Question

In: Statistics and Probability

Question: At the 10% level of significance, research is conducted to test whether the true proportion...

Question: At the 10% level of significance, research is conducted to test whether the true proportion of non-registered voters in the state of Florida between the ages of 18 and 44 years is 10%. It is shown that out of 1,260 individuals in the state of Florida, 146 individuals in this age group are non-registered voters. Test the claim that true proportion of non-registered voters between the ages of 18 and 44 years is more than 10%. {Note: Use three decimal places for sample proportion}.

Null Hypothesis :

Alternate Hypothesis :

This is a tail test:   {Fill in the blank with either left or right or two}.

Sample proportion: {Fill the blank with sample proportion value rounded to THREE decimal places}

Each category has a count of at least 5 in them: {Based on your understanding of the problem, fill the blank either with true or false}

We use ___ distribution: {Fill the blank with z or t}

Critical value is:   {Fill the blank with the critical value; to report a critical value for two tail test just enter the positive value}

Test Statistic: {Fill the blank with the computed test statistic value rounded to TWO decimals}

p-value =  {Fill the blank with the computed p-value}

Decision: p-value is the level of significance:  {Fill the blank with < or > or = or <>}

At the given level of significance, we have evidence to reject the: {Fill the blank with sufficient or insufficient}.

We conclude that the test is {Fill the blank with significant or insignificant}

Solutions

Expert Solution

Solution:


Related Solutions

Question 2) Which of the following is true? a) The significance level of a test is...
Question 2) Which of the following is true? a) The significance level of a test is the probability that the null hypothesis is false. b) The power of a test is the probability of accepting a null hypothesis that is true. c) If a null hypothesis is rejected against an alternative at the 5% level, then using the same data, it must be rejected against that alternative at the 1% level. d) If a null hypothesis is rejected against an...
2.) Using the level of significance of .01, test the claim that the proportion of college...
2.) Using the level of significance of .01, test the claim that the proportion of college students who are not on financial aid of any sort is greater than 20%. Find the test value using 1PropZtest on your calculator if 262 students out of 1000 students surveyed are not on any financial aid. Find the p-value using Norm.s.dist on Excel Find the critical value using Norm.s.inv on Excel State the conclusion based on critical value Translate conclusion (use complete sentence)...
Use a 0.03 significance level to test the claim that the proportion of men who plan...
Use a 0.03 significance level to test the claim that the proportion of men who plan to vote in the next election is the same as the proportion of women who plan to vote (homogeneous). Men and Women were randomly selected and asked whether they planned to vote in the next election. The results are shown below. Show all work please / Men / Women Plan to Vote / 93 / 158 Do Not Plan to Vote / 116 /...
Question #3 Use P-Value method and 3% significance level, test the claim that the true mean...
Question #3 Use P-Value method and 3% significance level, test the claim that the true mean weight loss produced by the three exercise programs have the same mean. Assume that the populations are normally distributed with the same variance. Exercise A Exercise B Exercise C 5.6 6.8 9.3 8.1 4.9 6.2 4.3 3.1 5.8 9.1 7.8 7.1 7.1 1.2 7.9
Assume that a hypothesis test will be conducted using significance level α = .01 and alternative...
Assume that a hypothesis test will be conducted using significance level α = .01 and alternative hypothesis Ha: μ : ≠ 19.3. Furthermore, we will use the following sample data: n = 12, x-bar = 18.8, and s = 2.1.
Test at the α = 0.05 significance level whether the mean of a random sample of...
Test at the α = 0.05 significance level whether the mean of a random sample of size n = 16 is statistically significantly less than 10 if the distribution from which the sample was taken is normal, ?̅= 8.4 and ? 2 = 10.24. a) What is the appropriate test you can use to test the claim? b) What are the null and alternative hypotheses for this test? c) What is your conclusion? d) Find the confidence interval on the...
(a) Test at the 0.05 level of significance whether the sample of male BMI observations is...
(a) Test at the 0.05 level of significance whether the sample of male BMI observations is enough to show that the mean BMI for males exceeds 25.5. Show your manual calculations (you may use Excel to summarize the sample data). (b) Explain whether your test satisfies the underlying assumptions, with reference to a boxplot of the sample data. bmi_male bmi_female OW_male OW-female 26.9 19.4 1 0 29.9 23.1 1 0 28.2 24.8 1 0 30.5 18.4 1 0 25.6 29.9...
Assume that we would like to test at significance level 0.01 whether there is enough evidence...
Assume that we would like to test at significance level 0.01 whether there is enough evidence to claim that average height of children by the end of age three in families with low-socioeconomic status is less than the general average height for this age, which is 94 cm. Assume that height measurements by the end of age three follow a normal distribution with standard deviation 6 cm. (a) Write the null and alternative hypothesis for the hypothesis testing procedure that...
using 0.01 level of significance use the information given to test whether a person's ability in...
using 0.01 level of significance use the information given to test whether a person's ability in math is independent of his or her interest in calculus. Ability in math Low Average High   Low 63 42 15 Average 58 61 31 High 14 47 29 Interest in calculus - left
Assume that we would like to test at significance level 0.01 whether there is enough evidence...
Assume that we would like to test at significance level 0.01 whether there is enough evidence to claim that average height of children by the end of age three in families with low-socioeconomic status is less than the general average height for this age, which is 94 cm. Assume that height measurements by the end of age three follow a normal distribution with standard deviation 6 cm. For this study, assume that 9 children (from families with low socioeconomic status...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT