personal computers was 1.32. Assume the population standard deviation is 0.41. Construct a 95% confidence interval for the mean number of personal computers. (a) (1.24, 1.40) (b) (1.25, 1.39) (c) (0.15, 0.67) (d) (0.19, 0.63)
You collect the following information on a sample of 100 adults: Y=LOTTERY= percentage of income the...
You collect the following information on a sample of 100 adults: Y=LOTTERY= percentage of income the person spends on lottery tickets (in %) EDUC= amount of education the individual has (in years) AGE = age of the individual (in years), CHILDREN = number of children the person has (in number of children) INC1000= annual income of the individual (in 1,000s of dollars) The data set can be found in Mod9-1Data. Run the multiple regression in Minitab. Assume a level of...
Income East and West of the Mississippi For a random sample of households in the US,...
Income East and West of the Mississippi For a random sample of households in the US, we record annual household income, whether the location is east or west of the Mississippi River, and number of children. We are interested in determining whether there is a difference in average household income between those east of the Mississippi and those west of the Mississippi. Incorrect answer iconYour answer is incorrect. (a) State the null and alternative hypotheses. Your answer should be an...
If you collect a sample of size 100 with a sample mean of 50 and a...
If you collect a sample of size 100 with a sample mean of 50 and a standard error of the mean of 6 and test the hypothesis that the true mean is equal to 38 using a two tailed test with a significance level of 5% would you reject the hypothesis? Click True to reject or False to fail to reject. True False
A random sample data is given below for annual income from 30 households. 96727 96621 107235...
A random sample data is given below for annual income from 30 households. 96727 96621 107235 95366 97681 101890 95432 96697 107511 96886 96522 95385 97469 96664 106627 95744 95208 107795 98717 106622 107338 94929 95801 105601 97912 97611 96362 96244 97835 99610 A. From the info given above, what is the IQR? B. From the data above, construct a 95% confidence interval for the population's mean annual income. _____________< u > _____________ C. What is the statistical interpretation of...
Suppose you collect data on people’s height from a sample of 100 people. The average height...
Suppose you collect data on people’s height from a sample of 100 people. The average height in the sample is 66, and the standard deviation of the sample meanis 3 inches. Calculate the 95% confidence interval for the average height in the population At the 12% significance level, test the hypothesis that the average height in the population is 69 inches. Use the four steps we discussed in class. Calculate the p-value for the hypothesis that the average height in...
Suppose a random sample of 100 households were selected from a large city. if the true...
Suppose a random sample of 100 households were selected from a large city. if the true proportion of households in the city that owns at least one pet is 0.4, then what is the probability that at least 50% of the sample owns at least one pet? a) 0.0207 b) 0.9793 c) 0.5793 d) 0.4207 e) 0.2578
National data indicates that​ 35% of households own a desktop computer. In a random sample of...
National data indicates that​ 35% of households own a desktop computer. In a random sample of 570​ households, 40% owned a desktop computer. Does this provide enough evidence to show a difference in the proportion of households that own a​ desktop? Identify the appropriate null and alternative hypotheses. A. H0: p= 0.35 Ha​: p ≠ 0.35 B. H0​: p​ = 0.40     Ha​:p​ > 0.40 C. H0​:p​ = 0.35     Ha​:p​ < 0.35 D. H0​:p​ = 0.40     Ha​:p ≠ 0.40
Collect some quantitative data (your data needs to be quantitative)   Find the sample mean and standard...
Collect some quantitative data (your data needs to be quantitative)   Find the sample mean and standard deviation. Plot it in a histogram. Does the data seem to follow the bell curve of the normal distribution? What features of the data do or do not fit in with the shape of the normal curve. How much deviation from the curve is to be expected?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT