Consider the following regression results based on 20 observations. [You may find it useful to reference the t table.] Coefficients Standard Error t Stat p-value Intercept 33.1308 4.4008 7.528 0.000 x1 0.2906 0.1944 1.495 0.152 a-1. Choose the hypotheses to determine if the intercept differs from zero. H0: β0 = 0; HA: β0 ≠ 0 H0: β0 ≥ 0; HA: β0 < 0 H0: β0 ≤ 0; HA: β0 > 0 a-2. At the 5% significance level, what is the conclusion to the hypothesis test? Does the intercept differ from zero? Reject H0; the intercept is greater than zero. Reject H0; the intercept differs from zero. Do not reject H0; the intercept is greater than zero. Do not reject H0; the intercept differs from zero. b-1. Construct the 95% confidence interval for the slope coefficient. (Negative values should be indicated by a minus sign. Round "tα/2,df" value to 3 decimal places and final answers to 2 decimal places.) b-2. At the 5% significance level, can we conclude the slope differs from zero? Yes, since the interval contains zero. Yes, since the interval does not contain zero. No, since the interval contains zero. No, since the interval does not contain zero.
Consider the following regression results based on 20 observations. [You may find it useful to reference...
Consider the following competing hypotheses: (You may find it useful to reference the appropriate table: z table or t table) H0: μD ≥ 0; HA: μD < 0 d¯d¯ = −3.2, sD = 6.0, n = 23 The following results are obtained using matched samples from two normally distributed populations: a-1. Calculate the value of the test statistic, assuming that the sample difference is normally distributed. (Negative value should be indicated by a minus sign. Round intermediate calculations to at least...
Consider the following competing hypotheses and accompanying sample data. (You may find it useful to reference the appropriate table: z table or t table) H0: p1 − p2 ≥ 0 HA: p1 − p2 < 0 x1 = 250 x2 = 275 n1 = 400 n2 = 400 a. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal...
For a sample of 20 New England cities, a sociologist studies the crime rate in each city (crimes per 100,000 residents) as a function of its poverty rate (in %) and its median income (in $1,000s). A portion of the regression results is shown in the accompanying table. Use Table 2 and Table 4. ANOVA df SS MS F Significance F Regression 2 2,517.3 1,258.6 7.49E-01 Residual 17 72,837.53 4,284.56 Total 19 75,354.80 Coefficients...
Consider the following regression results based on 40 observations. [You may find it useful to reference the t table.] Standard Error 12.6824 0.9614 Coefficients t Stat 3.257 p-value 0.002 Intercept 1.3096 0.9535 #1 0.992 0.328 a. Specify the hypotheses to determine if the slope differs from minus one. b-1. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.) Test statistic
A multinomial experiment produced the following results:
(You may find it useful to reference the appropriate table:
chi-square table or F table)
Category
1
2
3
Frequency
117
100
83
a. Choose the appropriate alternative
hypothesis at H0: p1 =
0.50, p2 = 0.30, and p3 =
0.20.
All population proportions differ from their hypothesized
values.
At least one of the population proportions differs from its
hypothesized value.
b. Calculate the value of the test statistic.
(Round intermediate calculations to...
Consider the following data drawn independently from normally distributed populations: (You may find it useful to reference the appropriate table: z table or t table) x−1x−1 = 27.7 x−2x−2 = 30.1 σ12 = 92.8 σ22 = 87.5 n1 = 24 n2 = 33 a. Construct the 99% confidence interval for the difference between the population means. (Negative values should be indicated by a minus sign. Round all intermediate calculations to at least 4 decimal places and final answers to 2...
For a sample of 20 New England cities, a sociologist studies the crime rate in each city (crimes per 100,000 residents) as a function of its poverty rate (in %) and its median income (in $1,000s). A portion of the regression results is as follows. [You may find it useful to reference the t table.) F 0.05 ANOVA Regression Residual Total M S 229.2 4,464.56 Significance F 0.950 df SS 2 458.3 17 75,897.54 1976,355.9 Intercept Poverty Income Coefficients 754.4596...
Consider the following hypotheses: HO: > 220 HA: U <220 A sample of 72 observations results in a sample mean of 209. The population standard deviation is known to be 18. (You may find it useful to reference the appropriate table: z table or t table) a-1. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) Test...
In order to conduct a hypothesis test for the population proportion, you sample 290 observations that result in 87 successes. (You may find it useful to reference the appropriate table: z table or t table) H0: p ≥ 0.36; HA: p < 0.36. a-1. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) a-2. Find the p-value....
Consider the following hypotheses: H0: μ = 410 HA: μ ≠ 410 The population is normally distributed with a population standard deviation of 46. (You may find it useful to reference the appropriate table: z table or t table) a-1. Calculate the value of the test statistic with x−x− = 421 and n = 85. (Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) a-2. What is the conclusion at the 10% significance...